JOURNAL BROWSE
Search
Advanced SearchSearch Tips
On-line Faults Signature Monitoring Tool for Induction Motor Diagnosis
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
On-line Faults Signature Monitoring Tool for Induction Motor Diagnosis
Medoued, Ammar; Lebaroud, Abdesselem; Boukadoum, Ahcene; Clerc, Guy;
  PDF(new window)
 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;
 Language
English
 Cited by
1.
A Study on Fast Maximum Efficiency Control of Stator-Flux-oriented Induction Motor Drives,;

Journal of Electrical Engineering and Technology, 2011. vol.6. 5, pp.626-633 crossref(new window)
2.
Classification of Induction Machine Faults using Time Frequency Representation and Particle Swarm Optimization,;;;;

Journal of Electrical Engineering and Technology, 2014. vol.9. 1, pp.170-177 crossref(new window)
3.
Fault-Tolerant Control of Five-Phase Induction Motor Under Single-Phase Open,;;;;;

Journal of Electrical Engineering and Technology, 2014. vol.9. 3, pp.899-907 crossref(new window)
1.
A Study on Fast Maximum Efficiency Control of Stator-Flux-oriented Induction Motor Drives, Journal of Electrical Engineering and Technology, 2011, 6, 5, 626  crossref(new windwow)
2.
Classification of Induction Machine Faults using Time Frequency Representation and Particle Swarm Optimization, Journal of Electrical Engineering and Technology, 2014, 9, 1, 170  crossref(new windwow)
3.
Fault-Tolerant Control of Five-Phase Induction Motor Under Single-Phase Open, Journal of Electrical Engineering and Technology, 2014, 9, 3, 899  crossref(new windwow)
 References
1.
G.B. Kilman and J. Stein. Methods of motor current signature analysis. Electr. Mach. & Power Syst, Vol.5, No. 1, pp.41-52, 1999.

2.
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.

3.
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. crossref(new window)

4.
Thomson W. T., M Fenger "Current signature analysis to detect inductions motor faults " Introduction" IEEE Industry Applications Magazine_ July/August 2001. crossref(new window)

5.
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.

6.
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.

7.
Lebaroud Abdesselam, Clerc Guy "Diagnosis of Induction Motor Faults Using Instantaneous Frequency Signature Analysis, International conference in electrical machines (ICEM'08), Portugal, Sep., 2008.