Browse > Article
http://dx.doi.org/10.5370/JEET.2010.5.1.140

On-line Faults Signature Monitoring Tool for Induction Motor Diagnosis  

Medoued, Ammar (Dept. of Electrical Engineering, Skikda University)
Lebaroud, Abdesselem (Dept. of Electrical Engineering, Skikda University)
Boukadoum, Ahcene (Dept. of Electrical Engineering, Skikda University)
Clerc, Guy (Dept. of Electrical Engineering, Claude Bernard University)
Publication Information
Journal of Electrical Engineering and Technology / v.5, no.1, 2010 , pp. 140-145 More about this Journal
Abstract
The monitoring and the diagnosis of the faults in induction motors starting from the stator current are very interesting, since it is an accessible and measurable quantity. The spectral analysis of the stator current makes it possible to highlight the characteristic frequencies of the faults but in a wide frequency range depending on half the sampling frequency, making it very difficult to monitor on-line the faults. In order to facilitate the use of the relevant frequencies of machine faults we proposed the extraction of the frequency components using two methods, namely, the amplitude and the instantaneous frequency. The theoretical bases of these methods were presented and the results were validated on a test bench with an induction motor of 5.5 kw.
Keywords
On-line Monitoring; Diagnosis; Induction Motor; Instantaneous amplitude; Instantaneous frequency;
Citations & Related Records

Times Cited By SCOPUS : 0
연도 인용수 순위
  • Reference
1 Lebaroud Abdesselam, Clerc Guy, "Classification of Induction Machine Faults by Optimal Time-Frequency Representations," Industrial Electronics, IEEE Transactions, pp.4290- 4298, Vol.55, No.12, Dec., 2008.   DOI   ScienceOn
2 G.B. Kilman and J. Stein. Methods of motor current signature analysis. Electr. Mach. & Power Syst, Vol.5, No. 1, pp.41-52, 1999.
3 Lebaroud Abdesselam, Abdelmalek Khezzar, Ammar Bentounsi, Guy Clerc "Comparison of the Induction Motors Stator Fault Monitoring Methods Based on Current Negative Symmetrical Component," European power electronics and drives , EPE Journal, Vol. 17, No.1, Mar., 2007.
4 Thomson W. T., M Fenger "Current signature analysis to detect inductions motor faults " Introduction" IEEE Industry Applications Magazine_ July/August 2001.   DOI   ScienceOn
5 Lebaroud Abdesselam, Clerc Guy "Diagnosis of Induction Motor Faults Using Instantaneous Frequency Signature Analysis, International conference in electrical machines (ICEM'08), Portugal, Sep., 2008.
6 A.J.M. Cardoso, S.M.A. Cruz, J.F.S. Carvalho, and E.S. Saraiva. Rotor cage fault diagnosis in induction motors by park's vector approach. IEEE, IAS'95 Orlando, Florida, Oct., pp642-646, 1995.
7 Francesco Cupertino et all, "Analysis Techniques for Detection of IM Broken Rotor Bars After Supply Disconnection," IEEE transactions on industry applications, Vol.40, No.2, 2004.