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.
A fuzzy inference system for power systems
Carboni, Alberto;Ragaini, Enrico;Ferrero, Alessandro
2017-01-01
Abstract
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.File | Dimensione | Formato | |
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