Abrupt fault diagnosis of sensors based on wavelet and neural networks

Advances in Modelling and Analysis B

Volumn 47, Issue 3-4, 2004, Pages 71-84

  Li, Wenjun ^a   Li, Yuanchun ^a   Zhang, Hongkun ^a  

^a JILIN UNIVERSITY   (China)

Author keywords

Abrupt fault of sensors; Multidimensional wavelet network; Wavelet packet transform

Indexed keywords

BROADBAND NETWORKS; DATA REDUCTION; FUNCTIONS; NATURAL FREQUENCIES; NEURAL NETWORKS; SIGNAL PROCESSING; WAVELET TRANSFORMS;

ABRUPT FAULT OF SENSORS; MULTIDIMENSIONAL WAVELET NETWORKS; SENSOR SIGNALS; WAVELET PACKET TRANSFORMS;

SENSORS;

EID: 18444363077     PISSN: 12404543     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. M. Cannon, J.J.E. Slotine, "Space-frequency localized basis function networks for nonlinear system estimation and control," Neurocomputing, pp. 293 - 342, Sept 1999.
2. J. Chen, D.D. Bruns, "Wavelet neural network development for system identification using a systematic design synthesis," Ind. Eng. Chem. Res. 34, pp. 4420 - 4435, 1995.
3. S. Chen, C.F.N. Cowan, P.M. Grant, "Orthogonal least squares learning algorithm for radial basis function networks," IEEE Trans. Neural Networks, (2) pp. 302 - 309, 1991.
4. S.G.Mallat, "Matching pursuits with time-frequency dictionaries," IEEE Trans. Signal Process. 41(12) pp. 3397-3415, 1993.
5. F. P. Lees, "Some data on the failure modes of instruments in the chemical plant environment," Chem. Eng., vol. 277, pp. 418-421, 1973.
6. S.Chen,J.Wigger, "Fast orthogonal least squares algorithm for efficient subset model selection," IEEE Trans. Signal Process. 43 (7) pp.1713-1715, 1995.
7. S. N. Anyakora and F. P. Lees, "Detection of instrument malfunction by process operator," Chem. Eng., vol. 264, pp. 304-309, 1972.
8. S. G. Mallat, "A theory for multiresolution signal decomposition: The wavelet representation," IEEE Trans. Pattern Anal. Machine Intell., vol.11, pp. 674-693, July 1989.
9. M. V. Wickerhauser, "Adapted Wavelet Analysis from Theory to Soft-ware," Natick, MA: Wellesley, 1994.
10. E. Holbert, A. SharifHeger, and N. K. AlangRashid, "Redundant sensor validation by using fuzzy logic," Nucl. Sci. Eng., vol. 118, pp. 54-64, Sept. 1994.
11. Z. Q. Liu and F. Yan, "Fuzzy neural network in case-based diagnostic system," IEEE Trans. Fuzzy Syst., vol. 5, pp. 209-222, May 1997.
12. M. M. Polycarpou and A. T. Vemuri, "Learning methodology for failure detection and accommodation," IEEE Trans. Contr. Syst. Technol., vol. 15, pp. 16-24, June 1995.
13. R. Isermann, "Process fault detection based on modelling and estimation methods - A survey," Automatica, vol. 20, no. 2, pp. 387-404, 1984.
14. S. Mallat and W. L. Hwang, "Singularity detection and processing with wavelets," IEEE Trans. Inform Theory, vol. 38, pp. 681-695, Mar. 1992.
15. A. Sureshbabu, J.A. Farrell, "Wavelet-based system identification for nonlinear control," IEEE Trans. Autom Control 44 (2) pp. 412 - 417, 1999.
16. Kwok-Wo Wong, A. Chi-Sing Leung, "On-line successive synthesis of wavelet networks," Neural Process. Lett. 7 pp.91 - 100, 1998.
17. Jun Zhang, G.G. Walter, Wan Ngai Wayne Lee, "Wavelet neural networks for function learning," IEEE Trans. Signal Process. 43 (6) pp. 1485 - 1497, 1995.
18. Qinghua Zhang, "Using wavelet network in nonparametric estimation," IEEE Trans. Neural Networks. 8(2) pp. 227 - 236, 1997.