DocumentCode :
2796032
Title :
Intelligent FMEA based on model FIORN
Author :
Tingdi, Zhao ; Tiejun, Su ; Xiao, He ; Linling, Sun
Author_Institution :
Beijing Univ. of Aeronaut. & Astronaut., China
fYear :
2004
fDate :
26-29 Jan. 2004
Firstpage :
386
Lastpage :
390
Abstract :
FMEA automation and intelligence are studied, which is an effective way to improving FMEA in product development. Firstly, we formed an intelligent FMEA framework that is an intelligent failure effect inference mechanism based on the target system model as well as using expert experience and considering failure modes input and output relationship between products in the system. This framework is comprised of three parts, failure mode analyzer, failure effect analyzer and FMEA report creator. Failure effect analysis based on system models. We form two system modeling methods, system hierarchical model based on expert knowledge and fault input/output relationship net (FIORN) model which describes the relationship among products belonging to the same level in the system. The latter based on failures´ relationship and it could analyse correlated failures and common cause failures. Inference mechanism is presented based on these two models. Lastly, a prototype software - iFMEA (intelligent FMEA) is developed. Intelligent FMEA technique is used in analysis of an aircraft´s main gear system through which detail steps of intelligent FMEA method are described. System modeling method and inference mechanism are validated by this example.
Keywords :
aircraft; artificial intelligence; failure analysis; fault diagnosis; inference mechanisms; product development; software prototyping; FIORN model; FMEA report creator; aircraft main gear system; common cause failures; correlated failures; failure effect analyzer; failure effect inference mechanism; failure mode analyzer; failure mode effect analysis; fault input/output relationship net model; intelligent FMEA framework; product development; prototype software; system hierarchical model; target system model; Artificial intelligence; Automation; Failure analysis; Helium; Inference mechanisms; Large scale integration; Object oriented modeling; Product development; Software prototyping; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability and Maintainability, 2004 Annual Symposium - RAMS
Print_ISBN :
0-7803-8215-3
Type :
conf
DOI :
10.1109/RAMS.2004.1285480
Filename :
1285480
Link To Document :
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