Time-frequency manifold for demodulation with application to gearbox fault detection

Proceedings of IEEE 2012 Prognostics and System Health Management Conference, PHM-2012

Volumn , Issue , 2012, Pages

  He, Qingbo ^a   Wang, Xiangxiang ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

demodulation; fault detection; gearbox; rotating machine; time frequency manifold

Indexed keywords

BACKGROUND NOISE; CORRELATION ANALYSIS; DEMODULATION METHOD; GEARBOX; HIGH RESOLUTION; LOCALIZED FAULT; MANIFOLD LEARNING; PERIODIC IMPULSE; RAW SIGNALS; ROTATING MACHINE; SIMULATION SIGNALS; TIME FREQUENCY; TIME-FREQUENCY DISTRIBUTIONS; TRANSIENT IMPULSE;

DEMODULATION; FAULT DETECTION; ROTATING MACHINERY; SYSTEMS ENGINEERING;

OPTICAL VARIABLES MEASUREMENT;

EID: 84866167331     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PHM.2012.6228867     Document Type: Conference Paper

References (9)

1. D. N. Brown, "Envelope analysis detects bearing faults before major damage occurs, " Pulp and Paper, vol. 63, pp. 113-117, 1989.
2. P. W. Tse, Y. H. Peng and R. Yam, "Wavelet analysis and envelope detection for rolling element bearing fault diagnosis - their effectiveness and flexibilities, " ASME J. Vib. Acoust., vol. 123, pp. 303-310, 2001.
3. Q. He, Y. Liu, and F. Kong, "Machine fault signature analysis by midpoint-based empirical mode decomposition ", Meas. Sci. Technol., vol. 22, 015702, 2011.
4. J. K. Hammond, P. R. White, "The analysis of non-stationary signals using time-frequency methods, " J. Sound Vib., vol. 190, pp. 419-447, 1996.
5. Q. He, Y. Liu, Q. Long, and J. Wang, "Time-frequency manifold as a signature for machine health diagnosis, " IEEE Trans. Instrum. Meas., In Press, doi: 10.1109/TIM.2012.2183402.
6. L. Cao, "Practical method for determining the minimum embedding dimension of a scalar time series, " Physica D, vol. 110, pp. 43-50, 1997.
7. S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding, " Science, vol. 290, pp. 2323-2326, 2000.
8. Z. Zhang and H. Zha, "Principal manifolds and nonlinear dimensionality reduction via tangent space alignment, " SIAM J. Sci. Comput., vol. 26, pp. 313-338, 2005.
9. M. Belkin, P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation, " Neural Computation, vol. 15, pp. 1373-1396, 2003.