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Reconstruction based fault prognosis for continuous processes
- Source :
-
Control Engineering Practice . Oct2010, Vol. 18 Issue 10, p1211-1219. 9p. - Publication Year :
- 2010
-
Abstract
- Abstract: In this paper, a multivariate fault prognosis approach for continuous processes with hidden faults is proposed based on statistical process monitoring methods and multivariate time series prediction. It is assumed that the fault is a slowly time-varying autocorrelated process and can be completely reconstructed. Fault magnitude is estimated first via reconstruction, then predicted by a vector AR model with wavelet based denoising. Given the fault direction, a new index is proposed to detect the fault, which integrates fault detection and prognosis together. Case studies on a continuous stirred tank reactor and the Tennessee Eastman process demonstrate the effectiveness of the proposed approaches. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 09670661
- Volume :
- 18
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Control Engineering Practice
- Publication Type :
- Academic Journal
- Accession number :
- 53571992
- Full Text :
- https://doi.org/10.1016/j.conengprac.2010.05.012