A pattern recognition methodology for fault detection: a circuit breaker case study
| Autor: | V. Pesenti Campagnoni, Stefano Ierace, F. Floreani, Sergio Cavalieri |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering business.industry Condition-based maintenance Control engineering Pattern recognition 02 engineering and technology Predictive maintenance Fault detection and isolation law.invention 020901 industrial engineering & automation law Electrical network Pattern recognition (psychology) Settore ING-IND/17 - Impianti Industriali Meccanici 0202 electrical engineering electronic engineering information engineering Prognostics 020201 artificial intelligence & image processing Artificial intelligence business Low voltage Circuit breaker |
| Zdroj: | Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015) ISBN: 9783319270623 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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