Classification and diagnosis of mechanical faults using the RBF network based on the local bispectra

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4493 LNCS, Issue PART 3, 2007, Pages 626-632

  Shuhua, Xu ^a   Benxiong, Huang ^a   Yuchun, Huang ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); FAILURE ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; VIBRATION ANALYSIS;

FAULT SIGNALS; MECHANICAL FAULTS; ROLLING BEARINGS;

FAULT DETECTION;

EID: 38049165469     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (11)

1. Sato T., K. Sasaki.: Bispectral Holography. Journal of A Coustical Society of America. 62 (1977) 404-408
2. Barker R.W., Klute G.A., HinichM J.: Monitoring Rotating Tool Wear Using High Order Spectral Features. Transactions of the ASME. J. Engineering for Industry. 115 (1993) 23-29
3. Murray A., Penman J.: Extracting Useful Higher Order Features for Condition Monitoring Using Artificial Neural Networks. IEEE Trans. on Signal Processing. 45 (1997) 2821-2828
4. McCormick A.C., Nandi A.K.: Bispectral and Trispectral Features for Machine Condition Diagnosis. IEE Proceedings -Vision, Image and Signal Processing 146 (1999) 229-234
5. B Eugene Parker Jr, Ware H A.: Fault Diagnostics Using Statistical Change Detection in the Bispectral Domain. Mechanical Systems and Signal Processing 14 (2000) 561-570
6. Chandran V., Elgar S.L.: Pattern Recognition Using Invariants Defined from Higher Order Spectra-One-Dimensional Inputs. IEEE Trans. on Signal Processing 41 (1993) 205-212
7. Tugnait J.K.: Detection of Non-Gaussian Signals Using Integrated Polyspectrum. IEEE Trans. on Signal Processing. 42 (1994) 3137-3149
8. Liao X.J., Bao Z.: Circularly Integrated Bispectra: Novel Shift Invariant Features for High Resolution Radar Target Recognition. Electronics Letters. 34 (1998) 1879-1880
9. Fackrell J.W.A.., White P.R., Hammond J K.(ed.): The Interpretation of the Bispectra of Vibration Signals I:Theory. Mechanical Systems and Signal Processing 9 (1995) 257-266
10. Fackrell J.W.A.., White P.R., Hammond J K.(ed.): The Interpretation of the Bispectra of Vibration Signals II: Experimental Results and Application. Mechanical Systems and Signal Processing 9 (1995) 257-266
11. Zhang, X, Shi, Y., Bao, Z.: A New Feature Vector Using Selected Bispectra for Signal Classification With Application in Radar Target Recognition. IEEE Trans. on Signal Processing 49 (2001) 1875-1885