Journal ArticleDOI
A fuzzy approach for soft fault detection in analog circuits
TLDR
An automatic fault diagnosis technique based on a fuzzy approach to the detection and the isolation of single soft faults in analog electronic circuits and its performance is analyzed by means of two examples.About:
This article is published in Measurement.The article was published on 2002-07-01. It has received 35 citations till now. The article focuses on the topics: Stuck-at fault & Fault detection and isolation.read more
Citations
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Journal ArticleDOI
RideNN: A New Rider Optimization Algorithm-Based Neural Network for Fault Diagnosis in Analog Circuits
D. Binu,B. S. Kariyappa +1 more
TL;DR: A technique for the fault diagnosis in analog circuits is designed by proposing a new optimization algorithm, named, rider optimization algorithm (ROA), based on a group of riders, racing toward a target location.
Journal ArticleDOI
A survey on fault diagnosis of analog circuits: Taxonomy and state of the art
D. Binu,B. S. Kariyappa +1 more
TL;DR: This critical review discusses the research challenges that are still available in the existing techniques and the way to extend the current research is also examined.
Journal ArticleDOI
An approach to model-based fault detection in industrial measurement systems with application to engine test benches
TL;DR: An approach to fault detection in industrial measurement systems is proposed in this paper which includes an identification strategy for early detection of the appearance of a fault, and nominal models are used which represent the fault-free state of the on-line measured process.
Journal ArticleDOI
Fuzzy classifier for fault diagnosis in analog electronic circuits.
Ashwani Kumar,A. P. Singh +1 more
TL;DR: A new single and multiple fault diagnosis technique for soft faults in analog electronic circuit using fuzzy classifier using the simulation before test (SBT) approach, which gives the estimated component value under faulty and faultfree conditions.
Journal ArticleDOI
Analog circuits fault diagnosis using multi-valued Fisher's fuzzy decision tree (MFFDT)
Yiqian Cui,Junyou Shi,Zili Wang +2 more
TL;DR: A new fault diagnosis technique called multi‐valued Fisher's fuzzy decision tree (MFFDT) is proposed in this paper that uses the decision tree as the diagnosis model and incorporates the Fisher's linear discriminant principles.
References
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Journal ArticleDOI
A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations
TL;DR: In this paper, it was shown that the likelihood ratio test for fixed sample size can be reduced to this form, and that for large samples, a sample of size $n$ with the first test will give about the same probabilities of error as a sample with the second test.
Journal ArticleDOI
Growing cell structures—a self-organizing network for unsupervised and supervised learning
TL;DR: A new self-organizing neural network model that has two variants that performs unsupervised learning and can be used for data visualization, clustering, and vector quantization is presented and results on the two-spirals benchmark and a vowel classification problem are presented that are better than any results previously published.
Book
A Theory of Learning and Generalization: With Applications to Neural Networks and Control Systems
TL;DR: This paper presents Vapnik-Chervonenkis and Pollard (Pseudo-) Dimensions, a model of learning based on uniform Convergence of Empirical Means, and applications to Neural Networks and Control Systems, and some Open Problems.
Journal ArticleDOI
Statistical learning theory and randomized algorithms for control
TL;DR: The use of randomized algorithms to solve some problems in control system designs that are perceived to be "difficult" is presented to show that the randomized approach can be quite successful in tackling a practical problem.
Journal ArticleDOI
The LBG-U Method for Vector Quantization – an Improvement over LBGInspired from Neural Networks
TL;DR: It can be proved that LBG-U terminates in a finite number of steps, and experiments with artificial data demonstrate significant improvements in terms of RMSE over LBG combined with only modestly higher computational costs.
Related Papers (5)
Soft fault detection and isolation in analog circuits: some results and a comparison between a fuzzy approach and radial basis function networks
Marcantonio Catelani,Ada Fort +1 more
A Modular Fault-Diagnostic System for Analog Electronic Circuits Using Neural Networks With Wavelet Transform as a Preprocessor
M. Aminian,F. Aminian +1 more