Fault Diagnosis of Continuous Annealing Processes Using Reconstruction-based Block Contribution

Abstract 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 multi-operation 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.

[1]  S. Joe Qin,et al.  Reconstruction-based Contribution for Process Monitoring , 2008 .

[2]  Michael J. Piovoso,et al.  On unifying multiblock analysis with application to decentralized process monitoring , 2001 .

[3]  John F. MacGregor,et al.  Multivariate SPC charts for monitoring batch processes , 1995 .

[4]  J. Ruiz C.,et al.  Estimating the strip tension in multi-drive systems , 1997, Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066).

[5]  S. Joe Qin,et al.  Reconstruction-Based Fault Identification Using a Combined Index , 2001 .

[6]  In-Beum Lee,et al.  Multiblock PLS-based localized process diagnosis , 2005 .

[7]  Chai Tianyou.  Modeling and Simulation for Strip Tension in Continuous Annealing Process , 2007 .

[8]  Sirish L. Shah,et al.  A Framework for Optimal Design of Alarm Systems , 2009 .

[9]  S.J. Qin,et al.  Multiblock principal component analysis based on a combined index for semiconductor fault detection and diagnosis , 2006, IEEE Transactions on Semiconductor Manufacturing.

[10]  Hong Zhou,et al.  Decentralized Fault Diagnosis of Large-Scale Processes Using Multiblock Kernel Partial Least Squares , 2010, IEEE Transactions on Industrial Informatics.

[11]  Seung-Ki Sul,et al.  A new tension controller for continuous strip processing line , 1998, Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242).

[12]  Qiang Liu,et al.  Modeling and gain scheduling adaptive control of tension control system for continuous annealing process , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[13]  N.A. Ebler,et al.  Tension control: dancer rolls or load cells , 1992, Conference Record on Pulp and Paper Industry Technical Conference.

[14]  William C. Messner,et al.  Controller development for a prototype high-speed low-tension tape transport , 1998, IEEE Trans. Control. Syst. Technol..

[15]  G. Box.  Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification , 1954 .

[16]  S. Joe Qin,et al.  Semiconductor manufacturing process control and monitoring: A fab-wide framework , 2006 .

[17]  Myrtille Vivien,et al.  A new linear method for analyzing four‐way multiblock tables: STATIS‐4 , 2008 .

[18]  Ku Chin Lin,et al.  Observer-based tension feedback control with friction and inertia compensation , 2003, IEEE Trans. Control. Syst. Technol..