Continuous annealing process line (CAPL) has complex process characteristics, such as strong correlation of large number of process variables, and the coexistence of multi- subsystems and multioperation zones. Practitioners are concerned with process faults, such as strip-break fault and roll slippage fault, whose effects often confine in a specific zone. Considering the process characteristics and fault characteristics, a fault diagnosis method is proposed. Reconstruction-based variable contribution (RBVC) is extended to reconstruction-based block contribution (RBBC) for principal component analysis (PCA) method in order to find the faulty block, and RBVC is used to determine the faulty variable. Simulation results show the effectiveness of the proposed methods, and it is applied successfully to a practical CAPL. © 2011 IFAC.
|Number of pages||6|
|Journal||IFAC Proceedings Volumes|
|Publication status||Published - Aug 2011|
|Event||18th World Congress of the International Federation of Automatic Control (IFAC 2011) - , Italy|
Duration: 28 Aug 2011 → 2 Sept 2011
Bibliographical noteISBN: 9783902661937 <br/> This work was supported by the Key Project of Chinese National Programs for Fundamental Research and Development (2009CB320600), the 111 project of Ministry of Education of China (B08015), the Natural Science Foundation of China (60974091,61020106003), Program for New Century Excellent Talents in University (NCET-08-0105), and the Fundamental Research Funds for the Central Universities (N100508001).
- Continuous annealing processes
- Fault diagnosis
- Fault identification
- Principal component analysis
- Reconstruction-based block contribution