DocumentCode
497907
Title
Fault diagnosis of industrial drives using MCSA techniques
Author
Kumar, K. Vinoth ; Ray, K.K. ; Kumar, K.V.
Author_Institution
Sch. of Electr. Sci., VIT Univ., Vellore, India
fYear
2009
fDate
4-6 June 2009
Firstpage
1
Lastpage
7
Abstract
Three phase squirrel cage induction motors are work horses of industry and are the widely used industrial drives. With the passage of time the machine may develop faults and may hamper the production line that may lead to production and financial losses. A proper planning of maintenance schedule and condition monitoring is essential to reduce such financial loss and shut down time. A condition monitoring system which can predict and identify the prefault condition is the need of the age to prevent such unwanted breakdown time. The MCSA (motor current signature analysis) technique is found one of the most frequently used technique to identify the prefault condition. This paper focuses on experimental results to prove that MCSA technique can identify the good and cracked rotor bar in three phase squirrel cage induction motors under no-load and different load conditions. The diagnostics strategy is presented in this paper and variables that influence the diagnosis are discussed.
Keywords
condition monitoring; fault diagnosis; motor drives; signal processing; squirrel cage motors; MCSA technique; condition monitoring system; diagnostics strategy; fault diagnosis; industrial drive; motor current signature analysis; three phase squirrel cage induction motor; Automatic control; Bars; Circuit faults; Electrical fault detection; Fault diagnosis; Frequency; Induction motors; Job shop scheduling; Machinery production industries; Rotors; fault detection; motor current signature analysis (MCSA); squirrel-cage induction motor;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Communication and Energy Conservation, 2009. INCACEC 2009. 2009 International Conference on
Conference_Location
Perundurai, Tamilnadu
Print_ISBN
978-1-4244-4789-3
Type
conf
Filename
5204473
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