{"id":4583,"date":"2022-09-14T17:30:57","date_gmt":"2022-09-14T21:30:57","guid":{"rendered":"https:\/\/aliidesign-dev.com\/sigga\/ai-and-condition-based-monitoring\/"},"modified":"2022-09-14T17:30:57","modified_gmt":"2022-09-14T21:30:57","slug":"ai-and-condition-based-monitoring","status":"publish","type":"post","link":"https:\/\/sigga.elitewebsolutions.io\/pt-br\/ai-and-condition-based-monitoring\/","title":{"rendered":"Aplicativos de IA para monitoramento baseado em condi\u00e7\u00e3o para EAM"},"content":{"rendered":"<p><span lang=\"EN-US\" data-contrast=\"auto\">You may have heard about the automation capabilities of artificial intelligence (AI) and about the considerable benefits of condition-based monitoring (CBM). Bringing these concepts together holds the promise of further automation in manufacturing and maintenance. Today, we\u2019ll touch on the basics of CBM and AI then speak to the critical steps you can take to be ready for the future of enterprise asset management.<\/span><\/p>\n<p style=\"font-size: 24px font-weight: bold;\" aria-level=\"1\"><strong>Condition-based Monitoring and AI Applications<\/strong><\/p>\n<p><span data-contrast=\"auto\">Unpredictable equipment and asset failure make up 75% of the causation factors that lead to downtime and considerable financial losses. To mitigate the effects of equipment-related downtime, CBM frameworks \u2013 <a style=\"text-decoration: none font-weight: bold;\" href=\"\/blog\/smart-plants\" target=\"_blank\" rel=\"noopener\">an Industry 4.0 business model<\/a><span data-contrast=\"auto\"> \u2013 were developed. CBM frameworks involve the use of IIoT sensors, edge devices, and smart machines to monitor the real-time performance of production equipment to detect and automatically trigger an alert if a measure is out of normal range. Of course, the goal is to avert a breakdown event through a maintenance intervention.<\/span><\/span><\/p>\n<p><span data-contrast=\"auto\">AI applications such as machine learning (ML) bring greater efficiency to the analysis of the condition measurements in order to provide further advanced warning of an impending issue. Successful implementation of CBM strategies requires the deployment of both data collection and analytical tools to gain insight into equipment performance.<\/span><\/p>\n<p style=\"font-size: 24px font-weight: bold;\" aria-level=\"2\"><strong>Types of Asset Condition Monitoring<\/strong><\/p>\n<p><span data-contrast=\"auto\">Condition monitoring can be as simple as conducting inspection rounds to take and record measurement readings from pressure sensors, oil levels, temperature gauges, and more. CBM utilizes IIoT devices to take this a step further by replacing the human actions to inspect, capture and evaluate measures against pre-set parameters and trigger the alert. Here\u2019s some common types and uses of asset condition monitoring:<\/span><\/p>\n<p style=\"text-align: center;\">\n<div style=\"overflow-x: auto max-width: 100% width: 100% margin-left: auto margin-right: auto;\" data-hs-responsive-table=\"true\">\n<table style=\"width: 80% border-collapse: collapse table-layout: fixed border: 1px solid #99acc2 height: 253px margin-left: auto margin-right: auto border-width: 1px border-style: solid;\">\n<tbody>\n<tr style=\"height: 33px;\">\n<td style=\"width: 33.3333% padding: 4px height: 33px background-color: #144470 border-width: 1px border-style: solid;\">Measurement<\/td>\n<td style=\"width: 33% padding: 4px height: 33px background-color: #144470 border-width: 1px border-style: solid;\">Issues Detected<\/td>\n<td style=\"width: 33.3333% padding: 4px height: 33px background-color: #144470 border-width: 1px border-style: solid;\">Typical Assets<\/td>\n<\/tr>\n<tr style=\"height: 33px;\">\n<td style=\"width: 33.3333% padding: 4px height: 33px border-width: 1px border-style: solid;\">Vibration<\/td>\n<td style=\"width: 33% padding: 4px height: 33px border-width: 1px border-style: solid;\"><span lang=\"EN-US\" data-contrast=\"auto\">Detect mechanical faults such as imbalance, misalignment, looseness, and bearing failure<\/span><\/td>\n<td style=\"width: 33.3333% padding: 4px height: 33px border-width: 1px border-style: solid;\"><span lang=\"EN-US\" data-contrast=\"auto\">Assets with rotating parts such as centrifugal pumps, motors, compressors<\/span><\/td>\n<\/tr>\n<tr style=\"height: 33px;\">\n<td style=\"width: 33.3333% padding: 4px height: 33px border-width: 1px border-style: solid;\">Temperature<\/td>\n<td style=\"width: 33% padding: 4px height: 33px border-width: 1px border-style: solid;\"><span lang=\"EN-US\" data-contrast=\"auto\">From simple temperature readings to infrared thermography to catch temperature irregularities which can be caused by a part misalignment or belt issue<\/span><\/td>\n<td style=\"width: 33.3333% padding: 4px height: 33px border-width: 1px border-style: solid;\">&gt;<span lang=\"EN-US\" data-contrast=\"auto\">Motors, bearings, gear boxes<\/span><\/td>\n<\/tr>\n<tr style=\"height: 33px;\">\n<td style=\"width: 33.3333% padding: 4px height: 33px border-width: 1px border-style: solid;\">Oil level &amp; condition<\/td>\n<td style=\"width: 33% padding: 4px height: 33px border-width: 1px border-style: solid;\"><span lang=\"EN-US\" data-contrast=\"auto\">Testing lubricants &amp; other fluids for level, chemical properties, contamination, viscosity, and foreign particles indicating degradation of the machine surface (ie. iron, silicon, aluminum silicate)<\/span><\/td>\n<td style=\"width: 33.3333% padding: 4px height: 33px border-width: 1px border-style: solid;\"><span lang=\"EN-US\" data-contrast=\"auto\">Compressors, gear boxes, transportation vehicles<\/span><\/td>\n<\/tr>\n<tr style=\"height: 33px;\">\n<td style=\"width: 33.3333% padding: 4px height: 33px border-width: 1px border-style: solid;\">Sound<\/td>\n<td style=\"width: 33% padding: 4px height: 33px border-width: 1px border-style: solid;\"><span lang=\"EN-US\" data-contrast=\"auto\">Ultrasound testing for a change in the normal operating parameters as the source of the issue can vary widely. It could be anything from leaking gases, under\/over lubrication, to improperly seated parts<\/span><\/td>\n<td style=\"width: 33.3333% padding: 4px height: 33px border-width: 1px border-style: solid;\"><span lang=\"EN-US\" data-contrast=\"auto\">A wide range of equipment including equipment that has high-pressure fluids<\/span><\/td>\n<\/tr>\n<tr style=\"height: 33px;\">\n<td style=\"width: 33.3333% padding: 4px height: 33px border-width: 1px border-style: solid;\">Electrical<\/td>\n<td style=\"width: 33% padding: 4px height: 33px border-width: 1px border-style: solid;\"><span lang=\"EN-US\" data-contrast=\"auto\">Evaluating changes in the electrical parameters including induction, pulse and frequency response, capacitance and resistance.<\/span><\/td>\n<td style=\"width: 33.3333% padding: 4px height: 33px border-width: 1px border-style: solid;\"><span lang=\"EN-US\" data-contrast=\"auto\">Motors &amp; other electrical systems<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p><span data-contrast=\"auto\">Other asset condition monitoring techniques include electromagnetic, radiation, laser interferometry, motor circuit analysis and more. What\u2019s key in asset condition monitoring is to be deliberate in your choice of assets, what is most important to measure, and how to measure for cost effective results.<\/span><\/p>\n<p style=\"font-weight: bold font-size: 24px;\" aria-level=\"2\"><strong>Advantages of Condition Monitoring<\/strong><\/p>\n<p><span data-contrast=\"auto\">CBM coordinates maintenance activities based on the asset condition as compared to regularly scheduled preventive maintenance tasks. It also reduces the potential of sudden breakdown. Both of these impacts result in greater efficiency and more cost-effective maintenance practices. In addition:<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"14\" data-list-defn-props=\"{&amp;quot335552541&quot;:1,&amp;quot335559684&quot;:-2,&amp;quot335559685&quot;:360,&amp;quot335559991&quot;:360,&amp;quot469769226&quot;:&amp;quotSymbol&quot;,&amp;quot469769242&quot;:[8226],&amp;quot469777803&quot;:&amp;quotleft&quot;,&amp;quot469777804&quot;:&quot;\uf0b7&quot;,&amp;quot469777815&quot;:&amp;quothybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Improves asset reliability and availability for improved production efficiency<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"14\" data-list-defn-props=\"{&amp;quot335552541&quot;:1,&amp;quot335559684&quot;:-2,&amp;quot335559685&quot;:360,&amp;quot335559991&quot;:360,&amp;quot469769226&quot;:&amp;quotSymbol&quot;,&amp;quot469769242&quot;:[8226],&amp;quot469777803&quot;:&amp;quotleft&quot;,&amp;quot469777804&quot;:&quot;\uf0b7&quot;,&amp;quot469777815&quot;:&amp;quothybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Increases asset performance and longevity<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"14\" data-list-defn-props=\"{&amp;quot335552541&quot;:1,&amp;quot335559684&quot;:-2,&amp;quot335559685&quot;:360,&amp;quot335559991&quot;:360,&amp;quot469769226&quot;:&amp;quotSymbol&quot;,&amp;quot469769242&quot;:[8226],&amp;quot469777803&quot;:&amp;quotleft&quot;,&amp;quot469777804&quot;:&quot;\uf0b7&quot;,&amp;quot469777815&quot;:&amp;quothybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"none\">Reduces unplanned downtime<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"none\">The degree of benefit is driven by the degree of planning, training, and use of technology to assist in the data collection and analysis.<\/span><\/p>\n<p style=\"font-weight: bold font-size: 24px;\" aria-level=\"2\"><strong>AI in Condition-based Monitoring and Maintenance<\/strong><\/p>\n<p><a style=\"text-decoration: none font-weight: bold;\" href=\"\/blog\/industry-4.0-to-industry-5.0\" target=\"_blank\" rel=\"noopener\">Industry 4.0 and 5.0 technologies<\/a><span data-contrast=\"auto\"> and data analysis capabilities make CBM truly predictive. That is, you can gain 60 or 90 days advanced warning of a condition changing and even identification of the underlying malfunction. This type of analysis requires a lot of data from a number of measurement systems to be fed to a central database where artificial intelligence is used to analyze the trends. The database structure in SAP S\/4HANA has been specifically designed for this purpose.<\/span><\/p>\n<p style=\"text-align: center;\"><i>\u201cS\/4HANA provides tools to help companies move from scheduled to predictive maintenance<br \/>\nfor more efficient equipment uptime and lower service costs.\u201d<\/i><\/p>\n<p style=\"text-align: center;\">Jim O\u2019Donnell, TechTarget, <a style=\"text-decoration: none;\" href=\"https:\/\/www.techtarget.com\/searchsap\/feature\/SAP-wants-to-own-intelligent-enterprise-but-firms-have-options\" target=\"_blank\" rel=\"noopener\">SAP wants to own intelligent enterprise, but firms have options<\/a>, &gt;June, 2021<\/p>\n<p><span data-contrast=\"auto\">The application of ML brings another level of efficiency. Instead of determining and setting the parameters for each measurement manually, now the models can be generated automatically providing significant time savings for your engineers and technicians.<\/span><\/p>\n<p><span data-contrast=\"auto\">Additional impacts include:<\/span><\/p>\n<p style=\"text-align: center;\"><span data-contrast=\"auto\">\u201cThe incidence rate of both false alarms (false positives) and missing alarms (false negatives) have been found to be reduced by over 90%. This reduces human engineering efforts in diagnosing machine faults by over 60%, reduces maintenance budgets and improves machine availability by about 10%.\u201d<\/span><\/p>\n<p style=\"text-align: center;\">\n<p style=\"text-align: center;\">Dr. Patrick Bangert, algorithmica technologies GmbH, <a style=\"text-decoration: none;\" href=\"http:\/\/www.algorithmica-technologies.com\/en\/case_studies\/smart-condition-monitoring-using-machine-learning\" target=\"_blank\" rel=\"noopener\">Smart Condition Monitoring Using Machine Learning<\/a><\/p>\n<p><span data-contrast=\"auto\">Although there are great efficiency advantages of AI and ML for CBM, it can take time to collect the data needed for analysis. Get started with the right foundation.<\/span><\/p>\n<p style=\"font-weight: bold font-size: 24px;\" aria-level=\"2\"><span data-contrast=\"none\">Getting Started with Condition-based Monitoring Strategies<\/span><\/p>\n<p aria-level=\"2\">\n<p>&gt;1) Structure and Centralize Data Collection<\/p>\n<p><span data-contrast=\"auto\">AI, when used correctly to make good decisions quickly, requires that the data is available and accurate. If you have messy master data due to inefficient business processes, then you can\u2019t utilize the data to drive process improvements.<\/span><\/p>\n<p><span data-contrast=\"auto\">Eliminating any paper based processes by deploying a modern software interface to SAP should be a first step. These systems can help streamline your core maintenance process steps and remove unnecessary work, like manually entering data into SAP, while structuring the data inputs into SAP. As we noted earlier, if you use or will be transitioning to SAP S4\/HANA, it is specifically designed to deploy AI and ML for maintenance operations.<\/span><\/p>\n<p><strong>2) Capture Current Sensor Data<\/strong><\/p>\n<p><span data-contrast=\"auto\">Your modern-day equipment likely includes a wide range of sensors that can be programmed to feed the central database. Even before you invest in additional IIoT devices, you can already be using the data available to analyze to set triggers for alerts or to determine where you need to invest in additional monitoring capability.<\/span><\/p>\n<p><strong>3) Determine Asset Criticality<\/strong><\/p>\n<p><span data-contrast=\"auto\">Prioritize where to invest by reviewing your maintenance history to uncover:<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"15\" data-list-defn-props=\"{&amp;quot335552541&quot;:1,&amp;quot335559684&quot;:-2,&amp;quot335559685&quot;:720,&amp;quot335559991&quot;:360,&amp;quot469769226&quot;:&amp;quotSymbol&quot;,&amp;quot469769242&quot;:[8226],&amp;quot469777803&quot;:&amp;quotleft&quot;,&amp;quot469777804&quot;:&quot;\uf0b7&quot;,&amp;quot469777815&quot;:&amp;quothybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Which critical assets are your \u201cbad actors\u201d? For high ROI, start with your biggest offenders.<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"15\" data-list-defn-props=\"{&amp;quot335552541&quot;:1,&amp;quot335559684&quot;:-2,&amp;quot335559685&quot;:720,&amp;quot335559991&quot;:360,&amp;quot469769226&quot;:&amp;quotSymbol&quot;,&amp;quot469769242&quot;:[8226],&amp;quot469777803&quot;:&amp;quotleft&quot;,&amp;quot469777804&quot;:&quot;\uf0b7&quot;,&amp;quot469777815&quot;:&amp;quothybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Which assets have features that can be monitored? Not all failures are measurable.<\/span><\/li>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"15\" data-list-defn-props=\"{&amp;quot335552541&quot;:1,&amp;quot335559684&quot;:-2,&amp;quot335559685&quot;:720,&amp;quot335559991&quot;:360,&amp;quot469769226&quot;:&amp;quotSymbol&quot;,&amp;quot469769242&quot;:[8226],&amp;quot469777803&quot;:&amp;quotleft&quot;,&amp;quot469777804&quot;:&quot;\uf0b7&quot;,&amp;quot469777815&quot;:&amp;quothybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Which assets will benefit most from condition-based monitoring techniques? The failure types have measurable degradation that can be recognized early enough to do something to avoid the complete failure event.<\/span><\/li>\n<\/ul>\n<p><strong>4) Practice Reliability Centered Maintenance<\/strong><\/p>\n<p><a style=\"text-decoration: none font-weight: bold;\" href=\"\/blog\/improve-eam-with-reliability-centered-maintenance?hsLang=en-us\" target=\"_blank\" rel=\"noopener\"><span data-contrast=\"none\">Reliability Centered Maintenance (RCM)<\/span><\/a><span data-contrast=\"auto\"> takes the approach of identifying the conditions that could potentially result in downtime and then prioritizing failure modalities from a maintenance cost standpoint. With this data, operations can decide what specific actions provide the best return on maintenance spend to prevent those failure modalities from manifesting themselves. As a result of RCM analysis, you will find that certain assets are critical for investment in measuring technologies and using AI, while others should be managed as \u201crun-to-failure\u201d due to the low cost to replace as compared to the cost of applying predictive measures.<\/span><\/p>\n<p><strong>5) End-to-end Digital Processes<\/strong><\/p>\n<p><span data-contrast=\"auto\">Responding to CBM alerts requires real-time communication and coordination of the workforce. For maintenance operations, this means replacing paper work orders and notification processes with a mobile device with an interface to SAP. Initially condition monitoring activities will result in a little advanced notice of an impending issue. In these cases, real-time notification is critical to avoid the downtime event. Overtime, with AI and ML results, you can apply true predictive maintenance strategies and see greater forewarning of an issue starting to occur.<\/span><\/p>\n<p style=\"font-weight: bold font-size: 24px;\"><span data-contrast=\"auto\">Let Us Help You Get Started<\/span><\/p>\n<p><span data-contrast=\"auto\">Here at Sigga, we have been helping asset-intensive industries with SAP Plant Maintenance drive digital transformation and mobile initiatives in industrial maintenance for 20 years. Our SAP Certified EAM software solutions can help you improve the capture, structure, and quality of the data needed to build condition-based monitoring strategies.<\/span><\/p>\n<p><span data-contrast=\"auto\">Our EAM Empower mobile EAM application digitizes the entire maintenance process connecting users across your business real-time. It helps your technicians accurately capture and structure the data you\u2019ll need in SAP to determine asset criticality for condition-based monitoring investments.<\/span><\/p>\n<p><span data-contrast=\"auto\">Sigga Planning &amp; Scheduling provides the management tools for the effective deployment of preventive and predictive maintenance strategies. Together these solutions form an effective foundation for real-time coordination of maintenance activities as a result of your condition-based monitoring investments.<\/span><\/p>\n<p style=\"text-align: center font-weight: bold;\"><span lang=\"EN-US\" data-contrast=\"auto\">Learn how you can take your preventive maintenance program to the next level!<\/span><\/p>\n<p style=\"text-align: center font-weight: bold;\">\n","protected":false},"excerpt":{"rendered":"<p>You may have heard about the automation capabilities of artificial intelligence (AI) and about the considerable benefits of condition-based monitoring (CBM). Bringing these concepts together holds the promise of further automation in manufacturing and maintenance. Today, we\u2019ll touch on the basics of CBM and AI then speak to the critical steps you can take to [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":4433,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[58,57,54,61],"class_list":["post-4583","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-automation","tag-industrial-mobility","tag-maintenance-management","tag-mobile-maintenance"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Applications for Condition-based Monitoring for EAM<\/title>\n<meta name=\"description\" content=\"Condition-based monitoring technologies continue to advance with AI and ML. See how to take your operations towards true predictive maintenance.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Applications for Condition-based Monitoring for EAM\" \/>\n<meta property=\"og:description\" content=\"Condition-based monitoring technologies continue to advance with AI and ML. See how to take your operations towards true predictive maintenance.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sigga.elitewebsolutions.io\/pt-br\/ai-and-condition-based-monitoring\/\" \/>\n<meta property=\"og:site_name\" content=\"Sigga Technologies\" \/>\n<meta property=\"article:published_time\" content=\"2022-09-14T21:30:57+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2023\/05\/Untitled-design-45-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1280\" \/>\n\t<meta property=\"og:image:height\" content=\"720\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Matt Sickler\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:title\" content=\"AI Applications for Condition-based Monitoring for EAM\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Matt Sickler\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/\"},\"author\":{\"name\":\"Matt Sickler\",\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/#\/schema\/person\/a3ad5c613fef8faa9b50c685f7f3b36d\"},\"headline\":\"AI Applications for Condition-based Monitoring for EAM\",\"datePublished\":\"2022-09-14T21:30:57+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/\"},\"wordCount\":1391,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/#organization\"},\"image\":{\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2023\/05\/Untitled-design-45-1.jpg\",\"keywords\":[\"Automation\",\"Industrial Mobility\",\"Maintenance Management\",\"Mobile Maintenance\"],\"articleSection\":[\"Uncategorized\"],\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/\",\"url\":\"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/\",\"name\":\"AI Applications for Condition-based Monitoring for EAM\",\"isPartOf\":{\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2023\/05\/Untitled-design-45-1.jpg\",\"datePublished\":\"2022-09-14T21:30:57+00:00\",\"description\":\"Condition-based monitoring technologies continue to advance with AI and ML. See how to take your operations towards true predictive maintenance.\",\"breadcrumb\":{\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#primaryimage\",\"url\":\"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2023\/05\/Untitled-design-45-1.jpg\",\"contentUrl\":\"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2023\/05\/Untitled-design-45-1.jpg\",\"width\":1280,\"height\":720},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/sigga.elitewebsolutions.io\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"AI Applications for Condition-based Monitoring for EAM\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/#website\",\"url\":\"https:\/\/sigga.elitewebsolutions.io\/\",\"name\":\"Sigga Technologies\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/sigga.elitewebsolutions.io\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pt-BR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/#organization\",\"name\":\"Sigga Technologies\",\"url\":\"https:\/\/sigga.elitewebsolutions.io\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2024\/04\/logo.svg\",\"contentUrl\":\"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2024\/04\/logo.svg\",\"caption\":\"Sigga Technologies\"},\"image\":{\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/#\/schema\/logo\/image\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/#\/schema\/person\/a3ad5c613fef8faa9b50c685f7f3b36d\",\"name\":\"Matt Sickler\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/sigga.elitewebsolutions.io\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/5fb52e0cb75497e2ee69383dba5e63ad20529b1c808bbba3e2db0da6ec6579c1?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/5fb52e0cb75497e2ee69383dba5e63ad20529b1c808bbba3e2db0da6ec6579c1?s=96&d=mm&r=g\",\"caption\":\"Matt Sickler\"},\"url\":\"https:\/\/sigga.elitewebsolutions.io\/pt-br\/author\/matt-sickler\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Aplicativos de IA para monitoramento baseado em condi\u00e7\u00e3o para EAM","description":"As tecnologias de monitoramento baseadas em condi\u00e7\u00f5es continuam avan\u00e7ando com IA e ML. Veja como levar suas opera\u00e7\u00f5es para uma verdadeira manuten\u00e7\u00e3o preditiva.","robots":{"index":"noindex","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"og_locale":"pt_BR","og_type":"article","og_title":"AI Applications for Condition-based Monitoring for EAM","og_description":"Condition-based monitoring technologies continue to advance with AI and ML. See how to take your operations towards true predictive maintenance.","og_url":"https:\/\/sigga.elitewebsolutions.io\/pt-br\/ai-and-condition-based-monitoring\/","og_site_name":"Sigga Technologies","article_published_time":"2022-09-14T21:30:57+00:00","og_image":[{"width":1280,"height":720,"url":"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2023\/05\/Untitled-design-45-1.jpg","type":"image\/jpeg"}],"author":"Matt Sickler","twitter_card":"summary_large_image","twitter_title":"AI Applications for Condition-based Monitoring for EAM","twitter_misc":{"Escrito por":"Matt Sickler","Est. tempo de leitura":"7 minutos"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#article","isPartOf":{"@id":"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/"},"author":{"name":"Matt Sickler","@id":"https:\/\/sigga.elitewebsolutions.io\/#\/schema\/person\/a3ad5c613fef8faa9b50c685f7f3b36d"},"headline":"AI Applications for Condition-based Monitoring for EAM","datePublished":"2022-09-14T21:30:57+00:00","mainEntityOfPage":{"@id":"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/"},"wordCount":1391,"commentCount":0,"publisher":{"@id":"https:\/\/sigga.elitewebsolutions.io\/#organization"},"image":{"@id":"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#primaryimage"},"thumbnailUrl":"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2023\/05\/Untitled-design-45-1.jpg","keywords":["Automation","Industrial Mobility","Maintenance Management","Mobile Maintenance"],"articleSection":["Uncategorized"],"inLanguage":"pt-BR","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/","url":"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/","name":"Aplicativos de IA para monitoramento baseado em condi\u00e7\u00e3o para EAM","isPartOf":{"@id":"https:\/\/sigga.elitewebsolutions.io\/#website"},"primaryImageOfPage":{"@id":"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#primaryimage"},"image":{"@id":"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#primaryimage"},"thumbnailUrl":"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2023\/05\/Untitled-design-45-1.jpg","datePublished":"2022-09-14T21:30:57+00:00","description":"As tecnologias de monitoramento baseadas em condi\u00e7\u00f5es continuam avan\u00e7ando com IA e ML. Veja como levar suas opera\u00e7\u00f5es para uma verdadeira manuten\u00e7\u00e3o preditiva.","breadcrumb":{"@id":"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#breadcrumb"},"inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/"]}]},{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#primaryimage","url":"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2023\/05\/Untitled-design-45-1.jpg","contentUrl":"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2023\/05\/Untitled-design-45-1.jpg","width":1280,"height":720},{"@type":"BreadcrumbList","@id":"https:\/\/sigga.elitewebsolutions.io\/ai-and-condition-based-monitoring\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/sigga.elitewebsolutions.io\/"},{"@type":"ListItem","position":2,"name":"AI Applications for Condition-based Monitoring for EAM"}]},{"@type":"WebSite","@id":"https:\/\/sigga.elitewebsolutions.io\/#website","url":"https:\/\/sigga.elitewebsolutions.io\/","name":"Sigga Technologies","description":"","publisher":{"@id":"https:\/\/sigga.elitewebsolutions.io\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/sigga.elitewebsolutions.io\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"pt-BR"},{"@type":"Organization","@id":"https:\/\/sigga.elitewebsolutions.io\/#organization","name":"Sigga Technologies","url":"https:\/\/sigga.elitewebsolutions.io\/","logo":{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/sigga.elitewebsolutions.io\/#\/schema\/logo\/image\/","url":"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2024\/04\/logo.svg","contentUrl":"https:\/\/sigga.elitewebsolutions.io\/wp-content\/uploads\/2024\/04\/logo.svg","caption":"Sigga Technologies"},"image":{"@id":"https:\/\/sigga.elitewebsolutions.io\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/sigga.elitewebsolutions.io\/#\/schema\/person\/a3ad5c613fef8faa9b50c685f7f3b36d","name":"Matt Sickler","image":{"@type":"ImageObject","inLanguage":"pt-BR","@id":"https:\/\/sigga.elitewebsolutions.io\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/5fb52e0cb75497e2ee69383dba5e63ad20529b1c808bbba3e2db0da6ec6579c1?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/5fb52e0cb75497e2ee69383dba5e63ad20529b1c808bbba3e2db0da6ec6579c1?s=96&d=mm&r=g","caption":"Matt Sickler"},"url":"https:\/\/sigga.elitewebsolutions.io\/pt-br\/author\/matt-sickler\/"}]}},"_links":{"self":[{"href":"https:\/\/sigga.elitewebsolutions.io\/pt-br\/wp-json\/wp\/v2\/posts\/4583","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sigga.elitewebsolutions.io\/pt-br\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sigga.elitewebsolutions.io\/pt-br\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sigga.elitewebsolutions.io\/pt-br\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/sigga.elitewebsolutions.io\/pt-br\/wp-json\/wp\/v2\/comments?post=4583"}],"version-history":[{"count":0,"href":"https:\/\/sigga.elitewebsolutions.io\/pt-br\/wp-json\/wp\/v2\/posts\/4583\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sigga.elitewebsolutions.io\/pt-br\/wp-json\/wp\/v2\/media\/4433"}],"wp:attachment":[{"href":"https:\/\/sigga.elitewebsolutions.io\/pt-br\/wp-json\/wp\/v2\/media?parent=4583"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sigga.elitewebsolutions.io\/pt-br\/wp-json\/wp\/v2\/categories?post=4583"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sigga.elitewebsolutions.io\/pt-br\/wp-json\/wp\/v2\/tags?post=4583"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}