DocumentCode :
1801164
Title :
Research of Testability Knowledge Acquisition Technology Based on Functional and Structure Model
Author :
Guangyao, Lian ; Kaoli, Huang ; Zhonglin, Wei ; Kaixuan, Xue
Author_Institution :
Ordnance Eng. Coll., Shijiazhuang
fYear :
2007
fDate :
Aug. 16 2007-July 18 2007
Abstract :
Aiming at the practical problems of lacking testability knowledge and difficult in knowledge acquisition, it puts forward a knowledge acquisition method based on functional model. It analyzes fault mechanics from using test signal flow, builds models in fault space, guides testability design by FTA and FMEA, acquires fault symptom information by functional simulation, acquires testability knowledge by comprehensive analysis the results at last. The reliability of knowledge acquired by this method is very high, which has important meaning in improving the testability design level for products.
Keywords :
data mining; fault diagnosis; testing; FMEA; FTA; comprehensive analysis; fault space; fault symptom information; functional simulation; testability knowledge acquisition technology; Aggregates; Analytical models; Buildings; Fault diagnosis; Information analysis; Knowledge acquisition; Signal analysis; Signal design; System testing; US Department of Transportation; Testability knowledge acquisition; data mining; functional simulation; knowledge representation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
Type :
conf
DOI :
10.1109/ICEMI.2007.4351252
Filename :
4351252
Link To Document :
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