In this paper, a fault diagnosis system based on discrete wavelet transform (DWT) and artificial neural networks (ANNs) is designed to diagnose different types of fault in gears and bearings. DWT is an advanced signal-processing technique for fault detection and identification. Five features of wavelet transform RMS, crest factor, kurtosis, standard deviation and skewness of discrete wavelet co...

 Abstract—According to the design procedure of fault selfdiagnosis system and features of automatic transmission system, the list of relation and mapping between fault symptoms and fault causes are made in this paper. Applying the approach of fault self-diagnosis based on fuzzy neural network, fault diagnosis of the automatic transmission electronic control system is realized. The structure of...

Based on Multi-Agent (MA) technology and Artificial Immune (AI) theory, a novel substation fault diagnosis approach is proposed in the paper. The method firstly considers substation fault diagnosis a global complicated problem in uncertainty environment, and decomposes it into several relatively-simple local sub-problems based on ontology concept. Then diagnosis agent is respectively designed f...

Because of the product variety and structure complexity of the engineering machinery, it was difficult to meet the requirements of fault detection and maintenance for the traditional diagnosis technologies. In order to improve the diagnostic level, the intelligent control technology of neural network and its application in engineering machinery fault diagnosis were studied. The basic concepts o...

In this paper, the fuzzy system has been used for fault detection and diagnosis of a yeast fermentation bioreactor based on measurements corrupted by noise. In one case, parameters of membership functions are selected in a conventional manner. In another case, using certainty factors between normal and faulty conditions the optimal values of these parameters have been obtained through the g...

For the special working environment and conveyor as diagnostic object, this paper proposed a new fault diagnosis method based on ontology to diagnose the fault of conveyor as follows: stalling, drifting and damage. The experiment results show that: the proposed fault diagnosis method avoids the weakness of former methods, could diagnose all kinds of fault phenomenon and different fault causes. ...

Advanced Fault Diagnosis Techniques and Their Role in Preventing Cascading Blackouts. (December 2006) Nan Zhang, B.S., Tsinghua University, China; M.S., Tsinghua University, China Chair of Advisory Committee: Dr. Mladen Kezunovic This dissertation studied new transmission line fault diagnosis approaches using new technologies and proposed a scheme to apply those techniques in preventing and mit...

This paper presents a method for diagnosis of eccentricity fault in a switched-reluctance motor (SRM) during offline and standstill modes. In this method, the fault signature is differential induced voltage (DIV) achieved by injecting diagnostic pulses to the motor windings. It will be demonstrated by means of results that there is a correlation between differential induced voltage and eccentri...

Motor fault detection and diagnosis involves processing a large amount of information of the motor system. With the combined synergy of fuzzy logic and neural networks, a better understanding of the heuristics underlying the motor fault detection/diagnosis process and successful fault detection/diagnosis schemes can be achieved. This paper presents two neural fuzzy (NN/FZ) inference systems, na...