DocumentCode :
1769119
Title :
Reasoning of multi-failure based on concept lattice under incomplete information condition
Author :
Zhao Liang-liang ; Xiao Ming-qing ; Sheng Sheng ; Zhi Hui-lai ; Zhang Lei
Author_Institution :
ATS Lab., Air Force Eng. Univ., Xi´an, China
fYear :
2014
fDate :
24-27 Aug. 2014
Firstpage :
167
Lastpage :
172
Abstract :
To analyze the multi-failure under incomplete information condition, the model based on concept lattice is constructed according to the binary relation between failure modes and basic function elements. Aiming at solving the problem caused by the incomplete information, the algorithm based on maximal confidence, function elements value expectation is designed, develop the extended discernibility matrix of the incomplete information reasoning formal context, based on which, completer the information system, using intension cardinality ascending order traversal algorithm, construct the reasoning concept lattice, the reasoning of the basic function elements is obtained. Taking weapon launching system as an example, the approach is validated, conclusion is given that the approach is better than the existing representative approach in deal with incomplete information and intuitionism of failure mode knowledge display.
Keywords :
fault diagnosis; inference mechanisms; matrix algebra; production engineering computing; binary relation; concept lattice; discernibility matrix; function elements value expectation; incomplete information condition; incomplete information reasoning formal context; intension cardinality ascending order traversal algorithm; maximal confidence; multifailure reasoning; weapon launching system; Algorithm design and analysis; Classification algorithms; Cognition; Context; Information systems; Lattices; Weapons; basic function element; concept lattice; failure mode; incomplete information; multi-failure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
Conference_Location :
Zhangiiaijie
Print_ISBN :
978-1-4799-7957-8
Type :
conf
DOI :
10.1109/PHM.2014.6988156
Filename :
6988156
Link To Document :
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