<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>This paper presents an adaptive Generalized Likelihood Ratio (GLR) test for multiple Faults Detection and Isolation (FDI) in stochastic linear dynamic systems. Based on the work of Willsky and Jones (1976), we propose a modified generalized likelihood ratio test, allowing detection, isolation and estimation of multiple sequential faults. Our contribution aims to maximise the good decision rate of fault detection using another updating strategy. This is based on a reference model updated on-line after each detection and isolation of one fault. To reduce the computational requirement, the passive GLR test will be derived from a state estimator designed on a fixed reference model directly sensitive to system changes. We will show that active and passive GLR tests will be mixed and give interesting results compared with the GLR of Willsky and Jones (1976), and that they can be easily integrated in a reconfigurable Fault-Tolerant Control System (FTCS) to asymptotically recover the nominal system performances of the jump-free system.</p></abstract>

This paper presents an adaptive Generalized Likelihood Ratio (GLR) test for multiple Faults Detection and Isolation (FDI) in stochastic linear dynamic systems. Based on the work of Willsky and Jones (1976), we propose a modified generalized likelihood ratio test, allowing detection, isolation and estimation of multiple sequential faults. Our contribution aims to maximise the good decision rate of fault detection using another updating strategy. This is based on a reference model updated on-line after each detection and isolation of one fault. To reduce the computational requirement, the passive GLR test will be derived from a state estimator designed on a fixed reference model directly sensitive to system changes. We will show that active and passive GLR tests will be mixed and give interesting results compared with the GLR of Willsky and Jones (1976), and that they can be easily integrated in a reconfigurable Fault-Tolerant Control System (FTCS) to asymptotically recover the nominal system performances of the jump-free system.

A mixed active and passive GLR test for a fault tolerant control system

Department of Industrial Engineering, National School of Applied Sciences Ibn Zohr University Agadir, BP 1136, 80000 Agadir, Morocco

Research Center for Automatic Control of Nancy, University of Lorraine, CRAN UMR 7039, BP 70239 Vandeouvre Les Nancy, France

International Journal of Applied Mathematics and Computer Science

{"article-title":"A mixed active and passive GLR test for a fault tolerant control system"}

This paper presents an adaptive Generalized Likelihood Ratio (GLR) test for multiple Faults Detection and Isolation (FDI) in stochastic linear dynamic systems....

A mixed active and passive GLR test for a fault tolerant control system

Publicado en línea: 22 mar 2012

Páginas: 9 - 23

DOI: https://doi.org/10.2478/v10006-012-0001-1

Palabras clave
generalized likelihood ratio, sequential jumps detection, two-stage Kalman filter, fault-tolerant control system

This content is open access.

A mixed active and passive GLR test for a fault tolerant control system

Publicado en línea: 22 mar 2012

Páginas: 9 - 23

DOI: https://doi.org/10.2478/v10006-012-0001-1

Palabras clavegeneralized likelihood ratio, sequential jumps detection, two-stage Kalman filter, fault-tolerant control system

This content is open access.

Palabras clave
generalized likelihood ratio, sequential jumps detection, two-stage Kalman filter, fault-tolerant control system