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SIMILARITY CURVE-BASED DEVICE MALFUNCTION EARLY-WARNING AND OPTIMIZATION METHOD AND SYSTEM
SIMILARITY CURVE-BASED DEVICE MALFUNCTION EARLY-WARNING AND OPTIMIZATION METHOD AND SYSTEM
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机译：基于相似曲线的设备故障预警与优化方法及系统
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摘要
A similarity curve-based device malfunction early-warning and optimization method and system. The method comprises: sifting historical real-time normal operation data from real-time operation history of a device; generating a data status set on the basis of the real-time normal operation history, sampling according to the distribution of data blocks within the data status set, and building a normal operation data model that reflects the actual operation pattern of the device; comparing the real-time status value group of the on-line operation of the device to the value group of each status point in the normal operation data model, and calculating and generating a similarity curve; performing calculation on the normal operation data status set of the device on the basis of the normal operation data model, defining early-warning and optimization rules for potential malfunctions of the device corresponding to the changes in the similarity curve; combining the early-warning and optimization rules for potential malfunctions of the device, analyzing the changes in the similarity curve, issuing early-warning of potential malfunctions of the device, and generating device optimization operation instructions.
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