Fault Diagnosis of On-Load Tap-Changer in Converter Transformer Based on Time-Frequency Vibration Analysis

IEEE Transactions on Industrial Electronics

Volumn 63, Issue 6, 2016, Pages 3815-3823

  Duan, Ruochen ^a   Wang, Fenghua ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Fault diagnosis; improved empirical mode decomposition (EMD) method; Lorentz information measure (LIM); on load tap changer (OLTC); vibration signals

Indexed keywords

FAILURE ANALYSIS; FREQUENCY DOMAIN ANALYSIS; POWER CONVERTERS; SIGNAL PROCESSING; VIBRATION ANALYSIS; VOLTAGE CONTROL; VOLTAGE REGULATORS;

CONVERTER TRANSFORMERS; DIAGNOSIS STRATEGIES; IMPROVED EMPIRICAL MODE DECOMPOSITIONS (EMD); LORENTZ INFORMATION MEASURES; ON-LOAD TAP CHANGERS; TIME FREQUENCY DOMAIN; VIBRATION CHARACTERISTICS; VIBRATION SIGNAL;

FAULT DETECTION;

EID: 84969766948     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2016.2524399     Document Type: Article

References (20)

1. P. J. Kang and D. Birtwhistle, "Condition monitoring of power transformer on-load tap-changers. Part1: Automatic condition diagnostic," Proc. Inst. Elect. Eng.-Gener., Transmiss. Distrib., vol. 148, no. 4, pp. 301-306, Jul. 2001.
2. J. J. Erbrink et al., "Diagnosis of onload tap changer contact degradation by dynamic resistance measurements," IEEE Trans. Power Del., vol. 25, no. 4, pp. 2121-2131, Oct. 2010.
3. P. J. Kang and D. Birtwhistle, "Condition monitoring of power transformer on-load tap-changers. Part2: Detection of ageing from vibration signatures," Proc. Inst. Elect. Eng.-Gener., Transmiss. Distrib., vol. 148, no. 4, pp. 307-311, Jul. 2001.
4. S. Yin, X. P. Zhu, O. Kaynak, "Improved PLS focused on key-performance-indicator-related fault diagnosis," IEEE Trans. Ind. Electron., vol. 62, no. 3, pp. 1651-1658, Mar. 2015.
5. S. Yin et al., "A review on basic data-driven approaches for industrial process monitoring," IEEE Trans. Ind. Electron., vol. 61, no. 11, pp. 6418-6428, Nov. 2014.
6. J. C. Olivares-Galvan et al., "Reduction of stray losses in flange-bolt regions of large power transformer tanks," IEEE Trans. Ind. Electron., vol. 61, no. 8, pp. 4455-4463, Aug. 2014.
7. W. H. Portilla et al., "Detection of transformer faults using frequencyresponse traces in the low-frequency bandwidth," IEEE Trans. Ind. Electron., vol. 61, no. 9, pp. 4971-4978, Sep. 2014.
8. P. S. Georgilakis and A. G. Kagiannas, "A novel validated solution for lightning and surge protection of distribution transformers," Int. J. Elect. Power Energy Syst., vol. 63, pp. 373-381, Dec. 2014.
9. C. Bengtsson, H. Kols, L. Martinsson, "Acoustic diagnosis of tap changers," CIGRE Session, Paris, France, 1996, pp. 12-101.
10. P. J. Kang and D. Birtwhistle, "Characterization of vibration signals using continouous wavelet transform for condition assessment of on-load tapchangers," Mech. Syst. Signal Process., vol. 17, no. 3, pp. 561-577, 2003.
11. P. J. Kang and D. Birtwhistle, "Condition assessment of power transformer onload tap changers using wavelet analysis and self-organizing map: Field evaluation," IEEE Trans. Power Del., vol. 18, no. 1, pp. 78-84, Jan. 2003.
12. E. Rivas, J. C. Burgos, J. C. G. Prada, "Condition assessment of power OLTC by vibration analysis using wavelet transform," IEEE Trans. Power Del., vol. 24, no. 2, pp. 687-694, Apr. 2009.
13. E. Rivas, J. C. Burgos, J. C. G. Prada, "Vibration analysis using envelope wavelet for detecting faults in the OLTC tap selector," IEEE Trans. Power Del., vol. 25, no. 3, pp. 1629-1636, Jul. 2010.
14. E. F. Simas, L. A. L. de Almeida, A. C. de C. Lima, "Vibration monitoring of on-load tap changers using a genetic algorithm," in Proc. Instrum. Meas. Technol. Conf., May 2005, pp. 2088-2093.
15. M. H. Lee et al., "Hardware implementation of EMD Using DSP and FPGA for online signal processing," IEEE Trans. Ind. Electron., vol. 58, no. 6, pp. 2473-2481, Jun. 2011.
16. H. David, R. Y. Li, J. D. Zhu, "Plastic bearing fault diagnosis based on a two-step data mining approach," IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3429-3440, Aug. 2013.
17. G. Georgoulas et al., "Automatic pattern identification based on the complex empirical mode decomposition of the startup current for the diagnosis of rotor asymmetries in asynchronous machines," IEEE Trans. Ind. Electron., vol. 61, no. 9, pp. 4937-4946, Sep. 2014.
18. Z. Wu and N. E. Huang, "Ensemble empirical mode decomposition: A noise-assisted data analysis method," Adv. Adapt. Data Anal., vol. 1, pp. 1-41, 2009.
19. Q. Y. He, "Ambient exciting modal parameter identification based on modern time-frequency analysis," Ph.D. dissertation, Dept. Elect. Eng., Chongqing Univ., Chongqing, China, 2009.
20. N. E. Huang et al., "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis," Proc. R. Soc. Lond. A, vol. 454, pp. 903-995, 1998.