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An Intelligent Maintenance System (IMS) is a system that utilizes the collected data from the machinery in order to predict and prevent the potential failures in them. The occurrence of failures in the machinery can be costly and even catastrophic. In order to avoid them, there needs to be a system which analyzes the behavior of the machine and provides alarms and instructions for preventive maintenance. Analyzing the behavior of the machines has become possible by means of advanced sensors, data collection systems, data storage/transfer capabilities and data analytic tools developed for such purpose. More information on the related data analytic tools can be found in Prognostics. The aggregation of data collection, storage, transformation, analysis and decision making for smart maintenance is called an Intelligent Maintenance System (IMS). == Definition == Intelligent maintenance system is a system that utilizes the history data by facilitating data analytics and decision support tools to predict and prevent the potential failure of the machines. With the growing complexity of manufacturing processes and machinery, the role of monitoring systems and intelligent maintenance is becoming more crucial. The recent advancements in information technology, computers and electronics have facilitated the design and implementation of such systems. Based on the industries growing demand in sustainability of the assets, different maintenance practices have been designed and implemented. The maintenance practices generally include condition-based maintenance (CBM), Reliability-Centered Maintenance (RCM), Corrective maintenance, scheduled or planned maintenance and predictive maintenance. An Intelligent Maintenance System enhances the performance of predictive maintenance systems by utilizing the advancements in computer science, electronics and information technology. The key research elements of intelligent maintenance systems consist of: “1) Transformation of data to information to knowledge and synchronization of the decisions with remote systems; 2) Intelligent embedded prognostics algorithms for assessing the degradation and predicting the performance in future; 3) Infotronics software and hardware platforms that make the products capable of thinking, linking, reconfiguring and sustaining in a networked and tether-free environment; 4) Embedded product services and life cycle information for closed-loop product designs“ 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Intelligent Maintenance Systems」の詳細全文を読む スポンサード リンク
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