DocumentCode :
61040
Title :
Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques
Author :
Henao, Humberto ; Capolino, Gerard-Andre ; Fernandez-Cabanas, Manes ; Filippetti, Fiorenzo ; Bruzzese, Claudio ; Strangas, Elias ; Pusca, R. ; Estima, Jorge ; Riera-Guasp, M. ; Hedayati-Kia, Shahin
Author_Institution :
Dept. of Electr. Eng., Univ. of Picardie Jules Verne, Amiens, France
Volume :
8
Issue :
2
fYear :
2014
fDate :
Jun-14
Firstpage :
31
Lastpage :
42
Abstract :
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].
Keywords :
electric machines; fault diagnosis; maintenance engineering; correct diagnosis; early detection; electrical drives manufacturers; fast unscheduled maintenance; fault diagnosis; incipient faults; maintenance costs; rotating electrical machines; unscheduled downtimes; Circuit faults; Electrical machines; Fault diagnosis; Insulation; Maintenance engineering; Rotors; Stator windings;
fLanguage :
English
Journal_Title :
Industrial Electronics Magazine, IEEE
Publisher :
ieee
ISSN :
1932-4529
Type :
jour
DOI :
10.1109/MIE.2013.2287651
Filename :
6839118
Link To Document :
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