Online measurement of fouling in steam condenser based on character selection and fuzzy modeling

Shaosheng Fan; Xiaohua Wang; Hong Li

doi:10.1117/12.717148

6 November 2006 Online measurement of fouling in steam condenser based on character selection and fuzzy modeling

Shaosheng Fan, Xiaohua Wang, Hong Li

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63572U (2006) https://doi.org/10.1117/12.717148
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

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.

Citation Download Citation

Shaosheng Fan, Xiaohua Wang, and Hong Li "Online measurement of fouling in steam condenser based on character selection and fuzzy modeling", 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); https://doi.org/10.1117/12.717148

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