New Fault Detection Techniques For Induction Motors

• Autorzy: Cusido J. , Rosero J. , Aldabas E. , Ortega J. A. , Romeral L.
• Języki publikacji: EN

Abstrakty

EN

Double frequency tests are used for evaluating stator windings analyzing the temperature. Likewise, signal injection on induction machines is a well-known technique on sensorless motor control fields to find out the rotor’s position. Motor Current Signature Analysis (MCSA) is the most widely used method for identifying faults in induction motors. MCSA focuses its efforts on the spectral analysis of stator current. Motor faults such as broken rotor bars, bearing damage and eccentricity of the rotor axis can be detected. However, the method presents some problems at low speed and low torque, mainly due to the proximity between the frequencies to be detected and the small amplitude of the resulting harmonics respectively. In both cases, the problem of frequency accuracy is very tricky since the sideband harmonic is close to the fundamental harmonic. This paper proposes injecting an additional voltage into the machine under test at a frequency different from the fundamental one, and then studying the resulting harmonics around the new frequencies appearing due to the composition between injected and main frequencies.

Słowa kluczowe

EN

induction motor; fault detection; motor current signature analysis

• Wydawca: AGH University of Science and Technology
• Czasopismo: Electrical Power Quality and Utilisation. Magazine
• Rocznik: 2006
• Tom: Vol. 2, iss. 1
• Strony: 39--46
• Opis fizyczny: Bibliogr. 7 poz., rys.

Twórcy

autor

Cusido J.

• Asea Brown Boveri, Barcelona, Spain

autor

Rosero J.

• Universitat Politècnica de Catalunya, Spain

autor

Aldabas E.

• Universitat Politècnica de Catalunya, Spain

autor

Ortega J. A.

• Universitat Politècnica de Catalunya, Spain

autor

Romeral L.

• Universitat Politècnica de Catalunya, Spain

Bibliografia

• 1. A l f o r d T . : Motor Current Analysis and its Applications in Induction Motors Fault Diagnosis. ENTEK IRD International Corporation. 1998
• 2. C a m e r o n J . R . , T h o m s o n W . T . , a n d D o w A . B . : “Vibration and current monitoring for detecting airgap eccentricity in large induction motors”, IEE Proceedings, pp. 155–163, Vol.133, Pt. B, No 3, May 1986.
• 3. M o h a m e d E l H a c h e m i B e n b o u z i d : “A Review of Induction Motor Signature Analysis as a Medium for Faults Detection”, IEEE Transactions on Industrial Electronics, Vol. 47, 5, Oct 2000, pp. 984–993.
• 4. T h o m s o n W. T . , a n d F e n g e r M .: “Case histories of current signature analysis to detect faults in induction motor drives”, IEEE International Conference on Electric Machines and Drives, IEMDC’03, Vol. 3, pp 1459–1465, June 2003
• 5. B a c h i r S . , T n a n i S . , C h a m p e n o i s G . , a n d T r i g e a s s o u J . C .: “Induction Motor Modelling of Broken Rotor Bars and Fault Detection by Parameter Estimation”, IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives SDEMPED 2001, pp 145– 149, Goritzia, Italy, September 2001.
• 6. H o l t z J .: “Sensorless Position Control of Induction Motors: an Emerging Technology”, IEEE Transactions on Industrial Electronics, Vol. 45, nº 6, Dec 1998, pp. 840–851.
• 7. K o s t e n k o M . , a n d P i o t r o v s k i L .: Electrical Machines. MIR Publishers, Moscow, 1973.