{"id":38837,"date":"2026-04-07T17:40:18","date_gmt":"2026-04-07T16:40:18","guid":{"rendered":"https:\/\/www.argonandco.com\/?page_id=38837"},"modified":"2026-05-05T14:59:17","modified_gmt":"2026-05-05T13:59:17","slug":"predictive-maintenance","status":"publish","type":"page","link":"https:\/\/www.argonandco.com\/us\/services\/maintenance-and-after-sales\/predictive-maintenance\/","title":{"rendered":"Predictive maintenance"},"content":{"rendered":"<h2><b>Introduction and challenges<\/b><\/h2>\n<p><span class=\"intro\" style=\"font-weight: 400;\">Maintenance operations are on the cusp of a paradigm shift with the growth and accessibility of breakthrough technology, such as the Internet of Things and machine learning. These developments will bring about significant improvement in our ability to predict changes in machine operating performance.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The commercialization of sensors, which are capable of recording all types of data, combined with the power of data analytics, provides maintenance teams with formidable tools with which to make decisions and optimize maintenance activity.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Perhaps the most exciting development is the emerging concept of predictive maintenance which resulted from the joining of preventive maintenance and curative maintenance which focuses on repairs to improving the lifetime of equipment.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For any new innovations to be successfully embedded the basics need to be in place \u2013 this is perhaps the biggest challenge for effective predictive maintenance. Collecting the right data, understanding the operating modes and optimizing failure prevention are all critical to creating a powerful predictive solution.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The implementation of these predictive maintenance solutions can be complex; the requirements need to be carefully defined and the pre-requisites understood, therefore businesses need the right partners to be able to technically assist their operational teams.\u00a0<\/span><\/p>\n<h2><b>How we can help\u00a0<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Argon &amp; Co supports its clients through all aspects of predictive maintenance projects, including:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The diagnostic phase, which informs the business case, the level of maturity of the organization and defines the prerequisites<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The implementation phase, which involves a selection of the solution, piloting and roll-out<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">To do this, we rely on strong functional expertise and in-depth knowledge of the technological ecosystem.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction and challenges Maintenance operations are on the cusp of a paradigm shift with the growth and accessibility of breakthrough technology, such as the Internet of Things and machine learning. These developments will bring about significant improvement in our ability to predict changes in machine operating performance. The commercialization of sensors, which are capable of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":37268,"menu_order":8,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-38837","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Predictive maintenance - Argon &amp; Co<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.argonandco.com\/us\/services\/maintenance-and-after-sales\/predictive-maintenance\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Predictive maintenance - Argon &amp; Co\" \/>\n<meta property=\"og:description\" content=\"Introduction and challenges Maintenance operations are on the cusp of a paradigm shift with the growth and accessibility of breakthrough technology, such as the Internet of Things and machine learning. 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