Nonlinear Soft Fault Diagnosis of Analog Circuits Based on RCCA-SVM

Research on Fractal Method for Soft Fault Diagnosis of Nonlinear Analog Circuits

The soft fault diagnosis of nonlinear analog circuits is an important guarantee of the stable and reliable operation of electronic products. In view of the low accuracy and heavy computation load of current soft fault diagnosis methods for nonlinear analog circuits, this paper presents a soft fault diagnosis method for nonlinear analog circuits based on fractal theory. Analyzing the single-frac...

Analog Circuit Soft Fault Diagnosis based on PCA and PSO-SVM

Regarding to the complexity and diversity of analog circuit fault, a principal component analysis(PCA) and particle swarm optimization(PSO) support vector machine(SVM) analog circuit fault diagnosis method is proposed. It uses principal component analysis and data normalization as preprocessing, then reduced dimension fault feature is putted into support vector machine to diagnosis, and particl...

A Soft Fault-concept Diagnosis Method of Analog Circuits Based on Cloud Model Theory

As the component parameters of analog circuits are influenced by tolerance, a soft fault-concept diagnosis model in this paper, which is based on the qualitative concepts of cloud model theory, is proposed to achieve the complete description of fault states and the fast diagnosis. The diagnosis model uses the cloud transform method to represent the conceptual soft classification of the multiple...

Fault Diagnosis of Analog Integrated Circuits Fault Diagnosis of Analog Integrated Circuits

Kalman Filter Based Method for Fault Diagnosis of Analog Circuits

This paper presents a Kalman filter based method for diagnosing both parametric and catastrophic faults in analog circuits. Two major innovations are presented, i.e., the Kalman filter based technique, which can significantly improve the efficiency of diagnosing a fault through an iterative structure, and the Shannon entropy to mitigate the influence of component tolerance. Both these concepts ...