Oil debris signal detection based on integral transform and empirical mode decomposition

World Academy of Science, Engineering and Technology

Volumn 76, Issue , 2011, Pages 190-194

  Li, Chuan ^a   Liang, Ming ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Detection; Empirical mode decomposition; Integral transform; Oil debris; Signal processing

Indexed keywords

BACKGROUND NOISE; BASELINE WANDER; DE-NOISING; DETECTABILITY; DETECTION; EMPIRICAL MODE DECOMPOSITION; EXPERIMENTAL SETUP; HIGH FIDELITY; HIGHER FREQUENCIES; INTEGRAL TRANSFORM; LARGE AMPLITUDE; MACHINE CONDITION MONITORING; NOISE COMPONENTS; OIL DEBRIS;

CONDITION MONITORING; DEBRIS; INTEGRAL EQUATIONS; SIGNAL PROCESSING;

SIGNAL DETECTION;

EID: 79955714700     PISSN: 2010376X     EISSN: 20103778     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. S. Greenfield, "Oil debris monitoring for the Eurofighter 2000 aircraft, " Proceedings of Condition Monitoring 2001 Conference, Oxford, England, pp. 254-266, Jun. 2001.
2. J. L. Miller and D. Kitaljevich, "In-line oil debris monitor for aircraft engine condition assessment, " 2000 IEEE Aerospace Conference Proceedings, vol. 6, pp. 49-56, Mar. 2000.
3. X. Fan, M. Liang and T. Yeap, "A joint time-invariant wavelet transform and kurtosis approach to the improvement of in-line oil debris sensor capability, " Smart Materials & Structures, vol. 18, no. 8, pp. 085010, Aug. 2009.
4. H. B. Hong and M. Liang, "A fractional calculus technique for on-line detection of oil debris, " Measurement Science & Technology, vol. 19, no. 5, pp. 055703, May 2008.
5. I. S. Bozchalooi and M. Liang, "In-line identification of oil debris signals: an adaptive subband filtering approach, " Measurement Science & Technology, vol. 21, no. 1, pp. 015104, Jan. 2010.
6. I. S. Bozchalooi and M. Liang, "Oil debris signal analysis based on empirical mode decomposition for machinery condition monitoring, " Proceedings of American Control Conference 2009, vol. 1-9, pp. 4310-4315, Jun. 2009.
7. R. W. Kempster and D. B. George, "Method and apparatus for detecting particles in a fluid having coils isolated from external vibrations, " U.S. patent No. 5,444,367, 1995
8. N. E. Huang, Z. Shen, S. R. Long, M. L. Wu, H. H. Shih, Q. Zheng, N. C. Yen, C. C. Tung and H. H. Liu, "The empirical mode decomposition and Hilbert spectrum for nonlinear and nonstationary time series analysis, " Proc. Roy. Soc. Lond. A, vol. 454, no. 1971, pp. 903-995, Mar. 1998.
9. Z. H. Wu, N. E. Huang, S. R. Long and C. K. Peng, "On the trend, detrending, and variability of nonlinear and nonstationary time series, " Proceedings of the National Academy of Sciences of the United States of America. vol. 104, no. 38, pp. 14889-14894, Sep. 2007.
10. C. S. Qu, T. Z. Lu and Y. Tan, "A modified empirical mode decomposition method with applications to signal de-noising, " Acta Automatica Sinica, vol. 36, no. 1, pp. 67-73, Jan. 2010.
11. B. N. Krupa, M. A. M. Ali and E. Zahedi, "The application of empirical mode decomposition for the enhancement of cardiotocograph signals, " Physiological Measurement, vol. 20, no. 8, pp. 729-743, Aug. 2009.
12. S. G. Mallat, "A wavelet tour of signal processing, " San Diego: Academic, 1998.