On-line operational support system for faults diagnosis in process plants

Computers and Chemical Engineering

Volumn 22, Issue SUPPL.1, 1998, Pages

  Chen, B H ^a   Wang, X Z ^a   McGreavy, C ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Fault diagnosis; Neural networks; Operational support system; Wavelets

Indexed keywords

EID: 0000915135     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0098-1354(98)00193-8     Document Type: Article

References (8)

1. Daubechies, I., 1992, Ten lectures on wavelets. Society of Industrial and Applied mathematics, Philadelphia, Pennsylvania.
2. Mallat S., 1991, Zero-crossing of a wavelet transform. IEEE Trans on Information Theory 37(4), 1019-1033.
3. Mallat S. and S. Zhong, 1991, Characterization of signals from multiscale edges. IEEE Trans. Pattern Analysis and Machine Intelligence 14(7), 710-732.
4. Mallat, S. and W. L. Hwang, 1992, Singularity detection and processing with wavelet. IEEE Transactions on information Theory 38(2), 617-643.
5. Mohindra, S. and P. A. Clark, 1993, A distributed faultdiagnosis method based on digraph models - steady-state analysis. Computers Chem Engng 17(2), 193-209.
6. Wang, X. Z., B. H. Chen, M. L. Lu and C. McGreavy, 1997, Fuzzy rules generation from data for process operational decision supprot. Computers Chem Engng 21, s661-666.
7. Whiteley, J. R. and J. F. Davis, 1994, A similarity-based approach to interpretation of sensor data using Adaptive Resonance Theory. Computers & Chem Engng 18(7) 637-661.
8. Zoran Cvetkovic and Martin Vetterli, 1994, Wavelat extrema and zero-crossings representations: Properties and consistent reconstruction. Proceedings of ICASSP, Volume 3 117-120