This paper focuses on the development of a suitable Fault Detection and Isolation (FDI) strategy for application to a system of inter-connected and distributed systems, as a basis for a fault-tolerant Network Control System (NCS) problem. The work follows a recent study showing that a hierarchical decentralized control system architecture may be suitable for fault-tolerant control (FTC) of a ne...

The paper deals with the problems of robust fault detection using soft computing techniques, in particular neural networks (Group Method of Data Handling, GMDH), multi-layer perceptron), and neuro-fuzzy networks (Takagi-Sugeno model). The model based approach to Fault Detection and Isolation (FDI) is considered. The main objective is to show how to employ the bounded-error approach to determine...

This paper proposes a novel scheme for the generation of primary residual vector (PRV) for sensor or actuator fault detection and isolation (FDI) in multivariate dynamic systems. The PRV, which is used for fault detection purpose, is designed to be insensitive to process uncertainties, including model–plant mismatch (MPM) and process disturbances. To generate the PRV, we do not need a precise s...

This paper briefly reviews the state of the art in Fault Detection and Isolation (FDI), and describes a test-case for in-flight fault diagnosis. The main concepts are recalled, the links between the approaches are indicated and the most promising methods are highlighted. The nonlinear models of the system, its sensors and actuators are described in the second part of the article, along with fau...

Renewable energy sources are gaining high prominence in today’s world. However, these sources do not supply energy throughout the year and hence efficiency is required when extracting energy from them. Wind energy is a recently developing area of common interest. Efficiency of a wind turbine is however, very low. Hence, detection of fault in the system becomes very essential so as to increase t...

This paper is aimed at exploiting Fault Detection and Isolation (FDI) techniques widely known in automatic control for solving online test problem in embedded Integrated Circuits (ICs). Before reaching this aim, we will briefly review the field of microelectronics testing, introducing basic concepts and techniques. We will next introduce FDI model-based approaches and their application for onli...

In this work, different procedures for sensor Fault Detection and Isolation (FDI) applied to a simulated model of a commercial aircraft are presented. The main point of the paper regards the design of two FDI schemes based on a linear Polynomial Method (PM) and the NonLinear Geometric Approach (NLGA). The obtained results highlight a good trade–off between solution complexity and achieved perfo...

Disturbances and model uncertainties often have large impact on model based fault detection and isolation (FDI) processes and result in false alarm or reduced fault detection rate. In rotor systems exited by unbalances, the predominant disturbances (e.g. unbalance forces) and model uncertainties caused by gyroscopic effect appear in a sinusoidal form with rotor rotary frequency. If the influenc...

Unmanned Aerial Vehicles (UAVs) have attracted significant attentions in recent years due to their potentials in various military and civilian applications. Small UAVs are often equipped with low-cost and lightweight micro-electro-mechanical systems (MEMS) inertial measurement units including 3-axis gyro, accelerometer and magnetometer. The measurements provided by gyros and accelerometers ofte...

In this paper a generic method for fault detection and isolation (FDI) in manufacturing systems considered as discrete event systems (DES) is presented. The method uses an identified model of the controlled process to be monitored which is built on the basis of observed fault free behavior. A special term of accuracy is motivated that helps to identify an efficient model. This paper gives an ov...