A smart software sensor for feedwater flowrate measurement monitoring

Author

Na, Man Gyun ; Hwang, In Joon ; Lee, Yoon Joon

Author_Institution

Dept. of Nucl. Eng., Chosun Univ., Gwangju

Volume

2

fYear

2005

fDate

23-29 Oct. 2005

Firstpage

706

Lastpage

710

Abstract

In this work, a smart software sensor using a fuzzy model is developed in order to accurately estimate online the feedwater flowrate, and also to monitor the status of the existing hardware sensors. A subtractive clustering method is used as the basis of a fast and robust algorithm for identifying the fuzzy model. The fuzzy model is optimized by a genetic algorithm combined with a least squares method. The proposed smart software sensor is verified by using the acquired real plant data of Yonggwang Nuclear Power Plant Unit 3. In the simulations, since the root mean squared error and the relative maximum error are so small and the proposed smart software sensor early detects the degradation of an existing hardware sensor, it can be applied successfully to validate and monitor the existing hardware feedwater flow meters

Keywords

flow measurement; flow sensors; fuzzy systems; feedwater flowrate; fuzzy model; genetic algorithm; hardware feedwater flow meters; hardware sensors; least square method; smart software sensor; subtractive clustering method; Clustering algorithms; Clustering methods; Genetic algorithms; Hardware; Intelligent sensors; Least squares methods; Monitoring; Optimization methods; Robustness; Software measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium Conference Record, 2005 IEEE

Conference_Location

Fajardo

ISSN

1095-7863

Print_ISBN

0-7803-9221-3

Type

conf

DOI

10.1109/NSSMIC.2005.1596356

Filename

1596356