Fault Detection and Diagnosis for a Three-tank system using Structured Residual Approach

  A.Asokan¹  D.Sivakumar¹

¹Department of Instrumentation Engineering, Faculty of Engineering & Technology, Annamalai University, Annamalai Nagar-608 002, Tamilnadu, India

Abstract

Fault detection and isolation (FDI) is a task to deduce from observed variable of the system if any component is faulty, to locate the faulty components and also to estimate the fault magnitude present in the system. This paper provides a systematic method of fault diagnosis to detect leak in the three-tank process. The proposed scheme makes use of structured residual approach for detection, isolation and estimation of faults acting on the process [1,2,3]. This technique includes residual generation and residual evaluation. A literature review showed that the conventional fault diagnosis methods like the ordinary Chi-square (Ψ2) test method, generalized likelihood ratio test have limitations such as the “false alarm” problem. From the results it is inferred that the proposed FDI scheme diagnoses better when compared to other conventional methods.

 Keywords: Fault detection and Diagnosis, Residual Generation, Structured Residual Approach

(P1110729003, 589 KB) 

Biographies:

A. Asokan obtained his   B.E degree in Instrumentation      and      control    Engineering in the  year    1997  and   received  M.E. degree   in    Process   Control and Instrumentation  Engineering in 2001from the Annamalai university, Chidambaram. Presently he is working as a Lecturer of the Department of Instrumentation Engineering in Annamalai University. His areas of research are Process Control, Fault Detection and Diagnosis and Multivariable Control

Dr. D. Sivakumar obtained his B.E degree in Electronics and Instrumentation Engineering in the year 1984 and further the M.E. degree in Power Systems in the year 1990 from the Annamalai University, Chidambaram. Presently he is working as a Professor in the Department of Instrumentation Engineering in Annamalai University. He is presently guiding many Ph.D research scholars in areas like Fault Detection and Diagnosis, Neural Networks and Fuzzy Logic applied to Process Control, Signal and Image Processing.

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