Prediction of nuclear power valve faults using sample expansion method, multi-domain feature-optimal screening method and GA-SVM: (Prediction of nuclear power valve faults)-Reference-Cited by-同舟云学术

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Prediction of nuclear power valve faults using sample expansion method, multi-domain feature-optimal screening method and GA-SVM: (Prediction of nuclear power valve faults)

Published:2023-04-14 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)
language:
Short-container-title:

Author:

Xia Yanjun¹,Pan Yanghong¹,Tang Zhangchun¹

Affiliation:

1. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China,Chengdu,China,611731

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10142229/10142257/10142417.pdf?arnumber=10142417

Reference22 articles.

1. Intelligent fault diagnosis system of hydraulic valve based on real-time database;wang;China Petroleum and Chemical Standard and Quality,2020

2. Identification Method of Valve Leakage Ultrasonic Signal Based on Improved CNN;ning;Journal of Beijing University of Posts and Telecommunications,2020

3. Fault diagnosis method and sofeware realization of industrial process based on mechanism and data;zhao;Beijing University of Chemical Technology,2017

4. Research on the On-Line Monitoring and Diagnostic System of Portable Valve Based on BP Neural Network;tao;Instrumentation,2018

5. Application of the Complex Wavelet Analysis in Fault Feature Extraction of Blower Rolling Bearing;pan;Proceedings of the CSEE,0

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