This paper presents a range of optimization based approaches to fault diagnosis. A variety of fault diagnosis problems are reformulated in the so-called standard problem setup introduced in the literature on robust control. Once the standard problem formulations are given, the fault diagnosis problems can be solved by standard optimization techniques. The proposed methods include: (1) fault dia...

A Kalman filter-based approach for integrated on-line aircraft engine performance estimation and gas path fault diagnostics is presented. This technique is specifically designed for underdetermined estimation problems where there are more unknown system parameters representing deterioration and faults than available sensor measurements. A previously developed methodology is applied to optimally...

We propose explicit state-space based fault detection, isolation and estimation filters that are data-driven and are directly identified from only the system input-output (I/O) measurements and through the system Markov parameters. The proposed procedures do not involve a reduction step and do not require identification of the system extended observability matrix or its left null space. The per...

Faults in rolling element bearing are among the main causes of breakdown in rotating machines. Vibration is an effective technique for machine condition monitoring. Vibration signals from a defective bearing with a localized fault contain a series of impulsive responses, which result from the impacts of the defective part(s) with other elements. Most researches carried out have focused on fault...

Abstract: This paper adresses the problem of fault estimation for continuous-time TakagiSugeno (T-S) fuzzy systems with interval time varying delay. The approach is based on a fuzzy Adaptive Fault Diagnostic Observer (AFDO). By considering an appropriate Lyapunov function, less conservative linear-matrix-inequality (LMI) conditions for the existence of the fault estimator are proposed. Furtherm...

In this paper, a new very fast fault simulation method to handle the X-fault model is proposed. The method is based on a two-phase procedure. In the first phase, a parallel exact critical path fault tracing is used to determine all the detected stuck-at faults in the circuit, and in the second phase a postprocess is launched which will determine the detectability of X-faults. Keywords-digital c...

This paper studies recursive optimal filtering as well as robust fault and state estimation for linear stochastic systems with unknown disturbances. It proposes a new recursive optimal filter structure with transformation of the original system. This transformation is based on the singular value decomposition of the direct feedthrough matrix distribution of the fault which is assumed to be of a...

Power System Fault Analysis Based on Intelligent Techniques and Intelligent Electronic Device Data. (May 2007) Xu Luo, B.S., Xi’an Jiaotong University; M.S., Xi’an Jiaotong University Chair of Advisory Committee: Dr. Mladen Kezunovic This dissertation has focused on automated power system fault analysis. New contributions to fault section estimation, protection system performance evaluation and...

This paper is concerned with the finite-horizon H∞ fault estimation problem for a class of nonlinear stochastic time-varying systems with both randomly occurring faults and fading channels. The system model (dynamical plant) is subject to Lipschitz-like nonlinearities and the faults occur in a random way governed by a set of Bernoulli distributed white sequences. The system measurements are tra...