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In this paper a survey on fault diagnosing techniques of electronic circuits are presented which are related mainly to industrial applications. Diagnozing the faults in circuit boards is very essential for achieving better reliability and easy maintainance of electronic systems. The circuit fault finding diagnosis is treated as the pattern recognition case and uses machine learning methodology. Increasing...
The quantitative descriptions of fault responses' characters are the chiefly presupposition of circuit fault analysis and diagnosis. Aimed to solving the deficiency of traditional information entropy theory in characters extraction of the information mutation, an energy based information entropy model is proposed to measure the complexity feature of signals. Firstly, the energy distribution uncertainty...
On-time circuit fault diagnosis is very important. This paper offers a new algorithm of fault recognition knowledge acquisition based on simulation evolutionary algorithm. This algorithm is efficient to locate and recognize fault. The simulation result has proved the feasibility and efficiency of this algorithm.
The SVM technique has good generalization capability for small-sample cases of classification. In essence, fault diagnosis is just a kind of classification. When SVM is applied to the fault diagnosis for circuit, SVM needs to be improved. As a result, a method of Synthesized SVM (SSVM) is proposed in this paper. The SSVM includes PCA and combined SVM (CSVM) we design. PCA can eliminate a lot of irrelevant...
With the shrinking process technologies and the use of copper process, open defects on interconnect wires, contacts and vias often cause failure. Development of an efficient fault diagnosis method for open faults is desired. However, the diagnosis method for open faults has not been established yet. In this paper, we propose a novel approach for improving the diagnostic quality of open faults by introducing...
This paper presents three core files relating to circuit fault diagnosis which is generated by LASAR (logic automated stimulus response), i.e. fault dictionary, node truth table and pin connection table, analyses the content of fault dictionary, pin connection table and node truth table, finds the necessary information for fault location, summarizes the procedure of circuit test and fault location...
In this paper a model for emergency luminaire circuits is utilized for building a fault dictionary so as to be used for circuit fault diagnosis. Simulation and measurements used for testing an emergency luminaire were performed in order to verify the emergency luminaire circuits behavior. Simulation results were compared to the experimental data acquired with the help of an oscilloscope and a measuring...
We have developed a modular analog circuit fault- diagnostic system based on neural networks using wavelet decomposition, principal component analysis, and data normalization as preprocessors. Our proposed system has the ability to identify faulty components or modules in an analog circuit by analyzing its impulse response. In this approach, the circuit is divided into modules, which, in turn, are...
An approach for fault diagnosis of push-pull circuits based on least squares wavelet support vector machines (LS-WSVM) is presented. Output voltage signals of push-pull circuits under faulty conditions are obtained with simulation. Then wavelet coefficients of output voltage signals are gained by wavelet decomposition, and faulty feature vectors are extracted from coefficients. After training multi-class...
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