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An Analog Circuit Fault Diagnosis Method Based on SVM Optimized with BQPSO Cover

An Analog Circuit Fault Diagnosis Method Based on SVM Optimized with BQPSO

Open Access
|Apr 2018

References

  1. V. Sugumaran, V. Muralidharan, K. I. Ramachandran. Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing [J]. Mechanical Systems and Signal Processing, 2007, 21: 930-942.10.1016/j.ymssp.2006.05.004
  2. Tai-Yue Wang, Huei-Min Chiang. Fuzzy support vector machine for multi-class text categorization [J]. Information Processing and Management, 2007, 43: 914-929.10.1016/j.ipm.2006.09.011
  3. Allwein E L, Schapire R E, Singer Y. Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers [J]. Journal of Machine Learning Research, 2000, (1): 113-141.
  4. DUAN Xiu-sheng, SHAN Gan-lin. Hierarchical Support Vector Machine for Multi-class Classification [J]. JOURNAL OF ORDNANCE ENGINEERING COLLEGE, 2009,21(1): 64-66.
  5. Li Baochen, Huang Kaoli. Study on Generation of A Multiple Fault Minimal Candidates Set Based on BQPSO [J]. Computer Measurement & Control, 2013,21(6): 1476-1482.
  6. HAN Ying-xian, LIU Jing. Path Planning Algorithm for Underwater Vehicle Based on BQPSO [J]. COMPUTER ENGINEERING, 2011,37(8): 216-218.
  7. Wang Cheng, Yang Sen. Research on Fault Prediction of Power Supply Based on SVR Optimized with Improved QPSO [J]. Computer Measurement & Control , 2014,22(5): 1342-1344.
Language: English
Page range: 53 - 58
Published on: Apr 2, 2018
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2018 Wang Zhongsheng, Yang Sen, Huang Shujuan, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution 4.0 License.