Predictive Maintenance is a method that uses data analysis tools and procedures to identify irregularities in operation and possible problems in processes and equipment so that they can be addressed before the process encounters errors. Predictive maintenance forecasts problems by analyzing historical and current data from several departments inside a company.IoT, AI, and system integration, for example, allow different assets and systems to connect, collaborate, exchange, analyze, and act on data.
Unlike traditional business intelligence tools, organizations leverage artificial intelligence and Machine Learning (ML) technology to analyze IoT data with unprecedented precision and speed. Businesses can now forecast motion up to 20 times faster and more precisely than threshold-based monitoring systems thanks to the emergence of predictive maintenance. Predictive Maintenance sensors, industrial controls, and business systems such as Enterprise Asset Management (EAM) and Enterprise Resource Planning (ERP) software are used to collect data in these solutions.
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