Title :
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
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;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2005 IEEE
Conference_Location :
Fajardo
Print_ISBN :
0-7803-9221-3
DOI :
10.1109/NSSMIC.2005.1596356
