Title :
Fourier analysis of motor current for diagnosis of broken bars in squirrel-cage induction machines
Author :
Mehrjou, Mohammad Rezazadeh ; Mariun, Norman ; Marhaban, Mohammad Hamiruce ; Misron, Norhisam
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Putra Malaysia, Serdang, Malaysia
Abstract :
Condition monitoring, signal processing and data analysis are the key parts of the induction machine (IM) fault detection scheme. Frequency analysis of the signal acquired through the condition monitoring is commonly applied for motor fault detection. This paper is intended to investigate the ability and effectiveness of Fourier analysis of motor current for broken rotor bar detection. Accordingly, the current signals at different amount of load were measured and analyzed for broken rotor bar diagnosis in a squirrel-cage induction machine.
Keywords :
Fourier analysis; asynchronous machines; condition monitoring; fault diagnosis; squirrel cage motors; Fourier analysis; IM; broken bars; condition monitoring; frequency analysis; motor current; squirrel-cage induction machine fault detection scheme; Condition monitoring; Fault detection; Signal processing; Squirrel-cage induction Machine;
Conference_Titel :
Research and Development (SCOReD), 2010 IEEE Student Conference on
Conference_Location :
Putrajaya
Print_ISBN :
978-1-4244-8647-2
DOI :
10.1109/SCORED.2010.5704057