Title :
Fault diagnosis of turbine using an improved intuitionistic fuzzy cross entropy approach
Author :
Hung, Kuo-Chen ; Lin, Kuo-Ping ; Weng, Chia-Chun
Author_Institution :
Dept. of Logistics Manage., Nat. Defense Univ., Taipei, Taiwan
Abstract :
The fuzzy cross entropy of intuitionistic fuzzy sets, so-called intuitionistic cross entropy, is introduced by analogy with the cross entropy of probability distributions. This paper introduces the concepts of discrimination information and cross-entropy in the intuitionistic fuzzy sets. Based on this improved entropy measure, we add information of an intuitionistic fuzzy index and reveal an intuitive and mathematical connection between the notions of entropy for intuitionistic fuzzy sets in terms of fuzziness and intuitionism. Finally, a fault diagnosis example of the turbine has been illustrated. The example demonstrates that the proposed method cannot only diagnose the main fault types of the turbine, it can also detect useful information for future trends and multi-fault analysis.
Keywords :
entropy; failure analysis; fault diagnosis; formal logic; fuzzy set theory; statistical distributions; turbines; discrimination information; entropy measure; fault diagnosis; fuzziness; intuitionism; intuitionistic fuzzy cross entropy; intuitionistic fuzzy index; intuitionistic fuzzy set; multifault analysis; probability distribution; turbine; Bismuth; Entropy; Fault diagnosis; Fuzzy sets; Indexes; Turbines; Vibrations; Intuitionistic fuzzy sets; cross-entropy; fault diagnosis; similarity measure;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007353