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International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
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No.9 Gaoguannong,Daxue Road,Hangzhou,China
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E-mail:
meem_contribute@163.com
Abstract: In view of the lack of analysis of the failure mode and failure mechanism of electro-hydraulic servo valve, and the lack of research on the complete life evaluation method of electro-hydraulic servo valve,a life analysis method of electro-hydraulic servo valve based on failure mode and failure mechanism analysis (FMMEA) was proposed. Firstly, taking the electro-hydraulic servo valve as the research object, the wear mechanism and life characteristics of the electro-hydraulic servo valve were determined by analyzing the failure mode and failure mechanism (FMMEA) of the electro-hydraulic servo valve. Then, according to the existing fault data and stress types,the Weibull distribution model parameters were determined, and the life model of electro-hydraulic servo valve was determined. Finally, based on the principle of structure and composition of electro-hydraulic servo valve,the reliability models of torque motor, hydraulic amplifier and slide valve components in electro-hydraulic servo valve were established, and the life analysis was carried out. The results show that a more accurate life prediction model can be obtained by analyzing the existing fault data and reasonably selecting the shape parameters of Weibull distribution. The life analysis method of electro-hydraulic servo valve based on FMMEA can effectively reduce the error of life evaluation of electro-hydraulic servo valve and improve the reliability of life analysis of electro-hydraulic servo valve under the influence of various factors.
Key words: electro-hydraulic servo control; life predictionevaluation; fault mode and failure mechanism analysis (FMMEA); wear mechanism; life characteristics; Weibull distribution model; reliability model