Diesel generator sensor fault diagnosis model based on LMD-SVM algorithm-Reference-Cited by-同舟云学术

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Diesel generator sensor fault diagnosis model based on LMD-SVM algorithm

Published:2023-09-22 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Power and Renewable Energy (ICPRE)
language:
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Author:

Cao Wenjing¹,Wang Jiabiao²,Chen Jiajie³,Xu Jing⁴

Affiliation:

1. Jiangsu University of Science and Technology,School of Mechanical Engineering,Zhenjiang,P.R. China

2. Shanghai Marine Equipment Research Institute,Shanghai,China

3. Jiangsu University of Science and Technology,School of Economics and Management,Zhenjiang,P.R. China

4. Jiangsu University of Science and Technology,Marine Equipment and Technology Institute,Zhenjiang,P.R. China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10353070/10353550/10353818.pdf?arnumber=10353818

Reference11 articles.

1. Survey and application of sensor fault detection and isolation schemes

2. Nonlinear sensor fault diagnosis using mixture of probabilistic PCA models

3. Bayesian method for HVAC plant sensor fault detection and diagnosis

4. Multi-sensor fault detection for underwater robots using wavelet analysis[J];Cui;Microcontroller and Embedded System Applications,2018

5. Application of improved LSTM method in chiller sensor fault detection[J];Donghui;Journal of Electrotechnology,2019

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