Title :
FMMEA automation based on function flow modeling
Author :
Jianmin Liu ; Yuanhong Liu ; Jiang, Pingping ; Feng, FuZhou
Author_Institution :
Dept. of Training, Acad. of Armored Force Eng., Beijing, China
Abstract :
Since traditional failure mode and effect analysis (FMEA) methods could not identify failure mechanism, and are weak to analysis failure cause, to identify potential failure mode, and to reason failure effect, a novel failure mechanisms, modes and effects analysis (FMMEA) method is presented in this paper. Firstly, a function model based on function basis is created, in accordance with system structure, function and internal material flow, energy flow, signal flow and other information. Then, component failure information is added to compose the system function flow model. Based on the model, the failure mode propagated tables are obtained using fuzzy cognitive map theory. Finally, a fuel supply system is analyzed to verify the feasibility and effectiveness of this method.
Keywords :
failure analysis; fuzzy set theory; FMMEA automation; FMMEA method; component failure information; failure mechanism mode and effect analysis; fuel supply system; function flow modelling; fuzzy cognitive map theory; system function flow model; Assembly; Circuit faults; Degradation; Failure analysis; Fuel storage; Fuels; Valves; failure mechanism; failure mode; function flow model; fuzzy cognitive map;
Conference_Titel :
Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
Conference_Location :
Zhangiiaijie
Print_ISBN :
978-1-4799-7957-8
DOI :
10.1109/PHM.2014.6988220