DocumentCode
2785236
Title
The optimization of RPN criticality analysis method in FMECA
Author
Niu, Yu Mei ; He, Yu Zhu ; Li, Jian Hong ; Zhao, Xiao Jun
Author_Institution
Dept. of Syst. Eng. of Eng. Technol., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear
2009
fDate
23-25 Oct. 2009
Firstpage
166
Lastpage
170
Abstract
Aiming at the defect of traditional risk priority number (RPN) method in FMECA, a RPN assessment method is put forward which bases on the fault propagation probability and cost, then a corrective actions choice method is presented by gray correlation theory. Firstly, the occurrence probability and cost are calculated according to fault propagation tree. RPN is assessed by the overall risk of the events. This method avoids the subjectivity and inaccuracy of O,S and D´ ranking assessment in traditional RPN. Then a gray correlation theory is introduced in to implement corrective actions choice for the failure mode whose RPN value is higher than the acceptable risk. The choice method has made up for the lack of corrective actions choice method in traditional RPN. Finally, an aircraft elevator control sub-systems is taken as an example and RPN assessment method and actions choice method above are used, a better result is obtained.
Keywords
fault diagnosis; lifts; probability; risk analysis; trees (mathematics); FMECA; RPN criticality analysis method; aircraft elevator control subsystem; corrective action choice method; failure mode effect; fault propagation probability; fault propagation tree; gray correlation theory; risk priority number assessment method; Aerospace control; Aircraft; Costs; Elevators; Failure analysis; Helium; Optimization methods; Probability; Space technology; Systems engineering and theory; FMECA; RPN; gray correlation analysis method; reliability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5204-0
Electronic_ISBN
978-1-4244-5206-4
Type
conf
DOI
10.1109/ICACIA.2009.5361125
Filename
5361125
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