Open Access
MATEC Web of Conferences
Volume 55, 2016
2016 Asia Conference on Power and Electrical Engineering (ACPEE 2016)
Article Number 03004
Number of page(s) 6
Section Fault Diagnostic and Fault-Tolerant Power Converters
Published online 25 April 2016
  1. ZHANG Lin, SUN Anquan, WANG Tianyi, et al. Intelligent fault diagnosis of certain missile equipment. Journal of Central South University(Science and Technology), 216-220.(2013)
  2. LI Xue-liang, LIU Shi-bin, CHEN dong, QIU Song-song. Denoising of LAPS signal based on wavelet transform. Journal of Optoelectronics • Laser,25(5):835–839. (2014)
  3. Gu Wen-cheng; Chai Bao-ren; Teng Yan-ping. Research on Support Vector Machine Based on Particle Swarm Optimization. Transactions of Beijing Institute of Technology, 34(7):705–709. (2014)
  4. Lin Zhang, Liu Tao, etc. Research on Fault Diagnosis of Weapon Equipment Based on SVM. 2012 International Conference on Intelligent System and Applied Material GSAM,1242–1245. (2012)
  5. ZENG Zuo-qin. Application of Wavelet Transform for Data Processing in Making and Breaking Test. Electrotechnics Electric. 2:42–47.(2012)
  6. Hu Liang-mou. Support Vector Machine fault diagnosis and control technology. Beijing: Academic Press. (2011)
  7. An-quan Sun, Lin Zhang, Wen-feng Wang, et al. Robust FDI for a Class of Nonlinear Networked Systems with ROQs. Mathematical Problems in Engineering, 1-8. (2014)
  8. Wang Chun-lin, Zho Uhao, Li Guo-neng. etc. Combining Support Vector Machine and Genetic Algorithm to Predict Ash Fusion Temperature. Proceedings of the CSEE, 08:11–15. (2007)
  9. Lin H T, Lin C J. A study on sigmoid kernels for SVM and the training of non-PSD kernels by SMO-type methods [EB]. http:/ (2003)
  10. Zheng Jun, HOU Rui-feng. Selection of Wavelet Base in Denoising of Wavelet Transform. Journal of Shenyang University,21(2):108–110.(2009)