Open Access
MATEC Web of Conferences
Volume 22, 2015
International Conference on Engineering Technology and Application (ICETA 2015)
Article Number 02014
Number of page(s) 5
Section Electric and Electronic Engineering
Published online 09 July 2015
  1. Bridgman M S. 2002. Relating failure prognostics to system benefits. Aerospace Conference Proceedings, (7): 3521–3526. [Google Scholar]
  2. Chang Shuping, Wu Ruitao. 2011. The application of failure prognostic system in state monitoring of power plant generation equipments. GEESD, 2011 International Conference, Jilin: [s.n.]. [Google Scholar]
  3. Chang Shuping, Guo Jianglong, Lv Yukun. 2011. The application of nonlinear state estimation method in fault warning system. Software, 32(7): 57–60. [Google Scholar]
  4. Mo Juan, Wang Xue, Doong Ming, Yan Zhang. 2004. Power transformer fault diagnosis based on rough set theory, Chinese Society for Electrical Engineering, 24(7): 162–167. [Google Scholar]
  5. Xiong Hao, Sun Caixing, Du Peng. 2006. Integrated condition assessment of power transformer based on matter element theory. Journal of Chongqing University (Natural Science Edition), 29(10): 24–28. [Google Scholar]
  6. Jianyuan, Ji Yancliao. 2003. Application of fuzzy Petri knowledge representation in electric power transtormer fault diagnosis. Proceedings of the CSEE 2003, 23(1): 121–125 [Google Scholar]
  7. Sun Hui, Li Weidong, Sun Qizliong. Electric power transformer fault diagnosis using decision tree. Proceedings of the CSEE 2001, 21(2): 50–55 [Google Scholar]
  8. Qian Zheng, Yan Zhang, Luo Chengmu. 2001. Fault diagnosis method of power transformer by integrating case-based reasoning with fuzzy theory and neural network. High Voltage Engineering, 27(6): 1–5. [Google Scholar]
  9. Shu Hongchun, Sun Yiangtei, Si Dajun. ARS approach to founding and maintaining ES knowledge base for fault diagnosis of power transformer. Proceedings of the CSEE 2002, 22(2): 31–35. [Google Scholar]
  10. Yang Li, Qian Zheng, Zhou Yueteng, et al. 1999. Parsimonious covering theory applied for identifying power transformer malfunction. Journal of Yi’an Jiaotong University, 33(4): 13–16 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.