The paper is devoted to the problem of designing robust unknown input observer (UIO) for fault estimation purpose. The proposed approach is based on the Takagi-Sugeno models which can be effectively applied for modelling of the wide class of nonlinear systems. It also revisits the recent results proposed in the literature and provides a less restrictive design procedure of a robust UIO. In part...

This paper presents a data-driven receding horizon fault estimation method for additive actuator and sensor faults in unknown linear time-invariant systems, with enhanced robustness to stochastic identification errors. State-of-the-art methods construct fault estimators with identified state-space models or Markov parameters, but they do not compensate for identification errors. Motivated by th...

This article studies the distributed fault estimation (DFE) and fault-tolerant control for continuous-time interconnected systems. Using associated information among subsystems to design DFE observer can improve accuracy of Based on static output feedback (SOF), global outputs systems are used construct a (DFTC). The multiconstrained methods proposed enhance transient performance ability suppre...

the investigation of this paper focuses on eastern part of shahroud fault system in middle-east alborz. this fault system is an important part in the seismotectonic map of the area. we used two local temporary dense seismological networks data installed around the fault system for several months during 2007 and 2008 and simultaneously micro-earthquakes data recorded by the permanent seismologic...

The increased accuracy of the faults’ location is a very actual request of the power grids’ operation and management, reason to develop new and as precise as possible techniques for the estimation of the shortcircuits’ location. The actual fault locating techniques use algorithms based on power frequency quantities or on traveling waves principles, both categories of such fault locators being d...

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...