Least squares support vector machine based Analog-Circuit Fault Diagnosis using wavelet transform as preprocessor-Reference-Cited by-同舟云学术

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Least squares support vector machine based Analog-Circuit Fault Diagnosis using wavelet transform as preprocessor

Published:2008-05 Issue: Volume: Page:
ISSN:
Container-title:2008 International Conference on Communications, Circuits and Systems
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Author:

Bing Long ,Jianguo Huang ,Shulin Tian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4636103/4657700/04657943.pdf?arnumber=4657943

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Few-Shot Machinery Fault Diagnosis Framework Based on Self-Supervised Signal Representation Learning;IEEE Transactions on Instrumentation and Measurement;2024

2. Multi-Rider Optimization-Based Neural Network for Fault Isolation in Analog Circuits;Journal of Circuits, Systems and Computers;2020-08-19

3. Modeling and Compensation of Random Drift of MEMS Gyroscopes Based on Least Squares Support Vector Machine Optimized by Chaotic Particle Swarm Optimization;Sensors;2017-10-13

4. A Novel Approach for Diagnosis of Analog Circuit Fault by Using GMKL-SVM and PSO;Journal of Electronic Testing;2016-09-27

5. Fault Diagnosis for Analog Circuits by Using EEMD, Relative Entropy, and ELM;Computational Intelligence and Neuroscience;2016

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