This survey of model-based fault diagnosis focuses on those methods that are applicable to
aerospace systems. To highlight the characteristics of aerospace models, generic non-linear …

The robustness issues in model-based fault detection and fault isolation (fault diagnosis)
have received considerable attention in recent years, due to the increasing demand for safe …

There is an increasing demand for dynamic systems to become more safe and reliable. This
requirement extends beyond the normally accepted safety-critical systems of nuclear …

MODEL-BASED FAULT DIAGNOSIS TECHNIQUES Page 1 CHAPTER2 MODEL-BASED FAULT
DIAGNOSIS TECHNIQUES 2.1 Introduction The model-based approach to fault detection in …

This paper considers H−∕ H∞ fault detection observer design in the finite frequency
domain for a class of linear parameter-varying (LPV) descriptor systems. We propose a …

This paper describes a method for designing sliding mode observers for detection and
reconstruction of actuator and sensor faults, that is robust against system uncertainty. The …

Using the newly developed worst-case fault sensitivity measure, the H-index, and the well-
known worst-case robustness measure, the H∞ norm, this paper addresses the problem of …

This paper presents an observer-based fault reconstruction method for PEM fuel cells. This
method extends the results of a class of nonlinear uncertain systems with Lipschitz …

This paper systematically studies the minimum input sensitivity analysis problem. The lowest
level of sensitivity of system outputs to system inputs is defined as an H-index. A full …

This paper studies the problem of designing a robust fault-detection system for uncertain
Takagi-Sugeno fuzzy models. The worst case fault sensitivity measure is formulated in terms …