{"id":3581,"date":"2025-11-25T11:13:19","date_gmt":"2025-11-25T10:13:19","guid":{"rendered":"https:\/\/neuraldesigner.com\/solution\/predictive-maintenance\/"},"modified":"2026-03-17T10:40:14","modified_gmt":"2026-03-17T09:40:14","slug":"predictive-maintenance","status":"publish","type":"solution","link":"https:\/\/www.neuraldesigner.com\/solutions\/predictive-maintenance\/","title":{"rendered":"Predictive maintenance using machine learning"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"3581\" class=\"elementor elementor-3581\" data-elementor-post-type=\"solution\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7d69cc1a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7d69cc1a\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-544ab705\" data-id=\"544ab705\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3f97e24e elementor-widget elementor-widget-text-editor\" data-id=\"3f97e24e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<section><p>Predictive maintenance determines the actual condition of the equipment and predicts when the company should perform maintenance.<\/p><p>This approach promises cost savings because the company only performs tasks when warranted.<\/p><h3>Contents<\/h3><ol><li><a href=\"#Objectives\">Objectives<\/a>.<\/li><li><a href=\"#Benefits\">Benefits<\/a>.<\/li><li><a href=\"#Approach\">Approach<\/a>.<\/li><li><a href=\"#Conclusions\">Conclusions<\/a>.<\/li><\/ol><\/section><p><!-- Definition --><\/p><section id=\"Objectives\"><h2>Objectives<\/h2><p>Predictive maintenance looks for anomalies, i.e., unexpected measurements that might indicate a problem &#8211; but are not yet so severe that they are a failure.<\/p><p>The challenge is to determine the condition of in-service equipment to predict when the company should perform maintenance and prevent unexpected failures.<\/p><p><!--<\/p>\n<p>\n                    Industry 4.0 presents the best framework for using neural networks due to the growth in the information we have about any industry's functioning.\n                <\/p>\n<p>        --><\/p><\/section><p><!-- Benefits --><\/p><section id=\"Benefits\"><h2>Benefits<\/h2><p><!--<\/p>\n<p>\n                    To do so, they analyze data from outside and inside the plant.<\/p>\n<p>                    If they detect a behavior deviation during operation, the model raises a flag.\n                <\/p>\n<p>\n                    Reduce the number of unexpected events by optimizing the maintenance plans and costs caused by failures.\n                <\/p>\n<p>\n                    Study in-depth, which are the areas that present a more significant percentage of failure.\n                <\/p>\n<p>\n                    Predictive maintenance reduces costs and risks for engineering companies by anticipating failures of their technical equipment.\n                <\/p>\n<p>\n                    Analyze which external or internal factors are more related to those failures.\n                <\/p>\n<p>\n                    Predict which area is going to fail based on previous experiences.\n                <\/p>\n<p>                <img decoding=\"async\" class=\"medium_left\" src=\"https:\/\/www.neuraldesigner.com\/images\/advanced_analytics_predictive_maintenance.svg\" alt=\"Advanced analytics\" width=\"500\" \/><br \/>        --><\/p><p>Predictive maintenance allows for managing problems that could arise in the present and preventing future unexpected events.<\/p><table><tbody><tr><td style=\"text-align: center; border: none;\"><div style=\"display: inline-block; padding: 1%;\"><p><img decoding=\"async\" style=\"width: 50px;\" src=\"https:\/\/www.neuraldesigner.com\/images\/build.svg\" \/><\/p><h3>IMPROVE PLANNING<\/h3><\/div><\/td><td style=\"text-align: center; border: none;\"><div style=\"display: inline-block; padding: 1%;\"><p><img decoding=\"async\" style=\"width: 50px;\" src=\"https:\/\/www.neuraldesigner.com\/images\/search.svg\" \/><\/p><h3>REDUCE REPAIR COSTS<\/h3><\/div><\/td><\/tr><tr><td style=\"text-align: center; border: none;\"><div style=\"text-align: center;\"><div style=\"display: inline-block; padding: 1%;\"><p><img decoding=\"async\" style=\"width: 50px;\" src=\"https:\/\/www.neuraldesigner.com\/images\/exclamation.svg\" \/><\/p><h3>REDUCE PRODUCTION LOSSES<\/h3><\/div><\/div><\/td><td style=\"text-align: center; border: none;\"><div style=\"display: inline-block; padding: 1%;\"><p><img decoding=\"async\" style=\"width: 50px;\" src=\"https:\/\/www.neuraldesigner.com\/images\/trending_down.svg\" \/><\/p><h3>REDUCE DOWNTIME<\/h3><\/div><\/td><\/tr><\/tbody><\/table><\/section><p><!-- Approach --><\/p><section id=\"Approach\"><h2>Approach<\/h2><p>Predictive maintenance is to model equipment failures based on observations of past machine runs and failures.<\/p><p>Neural networks can model the correct operation of the equipment at a given condition and detect when this operation is an anomaly.<\/p><p>That allows early spot potential equipment failures and fix them before they happen.<\/p><\/section><p><!-- Conclusions --><\/p><section id=\"Conclusions\"><h2>Conclusions<\/h2><p>Predictive maintenance saves companies money since they will have shorter downtime and less lost production, better planning of people and materials, and reduced repair costs.<\/p><p><a href=\"https:\/\/www.neuraldesigner.com\">Neural Designer<\/a> uses machine learning to build predictive models that represent a broad range of variables associated with the failure of equipment.<\/p><\/section><section><h2>Related posts<\/h2><\/section>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"author":13,"featured_media":1677,"template":"","categories":[],"tags":[43],"class_list":["post-3581","solution","type-solution","status-publish","has-post-thumbnail","hentry","tag-industry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Predictive maintenance using machine learning<\/title>\n<meta name=\"description\" content=\"Use machine learning with process data from your industry to detect anomalies and perform predictive maintenance.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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