Turbine Fault Diagnosis Based on Fuzzy Theory and SVM

Author:

Xia Fei,Zhang Hao,Peng Daogang,Li Hui,Su Yikang

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Diao, Y., Passinb, K.M.: Fault diagnosis for a turbine engine. Control Engineering Practice, 1151–1165 (December 2004)

2. Zeng, X., Li, K.K., Chan, W.L., Yin, X., Chen, D., Lin, G.: Discussion on application of information fusion techniques in electric power system fault detection. Electric Power 36, 8–12 (2003)

3. Zhao, H., Li, W., Sheng, D., et al.: Study on Fault Diagnosis of Condenser Based on BP Neural Network. Power System Engineering 20, 32–34 (2004)

4. Chen, Z., Xu, J.: Condenser fault diagnosis based on Elman networks. East China Electric Power 35, 871–874 (2007)

5. Wang, J., Li, L., Tang, G.: Study on Fault Diagnosis of Condenser Based on RBF Neural Network. Electric Power Science and Engineering 23, 27–31 (2007)

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