NDLI: Fault Pattern Recognition of Thermodynamic System Based on SOM

Content Provider	IEEE Xplore Digital Library
Author	Kuang Yin Luo Gang
Copyright Year	2010
Abstract	Thermodynamic system has great effect on security and efficiency of modern thermal power station. According to experiences, thirteen fault types and nine kinds of symptom parameters were summarized and abstracted to diagnose faults. After fuzzy processing and normalization, feature pattern knowledge base was set up on the base of the processed data. Self-organization feature map (SOM) was chosen to establish an expert system that was completed by MATLAB, with nine neurons in input layer and 8×8 two-dimensional competition layer. The expert system was trained by the data of knowledge base. To test the actual performance of SOM, six input samples were used for simulation by MATLAB. Five samples were diagnosed accurately and only one sample was fuzzy. It corresponds with the result of simulation machine. Furthermore, according to simulation result, the number of arranged neurons in competition layer is important to SOM performance. Through mixed programming and application programming interface (API) provided by MATLAB, the expert system can easily be developed to online diagnosis system. Now the online expert system has been used for about one year in a thermal power station and the performance is satisfactory.
Starting Page	3742
Ending Page	3745
File Size	267419
Page Count	4
File Format	PDF
ISBN	9781424468805
e-ISBN	9781424468812
DOI	10.1109/iCECE.2010.913
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Training SOM Thermodynamics Thermodynamic system Water heating Circuit faults Thermal pollution MATLAB Fault pattern recognition
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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