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.

(2016). A pattern recognition methodology for fault detection: a circuit breaker case study . Retrieved from http://hdl.handle.net/10446/57341

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

Cavalieri, Sergio
2016-01-01

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.
2016
Inglese
Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015)
Koskinen, Kari T.; Kortelainen, Helena; Aaltonen, Jussi; Uusitalo, Teuvo; Komonen, Kari; Mathew, Joseph; Laitinen, Jouko
978-3-319-27062-3
279
287
cartaceo
online
Switzerland
Cham
Springer
esperti anonimi
WCEAM 2015: 10th World Congress on Engineering Asset Management, Tampere, Finland, 28-30 September 2015
10th
Tampere (Finland)
28-30 September 2015
University of Technology - Tampere, Department of Mechanical Engineering and Industrial Systems
VTT Technical Research Centre of Finland
internazionale
contributo
Settore ING-IND/17 - Impianti Industriali Meccanici
info:eu-repo/semantics/conferenceObject
4
Pesenti Campagnoni, Valerio; Ierace, Stefano; Floreani, Fabio; Cavalieri, Sergio
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
reserved
Non definito
273
(2016). A pattern recognition methodology for fault detection: a circuit breaker case study . Retrieved from http://hdl.handle.net/10446/57341
File allegato/i alla scheda:
File Dimensione del file Formato  
Cavalieri - A pattern recognition methodology.pdf

Solo gestori di archivio

Versione: publisher's version - versione editoriale
Licenza: Licenza default Aisberg
Dimensione del file 861.88 kB
Formato Adobe PDF
861.88 kB Adobe PDF   Visualizza/Apri
Pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/57341
Citazioni
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact