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.
2017
RTSI 2017 - IEEE 3rd International Forum on Research and Technologies for Society and Industry, Conference Proceedings
9781538639061
Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Energy Engineering and Power Technology; Industrial and Manufacturing Engineering; Health (social science); Management of Technology and Innovation; Artificial Intelligence
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1041772
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