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• W67760078 abstract "Abstract The conceptual framework of predictive manufacturing systems starts with data acquisition of the monitored assets. Using appropriate sensor installations, various signals such as vibration, pressure, etc., can be extracted. In addition, historical data can be harvested for further data mining. Communication protocols, such as MTConnect and OPC, can help users record controller signals. When all the data are aggregated, this amalgamation is called “Big Data.” The transforming agent consists of several components: an integrated platform, predictive analytics, and visualization tools. The algorithms found in the Watchdog Agent® can be categorized into four sections: signal processing and feature extraction, health assessment, performance prediction, and fault diagnosis. By utilizing the tools, health information (such as current condition, remaining useful life, failure mode, etc.) can be effectively conveyed in terms of a radar chart, fault map, risk chart, and health degradation curves." @default.
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• W67760078 date "2015-01-01" @default.
• W67760078 modified "2023-10-16" @default.
• W67760078 title "Intelligent Factory Agents with Predictive Analytics for Asset Management" @default.
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• W67760078 doi "https://doi.org/10.1016/b978-0-12-800341-1.00019-x" @default.
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