{"id":6477,"date":"2022-03-04T21:26:26","date_gmt":"2022-03-04T21:26:26","guid":{"rendered":"https:\/\/mpulsesoftware.com\/?p=6477"},"modified":"2025-07-30T06:16:16","modified_gmt":"2025-07-30T06:16:16","slug":"do-predictive-maintenance-right","status":"publish","type":"post","link":"https:\/\/mpulsesoftware.com\/blog\/cmms\/do-predictive-maintenance-right\/","title":{"rendered":"How to Do Predictive Maintenance \u2014 The Right Way"},"content":{"rendered":"<p>Not all organizations are ready for predictive maintenance software.<\/p>\n<p>However, some companies are.<\/p>\n<p>If you\u2019re one of them, then here\u2019s how to do it the right way.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_81 counter-flat ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/mpulsesoftware.com\/blog\/cmms\/do-predictive-maintenance-right\/#Step_1_Get_Your_Stakeholders_on_the_Same_Page\" >Step 1: Get Your Stakeholders on the Same Page<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/mpulsesoftware.com\/blog\/cmms\/do-predictive-maintenance-right\/#Step_2_Identify_Your_Goals\" >Step 2: Identify Your Goals<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/mpulsesoftware.com\/blog\/cmms\/do-predictive-maintenance-right\/#Step_3_Create_a_Pilot_Program\" >Step 3: Create a Pilot Program<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/mpulsesoftware.com\/blog\/cmms\/do-predictive-maintenance-right\/#Step_3_Train_Your_Team\" >Step 3: Train Your Team<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/mpulsesoftware.com\/blog\/cmms\/do-predictive-maintenance-right\/#Step_4_Start_Asset_Monitoring\" >Step 4: Start Asset Monitoring<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/mpulsesoftware.com\/blog\/cmms\/do-predictive-maintenance-right\/#Step_5_Expand_Your_Predictive_Maintenance_Strategy\" >Step 5: Expand Your Predictive Maintenance Strategy<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Step_1_Get_Your_Stakeholders_on_the_Same_Page\"><\/span>Step 1: Get Your Stakeholders on the Same Page<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The first step requires digging deep on the meaning of predictive maintenance before you get started. It will prevent a lot of confusion down the road, because people will define it differently.<\/p>\n<p>Some people define predictive maintenance as the analysis of how long an asset will last using one or many types of measurement. A classic example is electrical transmission grids. Engineers analyze detailed information about equipment failure rates, so they can program software to predict when similar assets will fail in the future.<\/p>\n<p>Others describe predictive maintenance as gathering data on the actual condition of equipment to determine when maintenance is needed. You might also hear it called <a href=\"https:\/\/mpulsesoftware.com\/software\/features\/condition-based-maintenance\/\">condition-based maintenance<\/a> (CBM). CBM tools and CMMS software can analyze how the asset is working\u2014maybe by measuring operating temperature or oil viscosity, etc. This data helps spot signs of potential problems, and then CMMS software sends alerts before breakdowns occur.<\/p>\n<p>CBM allows you to track meters and gauges on assets, and to trigger work orders at specific points. Because CBM monitors an asset\u2019s real-time condition, there\u2019s a predictive element to it (hence, the confusion).<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Step_2_Identify_Your_Goals\"><\/span>Step 2: Identify Your Goals<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Define your long-term goals for predictive maintenance solutions. Decide where they can translate into significant operational improvements for your organization. Some examples include\u2026<\/p>\n<ul>\n<li aria-level=\"1\">Less downtime<\/li>\n<li aria-level=\"1\">Fewer repairs and lower repair costs<\/li>\n<li aria-level=\"1\">Longer asset life<\/li>\n<li aria-level=\"1\">A more comprehensive view of asset health for better maintenance planning<\/li>\n<li aria-level=\"1\">The opportunity to use staff more effectively and efficiently by focusing them on the assets that really need attention<\/li>\n<\/ul>\n<p>Pick one or two long-term goals, and then write down your questions about how <a href=\"https:\/\/mpulsesoftware.com\/software\/features\/preventive-maintenance\/\">predictive maintenance tools<\/a> can help you get there. Also, determine the obstacles you\u2019re facing. These questions can be general or specific, and they\u2019ll serve as the basis for the next step.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Step_3_Create_a_Pilot_Program\"><\/span>Step 3: Create a Pilot Program<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Select 1-5 assets to form a pilot predictive maintenance program. These assets should be key elements of your operations\u2014ones that will have an impact on uptime, operations, and production. These assets should have conditions that can be monitored for performance, and any changes should be observable in the data to prevent failure.<\/p>\n<p>Build predictive maintenance strategy around these assets first, investing in the right hardware and software to monitor the elements that you want to watch.\u00a0 Determine what sensors you\u2019ll need to determine any changes to the condition of that asset, such as\u2026<\/p>\n<ul>\n<li aria-level=\"1\">Oil viscosity<\/li>\n<li aria-level=\"1\">Vibration<\/li>\n<li aria-level=\"1\">Radiography<\/li>\n<li aria-level=\"1\">Motor circuit analysis<\/li>\n<li aria-level=\"1\">Thermography<\/li>\n<li aria-level=\"1\">Ultrasound<\/li>\n<li aria-level=\"1\">Laser interferometry<\/li>\n<li aria-level=\"1\">Electrical condition monitoring<\/li>\n<li aria-level=\"1\">Electromagnetic measurement<\/li>\n<\/ul>\n<p>Work closely with your CMMS vendor to integrate the data with your software to evaluate current conditions of critical assets and when failure may occur. Repeat these processes to improve your predictive maintenance program as you collect more data.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Step_3_Train_Your_Team\"><\/span>Step 3: Train Your Team<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Training your team is so important, we\u2019re including it as a separate step. Investing in predictive maintenance tools without training your people to use it is penny-wise and pound-foolish.<\/p>\n<p>Different users will need to learn different things about the process. Management will need more information about data and reporting functions, whereas technicians need to focus on how predictive maintenance solutions can help with repairs. Some stakeholders may need more direction than others, so plan accordingly.<\/p>\n<p>Training directly impacts your success\u2014and your bottom line. It\u2019s the real secret to predictive maintenance success.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Step_4_Start_Asset_Monitoring\"><\/span>Step 4: Start Asset Monitoring<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Things are getting exciting now. Your sensors are working and sending data to the cloud. Your predictive maintenance software is analyzing this data and <a href=\"https:\/\/mpulsesoftware.com\/software\/features\/reporting\/\">creating reports and insights<\/a>. Now you should be able to\u2026<\/p>\n<ul>\n<li aria-level=\"1\">Monitor multiple meters (e.g., revolutions, psi, hours) on a single asset<\/li>\n<li aria-level=\"1\">Specify multiple conditions, triggers, and responses<\/li>\n<li aria-level=\"1\">Automatically generate work orders based on specified triggers<\/li>\n<li aria-level=\"1\">Use data analysis tools to identify potential problems<\/li>\n<li aria-level=\"1\">Set up automatic notifications<\/li>\n<li aria-level=\"1\">Produce status reports and documents<\/li>\n<\/ul>\n<p>Take time here to evaluate how things are going. Make changes as necessary. While you may be tempted to start expanding your predictive maintenance strategy rapidly, the long-term benefits of making improvements early will pay off later.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Step_5_Expand_Your_Predictive_Maintenance_Strategy\"><\/span>Step 5: Expand Your Predictive Maintenance Strategy<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Now, you\u2019re at the point where your predictive maintenance tools are running pretty smoothly. Start expanding it to other key assets by choosing another 1-5 and repeating the process. If you\u2019ve done your due diligence, you\u2019ll be able to expand more quickly now.<\/p>\n<p>Establishing a predictive maintenance solution can feel overwhelming. But there\u2019s no better source of valuable information than real-world experience. Also, take advantage of other people\u2019s experience to make your own journey a little smoother.<\/p>\n<p>You can start by calling our predictive maintenance technology experts at (800) 944-1796 (USA and Canada) or +1 (541) 302-6677 (outside of USA and Canada). We\u2019re happy to share our secrets to success.<\/p>\n<p>Planning your strategy for implementing predictive maintenance software can feel overwhelming, but MPulse is here to help. <a href=\"https:\/\/mpulsesoftware.com\/contact\/\">Contact us<\/a>. We\u2019ve worked with our customers, both large and small, to integrate predictive maintenance management technology in their maintenance operations. We\u2019ll get you where you need to be at a pace that works for you.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Not all organizations are ready for predictive maintenance software. However, some companies are. If you\u2019re one of them, then here\u2019s how to do it the right way. Step 1: Get Your Stakeholders on the Same Page The first step requires digging deep on the meaning of predictive maintenance before you get started. It will prevent a lot of confusion down the road, because people will define it differently. Some people define predictive maintenance as the analysis of how long an asset will last using one or many types of measurement. A classic example is electrical transmission grids. Engineers analyze detailed information about equipment failure rates, so they can program software to predict when similar assets will fail in the future. Others describe predictive maintenance as gathering data on the actual condition of equipment to determine when maintenance is needed. You might also hear it called condition-based maintenance (CBM). CBM tools and CMMS software can analyze how the asset is working\u2014maybe by measuring operating temperature or oil viscosity, etc. This data helps spot signs of potential problems, and then CMMS software sends alerts before breakdowns occur. CBM allows you to track meters and gauges on assets, and to trigger work orders at specific points. Because CBM monitors an asset\u2019s real-time condition, there\u2019s a predictive element to it (hence, the confusion). Step 2: Identify Your Goals Define your long-term goals for predictive maintenance solutions. Decide where they can translate into significant operational improvements for your organization. Some examples include\u2026 Less downtime Fewer repairs and lower repair costs Longer asset life A more comprehensive view of asset health for better maintenance planning The opportunity to use staff more effectively and efficiently by focusing them on the assets that really need attention Pick one or two long-term goals, and then write down your questions about how predictive maintenance tools can help you get there. Also, determine the obstacles you\u2019re facing. These questions can be general or specific, and they\u2019ll serve as the basis for the next step. Step 3: Create a Pilot Program Select 1-5 assets to form a pilot predictive maintenance program. These assets should be key elements of your operations\u2014ones that will have an impact on uptime, operations, and production. These assets should have conditions that can be monitored for performance, and any changes should be observable in the data to prevent failure. Build predictive maintenance strategy around these assets first, investing in the right hardware and software to monitor the elements that you want to watch.\u00a0 Determine what sensors you\u2019ll need to determine any changes to the condition of that asset, such as\u2026 Oil viscosity Vibration Radiography Motor circuit analysis Thermography Ultrasound Laser interferometry Electrical condition monitoring Electromagnetic measurement Work closely with your CMMS vendor to integrate the data with your software to evaluate current conditions of critical assets and when failure may occur. Repeat these processes to improve your predictive maintenance program as you collect more data. Step 3: Train Your Team Training your team is so important, we\u2019re including it as a separate step. Investing in predictive maintenance tools without training your people to use it is penny-wise and pound-foolish. Different users will need to learn different things about the process. Management will need more information about data and reporting functions, whereas technicians need to focus on how predictive maintenance solutions can help with repairs. Some stakeholders may need more direction than others, so plan accordingly. Training directly impacts your success\u2014and your bottom line. It\u2019s the real secret to predictive maintenance success. Step 4: Start Asset Monitoring Things are getting exciting now. Your sensors are working and sending data to the cloud. Your predictive maintenance software is analyzing this data and creating reports and insights. Now you should be able to\u2026 Monitor multiple meters (e.g., revolutions, psi, hours) on a single asset Specify multiple conditions, triggers, and responses Automatically generate work orders based on specified triggers Use data analysis tools to identify potential problems Set up automatic notifications Produce status reports and documents Take time here to evaluate how things are going. Make changes as necessary. While you may be tempted to start expanding your predictive maintenance strategy rapidly, the long-term benefits of making improvements early will pay off later. Step 5: Expand Your Predictive Maintenance Strategy Now, you\u2019re at the point where your predictive maintenance tools are running pretty smoothly. Start expanding it to other key assets by choosing another 1-5 and repeating the process. If you\u2019ve done your due diligence, you\u2019ll be able to expand more quickly now. Establishing a predictive maintenance solution can feel overwhelming. But there\u2019s no better source of valuable information than real-world experience. Also, take advantage of other people\u2019s experience to make your own journey a little smoother. You can start by calling our predictive maintenance technology experts at (800) 944-1796 (USA and Canada) or +1 (541) 302-6677 (outside of USA and Canada). We\u2019re happy to share our secrets to success. Planning your strategy for implementing predictive maintenance software can feel overwhelming, but MPulse is here to help. Contact us. We\u2019ve worked with our customers, both large and small, to integrate predictive maintenance management technology in their maintenance operations. We\u2019ll get you where you need to be at a pace that works for you.<\/p>\n","protected":false},"author":6,"featured_media":6512,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[12,13],"tags":[],"class_list":["post-6477","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cmms","category-maintenance-management"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.0 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>How to Do Predictive Maintenance \u2014 The Right Way<\/title>\n<meta name=\"description\" content=\"Predictive maintenance tools will reduce asset or equipment failure for your team. Know how to do predictive maintenance right.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mpulsesoftware.com\/blog\/cmms\/do-predictive-maintenance-right\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Do Predictive Maintenance \u2014 The Right Way\" \/>\n<meta property=\"og:description\" content=\"Predictive maintenance tools will reduce asset or equipment failure for your team. 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