An efficient method for faults diagnosis in analog circuits based on machine learning classifiers
Author:
Funder
Taif University
Deanship of Scientific Research, King Saud University
Publisher
Elsevier BV
Subject
General Engineering
Reference35 articles.
1. A survey on fault diagnosis of analog circuits: Taxonomy and state of the art;Binu;AEU Int. J. Electron. Commun.,2017
2. Multi-source data fusion technique for parametric fault diagnosis in analog circuits;Parai;Integration: VLSI J.,2022
3. An accurate classifier based on adaptive neuro-fuzzy and feature selection techniques for fault classification in analog circuits;Arabi;Integration: the VLSI J.,2019
4. Analog Circuit Fault Classification and Data Reduction Using PCA-ANFIS Technique Aided by K-means Clustering Approach;Laidani;Adv. Electrical Comput. Eng.,2022
5. Analog Circuit Fault Detection by Impulse Response-Based Signature Analysis;Parai;Circuits, Syst., Signal Process.,2020
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