Extraction of rotating machine sources for fault diagnostics using independent component analysis

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn 2, Issue , 2005, Pages 1507-1512

  Han, Sung Hwan ^a   Kim, Hyeon Ho ^b   Bae, Hyeon Deok ^a  

^a Chungbuk National University   (South Korea)

^b Korea Research Institute of Standards and Science   (South Korea)

Author keywords

Complexity; Fault diagnosis; Independent component analysis; Subband analysis; Vibration signal

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; INDEPENDENT COMPONENT ANALYSIS; ROTATING MACHINERY; SIGNAL INTERFERENCE; SPURIOUS SIGNAL NOISE;

FAULT DIAGNOSIS; FAULT DIAGNOSTICS; SUBBAND ANALYSIS; VIBRATION SIGNALS;

ELECTRIC FAULT LOCATION;

EID: 33847113856     PISSN: 10915281     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. D. Logan, J. Mathew, "Using the correlation dimension for vibration fault diagnosis of rolling element bearing-I. Basic concepts," Mechanical Systems and Signal Processing, vol. 10, pp. 241-250, 1996.
2. J. Shiroishi, Y. Li, S. Liang, T. Kurfess, S. Danyluk, "Bearing condition diagnosis via vibration and acoustic emission measurements," Mechanical Systems and Signal Processing, vol. 11, pp. 693-705, 1997.
3. A. K. Barros, T. Rutkowski, F. Itakura, N. Ohnishi, "Estimation of speech embedded in a reverbreant and noisy environment by independent component analysis and wavelets," IEEE Trans. Neural Networks, vol. 13, no. 4, pp. 888-893, July 2002.
4. W. A. Gardner, "Measuremetn of Spectral Correlation," IEEE Trans. On Acoustic, Speed, and Signal Processing, ASSP-34, pp. 1111-1123, 1986.
5. B. Paya, I. Esat, M. Badi, "Artificial neural network based fault diagnostics of rotating machinary using wavelet transforms as a preprocessor," Mechanical Systems and Signal Processing, vol. 11, pp. 751-765, 1997.
6. Y. Wu, R. Du, "Feature extraction and assement using wavelet packets for monitoring of maching processes," Mechanical Systems and Signal Processing, vol. 10, pp. 29-53, 1996.
7. J. Lin, L. Qu, "Feature Extraction Based on Morlet Wavelet and its Application for Mechanical Fault Diagnosis," Journal of Sound and Vibration, vol. 234, pp. 135-148, Oct. 2000.
8. Y. D. Chen, R. Du, "Fault Features of Large Rotating Machinery and Diagnosis Using Sensor Fusion," Journal of Sound and Vibration, vol. 188, pp. 227-242, Oct. 1995.
9. C. Wang, R. Gao, "A virtual instrumentation system for integrated bearing condition monitoring," IEEE Trans. Instrum. Meas., vol. 49, pp. 325-332, 2000.
10. C. Wang, R. Gao, "Wavelet transform with spectral post-processing for enhanced feature extraction," Proc. IEEE Instrumentation Measurement Technology Conf., vol. 1, pp. 315-320, 2002.
11. A. Malhi, R. Gao, "PCA-Based Feature Selection Scheme for Machine Defect Classification," IEEE Trans. Instrum. Meas., vol. 53, no. 6, pp. 1517-1525, Dec. 2004.
12. T. Hoya, A. K. Barros, T. Rutkowske, A. Cichocki, "Speech extraction based upon a combined subband independent component analysis and neural memory," Proc. ICA-2003, Nara, Japan, pp. 355-360, April 2003.
13. J. Karvanen, A. Cichocki "Measuring sparseness of noisy signals," Proc. ICA-2003, Nara, Japan, pp. 125-130, April 2003.
14. P. Comon, "Independent component analysis, a new concept?," Signal Processing, vol. 36, no. 3, pp. 287-314, 1994.
15. H. H. Kim, S. H. Han, H. D. Bae, "Separation of DOAS measurements data by independent component analysis," Key Engineering Materials, vols. 270-273, pp. 703-708, Aug. 2004.
16. A. Hyvärinen, J. Karhunen and E. Oja, Independent Component Analysis, JOHN WILEY & SONS, INC., 2001.
17. A. Hyvärinen, E. Bingham, "Fast and robust fixed-point algorithm for independent component analysi," IEEE Trans. On Neural Networks, vol. 10, no. 3, pp. 626-634, 1999.
18. T. A. Harris, Rolling Bearing Analysis, John Wiley and Sons, Inc, 2001.
19. T. Nishikawa, "Stable learning algorithm for blind separation of temporally correlated signals combining multistage ICA and linear prediction," Proc. ICA-2003, Nara, Japan, pp. 337-342, April 2003.
20. A. Ypma, A. Leshem, R. P. W. Duin, "Blind separation of rotating machine sources: bilinear forms and convolutive mixtures," Neurocomputing, vol. 49, pp. 349-368, Jan. 2002.
21. C. Févotte, C. Doncarli, "A unified presentation of blind separation methods for convolutive mixtures using block-diagonalization," Proc. ICA-2003, Nara, Japan, pp. 349-354, April 2003.