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Trends in Fault Diagnosis for Electrical Machines

Authors :
Henao, Humberto
Capolino, Gerard-André
Fernández-Cabanas, Manés
Filippetti, Fiorenzo
Bruzzese, Claudio
Strangas, Elias
Pusca, Remus
Estima, Jorge
Riera-Guasp, Martín
Hedayati-Kia, Shanin
Source :
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname
Publication Year :
2014
Publisher :
Institute of Electrical and Electronics Engineers, 2014.

Abstract

[EN] The fault diagnosis of rotating electrical machines has received an intense amount of research interest during the last 30 years. Reducing maintenance costs and preventing unscheduled downtimes, which result in losses of production and financial incomes, are the priorities of electrical drives manufacturers and operators. In fact, both correct diagnosis and early detection of incipient faults lead to fast unscheduled maintenance and short downtime for the process under consideration. They also prevent the harmful and sometimes devastating consequences of faults and failures. This topic has become far more attractive and critical as the population of electric machines has greatly increased in recent years. The total number of operating electrical machines in the world was around 16.1 billion in 2011, with a growth rate of about 50% in the last five years [1].

Details

Language :
English
Database :
OpenAIRE
Journal :
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname
Accession number :
edsair.dedup.wf.001..bdcd5020f6079e9de77e3938a1817f5c
Full Text :
https://doi.org/10.1109/MIE.2013.2287651