Fault detection in analog electronic circuits using fuzzy inference systems and particle swarm optimization-Reference-Cited by-同舟云学术

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Fault detection in analog electronic circuits using fuzzy inference systems and particle swarm optimization

Published:2024-05 Issue: Volume:95 Page:376-393
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Dieste-Velasco M.I.

Publisher

Elsevier BV

Reference37 articles.

1. Review: machine learning techniques in analog/RF integrated circuit design, synthesis, layout, and test;Afacan;Integration,2021

2. Neural network applications in fault diagnosis and detection: an overview of implementations in engineering-related systems;Mohd Amiruddin;Neural Comput. Appl.,2020

3. Application of improved bubble entropy and machine learning in the adaptive diagnosis of rotating machinery faults;Gong;Alex. Eng. J.,2023

4. Investigation of fault detection and isolation accuracy of different Machine learning techniques with different data processing methods for gas turbine;Molla Salilew;Alex. Eng. J.,2022

5. An efficient method for faults diagnosis in analog circuits based on machine learning classifiers;Arabi;Alex. Eng. J.,2023

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