This paper discuss about fault diagnosis (FD) techniques for dynamic systems. Case Based Reasoning (knowledge-based technique) has been applied in the Electrical Systems domain in order to diagnose the origin of voltage faults. In other hand, residual generation (analytical model-based technique) was accomplished using Dynamic Time Warping and a laboratory plant has been used to test this appro...

Five-phase permanent magnet synchronous motors (PMSMs) have inherent fault-tolerant capabilities. This paper analyzes the detection of inter-turn short circuit faults in five-phase PMSMs in their early stage, i.e. with only one turn in short circuit by means of the analysis of the stator currents and the zero-sequence voltage component (ZSVC) spectra. For this purpose, a parametric model of fiv...

This paper presents a fault identification, classification and fault location estimation method based on Discrete Wavelet Transform and Adaptive Network Fuzzy Inference System (ANFIS) for medium voltage cable in the distribution system. Different faults and locations are simulated by ATP/EMTP, and then certain selected features of the wavelet transformed signals are used as an input for a train...

Fault detection in memories is an approach to practice fault analysis at the Transistor level of memory circuits by means of a specially designed fault injection block. This paper Proposed inject the single stuck-at fault at the nodes and observe the logic simulation of the block . This work introduces fault analysis capabilities to improve the skills in the field of memory testing. Test and di...

The increasing complexity of processors allied to the continuous technology shrink is making multicore-based systems more susceptible to soft errors. The high cost and time inherent to hardware-based fault injection approaches make the more efficient simulation-based fault injection frameworks crucial to test reliability. This paper proposes a fast, flexible fault injector framework which suppo...

In a distributed Electrical Power System Faults are the major problem for regular supply to the consumers. A low impedance fault in electrical power distribution system is distinguished by a non-linear and unstable varying fault current due to type of fault. In this combined approach of Wavelet and Artificial Neural Network is used for identification and classification of all types of faults in...

It is well known that some XML elements correspond to objects (in the sense of object-orientation) and others do not. The question we consider in this paper is what benefits we can derive from paying attention to such object semantics, particularly for the problem of keyword queries. Keyword queries against XML data have been studied extensively in recent years, with several lowest-common-ances...

In this paper we describe a holistic approach for Fault-Tolerant Network-on-Chip (NoC) based many-core systems that incorporates a System Health Monitoring Unit (SHMU) which collects all the fault information from the system, classifies them and provides different solutions for different fault classes. A Mapper/Scheduler Unit (MSU) is used for online generation of different mapping and scheduli...

This paper presents a multi-objective wavelet identification procedure for fault detection in dynamic systems. For this purpose, a multi-objective genetic algorithm is used to search for the Pareto frontier. Two objectives are taken into account, the minimization of the residual signal in nominal operating conditions and its maximization in faulty operating conditions. Thus, the proposed approa...

In this paper, the problem of fault diagnosis in multiprocessor systems is considered under a probabilistic fault model. This work focuses on minimizing the number of tests that must be conducted in order to correctly diagnose the state of every processor in the system with high probability. A diagnosis algorithm that can correctly diagnose the state of every processor with probability approach...