Research of Improved Credibility Theory for the Fault Diagnosis of Condenser

Article Preview

Abstract:

Research on fault diagnosis of condenser has a great significance to safe and efficient operation of power plant. In view of shortcomings of existing diagnosis methods, this paper proposed a fault diagnosis method of condenser based on improved credibility theory,and applied the merits of credibility reasoning to the fault diagnosis of condenser. By proposing a more rational expression way of symptoms and some mathematical equations which can convert field data into symptoms’ credibility, this paper provided a solid basis for acquiring symptoms’ information accurately. Meanwhile, the setting method of rule confidence of credibility rule was improved, which can make the process of credibility reasoning closer to human experts thinking. Experiment results show that this model meets the demand of condenser fault diagnosis well and has important theoretical significance and practical value.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

6764-6769

Citation:

Online since:

January 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] XiaoJuan Han, DaPing Xu, YiBing Liu, Application of principal components analysis in condenser fault diagnosis, Intelligent Control and Automation, vol. 2, pp.5666-5669, (2006).

DOI: 10.1109/wcica.2006.1714160

Google Scholar

[2] Shi Yong, Zhang Zhong-min, Wu yong-yun, Analysis and study on the fault diagnosis method of vacuum in condenser for steam turbine unit, Thermal Power Generation, vol. 8, pp.25-28, 2004. (In Chinese).

Google Scholar

[3] Nian-Su Hu, Na-Na He, Sheng Hu, Fault diagnosis of the steam turbine condenser system based on SOM neural network, Machine Learning and Cybernetics, vol. 2, pp.1222-1225, (2003).

DOI: 10.1109/icmlc.2003.1259673

Google Scholar

[4] Zheng Pu-yan, Cai Ning-sheng, Sheng Kun-quan, Liu Hai-yuan, The application of the fault diagnosis in the thermal system of fossil fuel-fired power station and existing problems, Turbine Technology, vol. 43, pp.321-323, 2001. (In Chinese).

Google Scholar

[5] Ma Liangyu, Wang Bingshu, Research on fault sample knowledge abstraction and fault fuzzy diagnosis for large power station halving-style condenser, Power System Technology, vol. 1, pp.351-356, (2002).

DOI: 10.1109/icpst.2000.900082

Google Scholar

[6] Fan Sheng-ping, Cao Shun-an, Zhang Jin, Application of fuzzy math in fault diagnosis for condenser, Turbine Technology, vol. 45, pp.113-115, 2003. (In Chinese).

Google Scholar

[7] Wang Peihong, Zhu Yuna, Jia Junying, Lu Zhenzhong, Application of fuzzy pattern recognition, Proceeding of the CSEE, vol. 19, pp.46-49, 1999. (In Chinese).

Google Scholar