Continued technology scaling is resulting in systems with billions of devices. Consequently, these devices are are prone to failures from various sources resulting in a growing reliability threat. As this reliability problem is expected to affect the broad computing market, traditional solutions involving high redundancy, or piecemeal solutions targeting specific failure modes will no longer be...

Induction motors (IMs) are commonly used in various industrial applications. A spectrum synch (SS) technique is proposed in this chapter for early IM defect detection using electric current signals; fault detection in this work will focus on defects in rolling element bearings and rotor bars, which together account for more than half of IM imperfections. In bearing fault detection, the proposed...

Early detection and diagnosis of incipient faults is desirable for on-line condition assessment, product quality assurance, and improved operational efficiency of induction motors. At the same time, reducing the probability of false alarms increases the confidence of equipment owners in this new technology. In this paper, a model-based fault diagnosis system recently proposed by the authors for...

An approach for implementation of control system with anti-windup compensation using fault detection multifiltering is presented. The residual signal used for anti-windup compensation is obtained from a filter bank (i.e. multifiltering) for fault detection, thus it is not necessary its explicit measurement. This residual signal is considered as a fault, in order to design the fault detection fi...

Because of the nonlinear characteristics of monitoring system in military barracks, the traditional KPCA method either have low sensitivity or unable to detect the fault quickly and accurately. In order to make use of higher-order statistics to get more useful information and meet the requirements of real-time fault diagnosis and sensitivity, a new method of fault detection and diagnosis is pro...

Accurate fault detection and diagnosis in turbine engines is key to effective maintenance and improved availability of systems dependent on these engines. In this paper, we present a novel method for accurate fault detection and diagnosis using Hidden Markov Models (HMMs). In particular, we focus on engine faults that are manifest in transient operating conditions such as engine startup and acc...

A fault diagnosis system based on pattern recognition techniques is developed for cage induction machine broken bar detection. The developed algorithm uses the stator current and, if available, motor speed as input data. Several features are extracted from the Frequency spectrum of the current signal derived using the Fast Fourier Transform. The relevance of the features for the purpose of faul...

This article presents a model-based fault diagnosis method to detect and isolate faults in the robot arm control system. The proposed algorithm is composed functionally of three main parts: parameter estimation, fault detection, and isolation. When a change in the system occurs, the errors between the system output and the estimated output cross a predetermined threshold, and once a fault in th...

—The increasing number of Electro within the network of a vehicle is increa complexity of these networks. Thus, fault sophisticated systems becomes more complex paper is to provide a technique to enable detection in a premium vehicle network or a which uses the Controller Area Network (C communication. The fault detection technique based on a sequential behaviour of the CAN n and by using signa...