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A pattern recognition methodology for fault detection: a circuit breaker case study

Conference Paper
Publication Date:
2016
Short description:
(2016). A pattern recognition methodology for fault detection: a circuit breaker case study . Retrieved from http://hdl.handle.net/10446/57341
abstract:
Maintenance strategies have evolved from standard cyclic maintenance to more advanced approaches like Condition Based Maintenance and Predictive Maintenance approach. Even if lot of work has been done regarding these methodologies applied on machines or industrial plants, the same care is not applied to other critical devices. In the case of Low Voltage Circuit Breakers, in particular for critical applications, conservative approaches are usually applied. That implies a scheduled replacement of devices could occur with a significant Remaining Useful-Life. This paper deals with Pattern Recognition techniques supporting the first step of prognostics of an electrical circuit breaker. The goal is to develop a methodology for Fault Detection, the first phase of a system of Fault Detection and Isolation.
Iris type:
1.4.01 Contributi in atti di convegno - Conference presentations
List of contributors:
Pesenti Campagnoni, Valerio; Ierace, Stefano; Floreani, Fabio; Cavalieri, Sergio
Authors of the University:
CAVALIERI Sergio
Handle:
https://aisberg.unibg.it/handle/10446/57341
Book title:
Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015)
Published in:
LECTURE NOTES IN MECHANICAL ENGINEERING
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Settore ING-IND/17 - Impianti Industriali Meccanici
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