Multifractal Analysis for Soft Fault Feature Extraction of Nonlinear Analog Circuits

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...

Fault Coverage Measurement Technique for Analog Circuits

This report describes an effort to develop a technique for measuring the amount of fault detection coverage that an analog test pattern has for a particular analog device. The technique is based on a software tool which statistically analyzes data from a circuit simulator. One example of a fault simulation experiment is presented, and some of the results are discussed. Finally, some ideas for f...

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

Feature Extraction from Dna Sequences by Multifractal Analysis

This paper presents feature extraction and estimation of multifractal measures of DNA sequences, using a multifractal methodology, and demonstrates a new scheme for identifying biological functionality, using information contained within the DNA sequences. It shows that the Rényi and Mandelbrot fractal dimension spectra may be useful techniques for extracting the information contained in the DN...

Diagnosis Method for Analog Circuit Hard Fault and Soft Fault

Because the traditional BP neural network slow convergence speed, easily falling in local minimum and the learning process will appear oscillation phenomena. This paper introduces a tolerance analog circuit hard fault and soft fault diagnosis method based on adaptive learning rate and the additional momentum algorithm BP neural network. Firstly, tolerance analog circuit is simulated by OrCAD / ...