DocumentCode :
1769260
Title :
Reliability analysis approach for variation by integrating FMEA with VMEA
Author :
Min Luo ; Shengkui Zeng ; Jianbin Guo ; Chunbo Yang
Author_Institution :
Sci. & Technol. on Reliability & Environ. Eng. Lab., Beihang Univ., Beijing, China
fYear :
2014
fDate :
24-27 Aug. 2014
Firstpage :
525
Lastpage :
529
Abstract :
This paper describes a reliability analysis approach which is called F-VMEA. Traditional FMEA is insufficient to consider detrimental variations which lead to soft failure, so, the proposed F-VMEA compensates for the deficiencies. Hence, the objective of this article is to show how to simultaneously consider failure and variation in whole product development process. F-VMEA starts with FMEA and processes in parallel with VMEA, hence can derive significantly cooperative effect for predicting system reliability finally. During the concept design phase, integrating FMEA with basic or enhanced VMEA is reasonable and effective for limited information. With the data, information and knowledge increased, the FMECA is combined with probabilistic VMEA in the detailed design stage. This approach not only concentrates on failure but also fully pays more attention on unwanted variation, then, the causes which lead to soft or hard failures can be roundly founded in the design stage. This paper outlines the detailed implementation process of F-VMEA The feasibility of this method is demonstrated by specific steps of implementation. Finally, the jet pipe electrohydraulic servo valve is used to verify the F-VMEA method.
Keywords :
pipes; product design; product development; reliability; servomechanisms; valves; F-VMEA method; FMEA; FMECA; jet pipe electrohydraulic servo valve; probabilistic VMEA; product design; product development process; reliability analysis approach; variation mode and effect analysis; Probabilistic logic; Product development; Reliability engineering; Sensitivity; Servomotors; Valves; F-VMEA; VMEA; simulation; variation;
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.2014.6988228
Filename :
6988228
Link To Document :
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