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A New Hybrid "Park's Vector - Time Synchronous Averaging" Approach to the Induction Motor-fault Monitoring and Diagnosis
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 Title & Authors
A New Hybrid "Park's Vector - Time Synchronous Averaging" Approach to the Induction Motor-fault Monitoring and Diagnosis
Ngote, Nabil; Guedira, Said; Cherkaoui, Mohamed; Ouassaid, Mohammed;
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 Abstract
Induction motors are critical components in industrial processes since their failure usually lead to an unexpected interruption at the industrial plant. The studies of induction motor behavior during abnormal conditions and the possibility to diagnose different types of faults have been a challenging topic for many electrical machine researchers. In this regard, an efficient and new method to detect the induction motor-fault may be the application of the Time Synchronous Averaging (TSA) to the stator current Park's Vector. The aim of this paper is to present a methodology by which defects in a three-phase wound rotor induction motor can be diagnosed. By exploiting the cyclostationarity characteristics of electrical signals, the TSA method is applied to the stator current Park's Vector, allowing the monitoring of the induction motor operation. Simulation and experimental results are presented in order to show the effectiveness of the proposed method. The obtained results are largely satisfactory, indicating a promising industrial application of the hybrid Park's Vector-TSA approach.
 Keywords
Condition monitoring;Diagnosis;Induction motor;Load unbalance;Motor Current Signature Analysis (MCSA);Park's Vector;Rotor fault;Spectral analysis;Time Synchronous;Averaging (TSA);
 Language
English
 Cited by
1.
On the Detection of Induction-Motor Rotor Fault by the Combined “Time Synchronous Averaging-Discrete Wavelet Transform” Approach,;;;;

Journal of Electrical Engineering and Technology, 2015. vol.10. 6, pp.2315-2325 crossref(new window)
1.
On the Detection of Induction-Motor Rotor Fault by the Combined “Time Synchronous Averaging-Discrete Wavelet Transform” Approach, Journal of Electrical Engineering and Technology, 2015, 10, 6, 2315  crossref(new windwow)
 References
1.
A.H. Bonnett, G.C. Soukup, "Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motors," IEEE Transactions on Industry Applications, vol. 28, no. 4, pp. 921-937, Jul.-Aug. 1992. crossref(new window)

2.
A. Siddique, G.S. Yadava, B.P. Singh, "A review of stator fault monitoring techniques of induction motors," IEEE Transactions on Energy Conversion, vol. 20, no. 1, pp. 106-114, Mar. 2005. crossref(new window)

3.
S. Nandi, H.A. Toliyat, X. Li, "Condition monitoring and fault diagnosis of electrical motors - a review," IEEE Transactions on Energy Conversion, vol. 20, no. 4, pp. 719-729, Dec. 2005. crossref(new window)

4.
G.B. Kliman, R.A. Koegl, J. Stein, R.D. Endicott, M.W. Madden, "Noninvasive detection of broken rotor bars in operating induction motors," IEEE Transactions on Energy Conversion, vol. 3, no. 4, pp. 873-879, Dec. 1988. crossref(new window)

5.
D.G. Dorrell, W.T. Thomson, S. Roach, "Analysis of air-gap flux, current, and vibration signals as a function of the combination of static and dynamic air-gap eccentricity in 3-phase induction motors," IEEE Transactions on Industry Applications, vol. 33, no. 1, pp. 24-34, Jan.-Feb. 1997. crossref(new window)

6.
C. J. Dister and R. Schiferl, "Using temperature, voltage, and/or speed measurements to improve trending of induction motors RMS currents in process control and diagnostics," in Proc. IAS Annual Meeting, 1998, pp. 312-318.

7.
T. A. Lipo, K. C. Chang, "A new approach to flux and torque-sensing in induction machines," IEEE Transactions on Industry Applications, vol. IA-12, no. 4, pp. 142-148, Jul.-Aug. 1986.

8.
W.T. Thomson, M. Fenger, "Case histories of current signature analysis to detect faults in induction motor drives," in Proc. IEMDC'03, 2003, pp. 1459-1465.

9.
H.D. Haynes, D.M. Eissenberg, "Motor current signature analysis," in ASM Handbook, 10th ed, vol. 17. Materials Park, OH: ASM International, 1993, pp. 313-318.

10.
H.D. Haynes, R.C. Kryter, B.K. Stewart, "Use of motor current signature analysis," presented at EPRI Incipient Failure Detection Conference: Predictive Maintenance for the '90s, October 15-17, 1990.

11.
A.J.M. Cardoso, S.M.A. Cruz, D.S.B. Fonseca, "Inter-Turn Stator Winding Fault Diagnosis in Threephase Induction Motors, by Park's Vector Approach," IEEE Transactions on Energy Conversion, vol. 14, no. 3, pp. 595-598, Sep. 1999. crossref(new window)

12.
H. Nejjari, M.E. H. Benbouzid, "Monitoring and diagnosis of induction motors electrical faults using a current park's vector pattern learning approach," IEEE Transaction on Industry Applications, vol. 36, no. 3, pp. 730-735, May-Jun. 2000. crossref(new window)

13.
S.M.A. Cruz, A.J.M. Cardoso, "Rotor cage fault diagnosis in three-phase induction motors by extended Park's vector approach," Electric Machines and Power Systems, vol. 28, no. 4, pp. 289-299, Apr. 2000. crossref(new window)

14.
J.W. Zhang, N.H. Zhu, L. Yang, Q. Yao, Q. Lu, "A Fault Diagnosis Approach for Broken Rotor Bars Based on EMD and Envelope Analysis," Journal of China University of Mining and Technology, vol. 17, no. 2, pp. 205-209, Jun. 2007. crossref(new window)

15.
W.R. Bennett, "Statistics of regenerative digital transmission," Bell System Technical Journal, vol. 37, no. 6, pp. 1501-1542, Nov. 1958. crossref(new window)

16.
W.A. Gardner, C.M. Spooner, Cyclostationary signal processing, C.T. Leondes, Academic Press, 1994, pp. 1-92.

17.
F. Bonnardot, R. Boustany, A. Ibrahim, K. Sabri, J. Antoni, and M. El Badaoui, "Don't ignore nonstationarity: use it to advantage," presented at International Conference on Noise and Vibration Engineering, Leuven, Belgium, Sep. 18, 2006.

18.
P.D. McFadden, "A Revised Model for the Extraction of Periodic Waveforms by Time Domain Averaging," Mechanical Systems and Signal Processing, vol. 1, no. 1, pp. 83-95, Jan. 1987. crossref(new window)

19.
E. Bechhoefer, M. Kingsley, "A Review of Time Synchronous Average Algorithms," in Proc. Annual Conference of the Prognostics and Health Management Society, 2009.

20.
A. Ibrahim, M. Elbadaoui, F. Guillet, W. Youssef, "Electrical signals analysis of an asynchronous motor for bearing fault detection," in Proc. IECON, 2006, pp. 4975-4980.

21.
N. Ngote, S. Guedira, M. Ouassaid, M. Cherkaoui, M. Maaroufi, "On the Monitoring of Rotor Fault in Induction Machine by the use of the TSA Method Applied to Stator Current," International Review of Electrical Engineering, vol.7, no. 4, pp. 4822-4828, Aug. 2012.

22.
W.T. Thomson, M. Fenger, "Case Histories of Current Signatura Analysis to Detect Faults in Induction Motor Drives," in Proc. IEMDC'03, 2003, pp. 1459-1465.

23.
N. Mehala, R. Dahiya, "Condition monitoring methods, failure identification and analysis for Induction machines," International Journal of Circuits, Systems and Signal Processing, vol. 3, no. 1, pp. 10-17, 2009.

24.
A. Bellini, F. Filippetti, G. Frabceschini, C. Tassoni, and G.B. Kliman, "Quantitative Evaluation of Induction Motor Broken Bars by Means of Electrical Signature Analysis," IEEE Transactions on Industry Applications, vol. 37, no. 5, pp. 1248-1255, Sep.-Oct. 2001. crossref(new window)

25.
R. R. Schoen, T. G. Habetler, "Effects of timevarying loads on rotor fault detection in induction machines," IEEE Transactions on Industry Applications, vol. 31, no. 4, pp. 900-906, Jul.-Aug. 1995. crossref(new window)

26.
L. Serrano Iribarnegaray, "The Modern Space Vector Theory, Part I: Its Coherent Formulation and Its Advantages for Transient Analysis of Converter-Fed AC Machines," European Transactions on Electrical Power, vol. 3, no. 2, pp. 171-180, Mar.-Apr. 1993.

27.
F. J. Villalobos-Pina, R. Alvarez-Salas, N. Visairo, V. Cardenas, "A New Induction Motor Model for Fault Analysis," International Review on Modeling and Simulations, vol. 4, no. 5, pp. 2145-2152, Oct. 2011.

28.
R. Fiser, S. Ferkolj, "Modelling of dynamic performance of induction machine with rotor faults," in Proc. ICEM'96, 1996, pp. 17-22.

29.
M. Blodt, M. Chabert, J. Faucher, B. Dagues, "Mechanical load fault detection in induction motors by stator current time-frequency analysis", in Proc. IEMDC'05, 2005, pp. 1881-1888.