There is an increasing demand for dynamic systems to become safer and more reliable This requirement extends beyond the normally accepted safety-critical systems such as nuclear reactors and aircraft, where safety is of paramount importance, to systems such as autonomous vehicles and process control systems where the system availability is vital It is clear that fault diagnosis is becoming an important subject in modern control theory and practice Robust Model-Based Fault Diagnosis for Dynamic Systems presents the subject of model-based fault diagnosis in a unified framework It contains many important topics and methods; however, total coverage and completeness is not the primary concern The book focuses on fundamental issues such as basic definitions, residual generation methods and the importance of robustness in model-based fault diagnosis approaches In this book, fault diagnosis concepts and methods are illustrated by either simple academic examples or practical applications The first two chapters are of tutorial value and provide a starting point for newcomers to this field The rest of the book presents the state of the art in model-based fault diagnosis by discussing many important robust approaches and their applications This will certainly appeal to experts in this field Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research The book is useful for both researchers in academia and professional engineers in industry because both theory and applications are discussed Although this is a research monograph, it will be an important text for postgraduate research students world-wide The largest market, however, will be academics, libraries and practicing engineers and scientists throughout the world

Robust Model-Based Fault Diagnosis for Dynamic Systems

On robust estimation of the location parameter

The Theory of Matrices. By F R. Gantmacher. Two volumes, pp. 374 and 276. 1959. (Translated from the Russian by K. A. Hirsch; Chelsea Publishing Company, New York)

https://users.encs.concordia.ca/~ymzhang/publications/ARC32-2-98Zhang_pp.229-252.pdf

Bibliographical review on reconfigurable fault-tolerant control systems

With the continuous increase in complexity and expense of industrial systems, there is less tolerance for performance degradation, productivity decrease, and safety hazards, which greatly necessitates to detect and identify any kinds of potential abnormalities and faults as early as possible and implement real-time fault-tolerant operation for minimizing performance degradation and avoiding dangerous situations. During the last four decades, fruitful results have been reported about fault diagnosis and fault-tolerant control methods and their applications in a variety of engineering systems. The three-part survey paper aims to give a comprehensive review of real-time fault diagnosis and fault-tolerant control, with particular attention on the results reported in the last decade. In this paper, fault diagnosis approaches and their applications are comprehensively reviewed from model- and signal-based perspectives, respectively.

/pdf/a-survey-of-fault-diagnosis-and-fault-tolerant-techniques-9uuf1uqysf.pdf

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

Dans ce papier nous presentons une approche basee sur l'analyse en composantes principales non lineaire (ACPNL) pour la detection et la localisation de defauts multiples. Le modele ACPNL est obtenu en combinant l'algorithme des courbes principales et deux reseaux RBF (Radial Basis Function) a trois couches en cascade. L'approche de reconstruction de plusieurs variables a la fois est proposee dans le cas non lineaire et appliquee avec succes a la detection et localisation de defauts multiples d'un reseau de surveillance de la qualite de l'air. L'approche proposee permet de reduire considerablement le nombre de residus utilises pour la localisation et permet egalement de proposer des valeurs de remplacement simultanees pour les differentes mesures en defaut.

Détection et localisation de défauts multiples par analyse en composantes principales non linéaire. Application à un réseau de surveillance de la qualité de l'air

Estimation of measurement error variances from n-linear process data

The proposed work addresses the model reference tracking control problem. It aims to highlight the encoutered difficulties and the proposed solutions to achieve the tracking objective for nonlinear systems described by Takagi-Sugeno (T-S) models. Different control strategies are exposed. Exact state tracking is proposed and structural conditions for it are given. Approximate state tracking is also studied. The choice of the reference model to be tracked is discussed, as well as the criterion to be minimized to achieve given tracking objectives.

/pdf/state-tracking-control-for-takagi-sugeno-models-fek8yqbaki.pdf

State tracking control for Takagi-Sugeno models

L'Analyse en Composantes Principales (ACP) est une methode reputee efficace pour la compression d'information. Cette communication presente l'utilisation de l'ACP pour la detection et la localisation de defauts multiples de mesures a partir d'un principe de reconstruction de variables et d'analyse des projections de ces reconstructions dans l'espace dit residuel.

https://hal.inria.fr/inria-00386651/document

Détection et localisation de défauts multiples par analyse en composantes principales

Publisher Summary This chapter discusses that for plant control improvement, coherency of information supplied by instrument lines and sensors must be ensured. Due to the presence of random and possibly gross errors, the model equations of the process are not generally satisfied. The problem of how to reconcile the measurements if it satisfies the model constraints and how to use the reconciled values to detect faulty measurements are explained in this chapter. The various aspects of data reconciliation with double aim of presenting the state of the art and bringing out the major difficulties encountered in the field using different steps of methodology are presented in the following order: data reconciliation techniques, gross errors detection, and gross errors localization.

José Ragot

Papers

Détection et localisation de défauts multiples par analyse en composantes principales non linéaire. Application à un réseau de surveillance de la qualité de l'air

Estimation of measurement error variances from n-linear process data

State tracking control for Takagi-Sugeno models

Détection et localisation de défauts multiples par analyse en composantes principales

Process flow rates reconciliation and data analysis