摘要:

The design of a fault detection and isolation (FDI) system for linear time-invariant processes subject to additive failures is considered. The paper first concentrates on the problem of residual generation. The redundancy relations are obtained by minimizing a quadratic cost function under non-convex quadratic inequality constraints. The constraints express, in some way, the desired performance of the FDI system, both for detection and isolation purposes. Robustness of the FDI system with respect to uncertainties in the model parameters can be achieved by representing the process behaviour with a finite set of models. Next, an approach to the design of a decision logic suitable for the proposed residual generation scheme is described. Finally, the feasibility of the method is illustrated with a simulation study of a FDI system for the actuator failures of a fluid mixer.

ISSN:0020-7179    

DOI:10.1080/00207179608921860

出版商:Taylor & Francis Group    

年代:1996

数据来源: Taylor

摘要:

Fundamental analysis of information forgetting schemes in recursive identification shows that they can be classified into two basic approaches: relative and absolute forgetting. The augmented UD identification (AUDI) algorithm developed by the authors reveals that all the information pertinent to identification and information forgetting is contained in a single matrix called the augmented information matrix (AIM). The tracking ability of the recursive algorithms is determined by the relative weight that is put on to the new information contained in the regressor, compared with the information already contained in the AIM. This relative weight can be easily controlled by the simple diagonal loss function matrix produced by the AUDI method. This simplifies the interpretation of both new and existing information forgetting approaches and also provides helpful guidelines for design.

ISSN:0020-7179    

DOI:10.1080/00207179608921861

出版商:Taylor & Francis Group    

年代:1996

数据来源: Taylor