This paper proposes a fault diagnosis methodology for a gear pump based on the ensemble empirical mode decomposition (EEMD) method and the Bayesian network. Essentially, the presented scheme is a multi-source information fusion based methodology. Compared with the conventional fault diagnosis with only EEMD, the proposed method is able to take advantage of all useful information besides sensor ...

Wireless sensor networks (WSNs) have wide variety of applications and provide limitless future potentials. Nodes in WSNs are prone to be failure due to energy depletion, hardware failure, communication link errors, malicious attack, and so on. Therefore, fault tolerance is one of the critical issues in WSNs. The chapter investigates current research work on fault tolerance in WSNs. We study how...

As more engineering operations become automatic, the need for robustness towards faults increases. Hence, a fault tolerant control (FTC) scheme is a valuable asset. This paper presents a robust sensor fault FTC scheme implemented on a flexible arm manipulator, which has many applications in automation. Sensor faults affect the system's performance in the closed loop when the faulty sensor readi...

The goal of this chapter is to review recent developments on sensor placement for fault diagnosis in drinking water networks. Solving a sensor placement problem for fault diagnosis entails the evaluation of the diagnosis performance of a monitoring system for a certain sensor configuration. In model-based fault diagnosis the monitoring system is built upon a set of consistency indicators, which...

The paper describes a sensor optimisation systematic framework approach and a Fault Tolerant control scheme for sensor failures applied to an EMS maglev system. The aim is to find the minimum number of sensors that can be used in order to optimise the performance, reduce complexity and offer sensor fault tolerance. The concept is verified via simulations with the non-linear model of an EMS system.

this paper addresses the design of an observer-based fault diagnosis scheme, which is applied to some of the sensors and actuators of a wind turbine benchmark model. the methodology is based on a modified sliding mode observer (smo) that allows accurate reconstruction of multiple sensor or actuator faults occurring simultaneously. the faults are reconstructed using the equivalent output error i...

Sensor fault diagnosis is necessary to ensure the normal operation of a gas turbine system. However, the existing methods require too many resources and this need can't be satisfied in some occasions. Since the sensor readings are directly affected by sensor state, sensor fault diagnosis can be performed by extracting features of the measured signals. This paper proposes a novel fault diagnosis...

This paper addresses the problems of robust fault estimation and fault-tolerant control for Takagi–Sugeno (T–S) fuzzy systems with time delays and unknown sensor faults. A fuzzy augmented state and fault observer is designed to achieve the system state and sensor fault estimates simultaneously. Furthermore, based on the information of on-line fault estimates, an observer-based dynamic output fe...

Position sensor is the key of exact commutation for switched reluctance motor (SRM). When position sensor is faulted, some phase information of commutation will be lost, causes torque decrease, affects the system reliability. Through the analysis of the fault position signals, a real-time diagnostic method that detected the edge sequences of position signals and calculated the angle between the...

This paper presents the design of Coactive Adaptive Neuro-Fuzzy Observer based sensor fault detection and fault tolerant control under sensor failure conditions for a three-tank interacting level process. Fault detection is performed by estimating the states of the level process and comparing them with measured values. A fault is signaled when the difference between the estimated and measured v...