A Neural Network Based System for Soft Fault Diagnosis in Electronic Circuits
نویسندگان
چکیده
The paper considers the architecture and the main steps of development of a neural network based system for diagnosis of soft faults in analog electronic circuits. The definition of faults of interest, selection of an optimal set of measurements, feature extraction, the construction of the artificial neural network, training and testing the network, are considered. A fault dictionary method was implemented in the system. Experimental results are presented on an example of diagnosis of a 6-th order bandpass filter. The measuring part of the system performs input-output measurements in the frequency domain with the aid of a HP 4192 Transmitance Analyzer.
منابع مشابه
Stator Turn-to-Turn Fault Detection of Induction Motor by Non-Invasive Method Using Generalized Regression Neural Network
Condition monitoring and protection methods based on the analysis of the machine's current are widely used according to non-invasive characteristics of current transformers. It should be noted that, these sensors are installed by default in the machine control center. On the other hand, condition monitoring based on mathematical methods has been proposed in literature. However, they are model b...
متن کاملAN INTELLIGENT FAULT DIAGNOSIS APPROACH FOR GEARS AND BEARINGS BASED ON WAVELET TRANSFORM AS A PREPROCESSOR AND ARTIFICIAL NEURAL NETWORKS
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...
متن کاملDeveloping A Fault Diagnosis Approach Based On Artificial Neural Network And Self Organization Map For Occurred ADSL Faults
Telecommunication companies have received a great deal of research attention, which have many advantages such as low cost, higher qualification, simple installation and maintenance, and high reliability. However, the using of technical maintenance approaches in Telecommunication companies could improve system reliability and users' satisfaction from Asymmetric digital subscriber line (ADSL) ser...
متن کاملSoft fault detection and isolation in analog circuits: some results and a comparison between a fuzzy approach and radial basis function networks
This paper provides a comparison between two techniques for soft fault diagnosis in analog electronic circuits. Both techniques are based on the simulation before test approach: a “fault dictionary” is a priori generated by collecting signatures of different fault conditions. Classifiers, trained by the examples contained in the fault dictionary, are then configured to classify the measured cir...
متن کاملApplication of Radial Basis Neural Networks in Fault Diagnosis of Synchronous Generator
This paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. In the proposed scheme, flux linkage analysis is used to reach a decision. Probabilistic neural network (PNN) and discrete wavelet transform (DWT) are used in design of fault diagnosis system. PNN as main part of thi...
متن کامل