Non-stationary analysis and noise filtering using a technique extended from the original Prony method

Mechanical Systems and Signal Processing

Volumn 17, Issue 3, 2003, Pages 533-549

  Ribeiro, M P ^a   Ewins, D J ^b   Robb, D A ^b  

^a Exploitation Division   (Brazil)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FOURIER TRANSFORMS; MATHEMATICAL MODELS; SPURIOUS SIGNAL NOISE; TIME SERIES ANALYSIS;

NOISE FILTERING; NONSTATIONARY ANALYSIS; PRONY METHOD;

SIGNAL FILTERING AND PREDICTION;

EID: 0037404742     PISSN: 08883270     EISSN: None     Source Type: Journal    
DOI: 10.1006/mssp.2001.1399     Document Type: Article

References (21)

1. J. S. Bendat and A. G. Piersol 1986 Random Data, Analysis and Measurement Procedures, 2nd edn. New York: John Wiley & Sons.
2. W. Martin and P. Flandrin 1985 Signal Processing 8, 215-233. Detection of changes of signal structure by using the Wigner-Ville spectrum.
3. D. Gabor 1946 Journal of IEE 93, 429-457. Theory of communication.
4. J. Ville 1948 Cables et Transmission 2A, 61-74. Théorie et Applications de la Notion de Signal Analytique.
5. C. H. Page 1952 Journal of Applied Physics 23, 103-106. Instantaneous power spectra.
6. L. Cohen 1989 Proceedings of the IEEE 77, 941-981. Time-frequency distributions-a review.
7. P. Flandrin 1989 Traitement du Sinal 6, 89-101. Representation Temps-Fréquence de Sinaux Non-Stationnaires.
8. J. C. Moss and J. K. Hammond 1994 Mechanical Systems and Signal Processing 8, 243-258. A comparison between the modified spectrogram and the pseudo-Wigner-Ville distribution with and without modification.
9. D. E. Newland 1993 An Introduction to Random Vibrations, Spectral & Wavelet Analysis, 3rd edn. New York: Longman Scientific & Technical.
10. M. P. Ribeiro, J. Slama and M. Zindeluk December 1991 XI Congresso Brasileiro de Engenharia Mecânica, São Paulo, SP, Brazil, 477-480. Performance evaluation of long distance placed equipment by vibration and signal processing analysis via Prony's method.
11. P. Flandrin and B. Escudié 1985 Traitement du Sinal 2. Principe et Mise en Oeuvre de L'Analyse Temps-Fréquence par Transformation de Wigner-Ville.
12. M. Chiollaz and B. Frave 1993 Mechanical Systems and Signal Processing 7, 375-400. Engine noise characterization with Wigner-Ville time-frequency analysis.
13. P. Flandrin 1987 D.Sc. thesis. CEPHAG, L'Institute National Polytechnique de Grenoble, Grenoble, France. Representations Temps-Frequence des Signaux Non-Stationaires.
14. Y. S. Shin and J. Jeon 1993 Shock and Vibration 1, 65-76, Pseudo Wigner-Ville time-frequency distribution and its applications to machinery condition monitoring.
15. S. L. Marple 1987 Digital Spectral Analysis with Applications. Engelwood Cliffs, NJ: Prentice-Hall.
16. S. W. Lang and J. H. McClellan 1980 IEEE Transactions on Acoustic, Speech, and Signal Processing 28, 716-724. Frequency estimation with maximum entropy spectral estimators.
17. M. P. Ribeiro 1999 Ph.D. thesis, Imperial College of Science, Technology and Medicine, London, U.K. Inaccessible equipment monitoring via vibratory signature analysis utilising data collected by remote accelerometers.
18. Least Squares Complex Exponential 1993 DT A Handbook, Item 34.8 (M, E, T), Version 1. Dynamics Section, Mechanical Engineering Department, Imperial College.
19. D. J. Ewins 1995 Modal Testing: Theory and Practice. New York: John Wiley & Sons.
20. K. Liu 1996 Journal of Sound and Vibration 197, 387-402. Modal parameter estimation using the state space method.
21. J. Mars, N. Martin, J. L. Lacoume and M. Dubesset 1992 Signal Processing 26, 147-159. Analysis of signals over short time-windows.