Fault detection of broken rotor bars in induction motor using a global fault index

• Published in: IEEE transactions on industry applications Vol. 42; no. 1; pp. 79 - 88
• Main Authors: Didier, G., Ternisien, E., Caspary, O., Razik, H.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-01-2006; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Bars; Bartlett periodogram; broken bar; Computer Science; Condensed Matter; Current measurement; diagnosis; Electric breakdown; Electric power; Electromagnetism; Engineering Sciences; Fault detection; Faults; global fault index; global modulation index; induction motor; Induction motors; Industrial plants; Line current; Manufacturing engineering; Physics; Power measurement; Rotors; Signal and Image processing; Stators; Superconductivity; Voltage; Bartlett periodogram; diagnosis; broken bar; global modulation index; induction motor; global fault index
• ISSN: 0093-9994; 1939-9367
• DOI: 10.1109/TIA.2005.861368

Induction motors play a very important part in the safe and efficient running of any industrial plant. Early detection of abnormalities in the motor would help to avoid costly breakdowns. Accordingly, this work presents a technique for the diagnosis of broken rotor bars in induction motor. Stator voltage and current in an induction motor were measured and employed for computation of the input power of one stator phase. Waveforms of the instantaneous power and line current were subsequently analyzed using the Bartlett periodogram. Different global fault indexes on the instantaneous power spectrum and on the line current spectrum for the fault detection are evaluated. Several rotor cage faults of increasing severity were studied with various load effects. Experimental results prove the efficiency of the employed method.