DocumentCode :
2251633
Title :
Fuzzy logic for plant monitoring and diagnostics
Author :
Castillo, Oscar ; Melin, Patricia
Author_Institution :
Dept. of Comput. Sci., Tijuana Inst. of Technol., Mexico
Volume :
1
fYear :
2004
fDate :
25-29 July 2004
Firstpage :
61
Abstract :
We describe A new approach for plant monitoring and diagnostics using type-2 fuzzy logic and fractal theory. The concept of the fractal dimension is used to measure the complexity of the time series of relevant variables for the process. A set of type-2 fuzzy rules is used to represent the knowledge for monitoring the process. In the type-2 fuzzy rules, the fractal dimension is used as a linguistic variable to help in recognizing specific patterns in the measured data. The fuzzy fractal approach has been applied before in problems of financial time series prediction and for other types of problems, but now it is proposed to the monitoring of plants using type-2 fuzzy logic. We also compare the results of the type-2 fuzzy logic approach with the results of using only a traditional type-1 approach. Experimental results show a significant improvement in the monitoring ability with the type-2 fuzzy logic approach.
Keywords :
diagnostic expert systems; fractals; fuzzy logic; fuzzy systems; pattern recognition; time series; financial time series prediction; fractal theory; fuzzy logic; fuzzy rules; pattern recognition; plant diagnostics; plant monitoring; time series complexity; Computer science; Computerized monitoring; Condition monitoring; Fractals; Fuzzy logic; Fuzzy sets; Fuzzy systems; Pattern recognition; Time measurement; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
ISSN :
1098-7584
Print_ISBN :
0-7803-8353-2
Type :
conf
DOI :
10.1109/FUZZY.2004.1375688
Filename :
1375688
Link To Document :
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