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A Fuzzy Inference System for Power Systems

机译:电力系统模糊推理系统

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摘要

The amount of data available on the industrial plants has seen an exponential growth in the last few years. One of the greatest player in this trend has been the technological progress that has made also cheap devices smart. Thus, also the low voltage (LV) circuit breaker (CB) becomes an acquisition system able to communicate data to the cloud. Because of the several sources of uncertainties and unknowns, deterministic approaches do not always provide correct results while heuristic approaches, such as Fuzzy Inference Systems (FIS), provide better results. This paper proposes, starting from the diverse measurements available in the cloud, a FIS able to monitor the overall state of health (SOH) of the industrial plant.
机译:工业厂房上可获得的数据量在过去几年中有指数增长。这种趋势中最伟大的球员之一是技术进步,也是聪明的廉价设备。因此,低电压(LV)断路器(CB)也成为能够将数据传送到云的采集系统。由于几个不确定性和未知来源,确定性方法并不总是提供正确的结果,而启发式方法,例如模糊推理系统(FIS)提供更好的结果。本文提出从云中可用的多样性测量开始,这是一种能够监测工业厂的整体健康状况(SOH)的FIS。

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