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Proceedings Paper

Online measurement of fouling in steam condenser based on character selection and fuzzy modeling
Author(s): Shaosheng Fan; Xiaohua Wang; Hong Li
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Paper Abstract

A novel method based on character selection and fuzzy modeling is proposed in this paper. In the method, sensitivity calculation based on BP neural network is introduced to determine the most suitable character variable which reflects the fouling state. T-S fuzzy model is employed to separate the influences imposed by fouling on character variable from other factors. During fuzzy modeling, a fuzzy clustering algorithm based on similarity assessing is proposed to determine the optimal model structure, which makes the measurement model compact, accurate and robust. Based on the method, an experimental system is developed and experiment on an actual condenser is carried out. The results show the method measures fouling correctly, and is more effective than thermal resistance method or heat transfer coefficient method.

Paper Details

Date Published: 6 November 2006
PDF: 5 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63572U (6 November 2006); doi: 10.1117/12.717148
Show Author Affiliations
Shaosheng Fan, Changsha Univ. of Science and Technology (China)
Xiaohua Wang, Changsha Univ. of Science and Technology (China)
Hong Li, Changsha Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence
Jiancheng Fang; Zhongyu Wang, Editor(s)

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