DocumentCode :
3733183
Title :
A time-variant reliability modeling and analysis method of multi-state complex electromechanical system
Author :
Qian Wang;Jianguo Zhang;Linjie Kan;Pidong Wang
Author_Institution :
Department of Reliability and System Engineering, Beihang University, Beijing, China
fYear :
2015
Firstpage :
1718
Lastpage :
1722
Abstract :
Complex electromechanical systems considering performance degradation are multi-state systems which cannot be described by traditional reliability theories based on the binary states assumption. Generally, such systems contain both electronic and mechanical components that have different failure mechanism and characteristics. In addition, states of the system and its components are time-variant, which makes reliability modeling and analysis challenging. To overcome these difficulties, a hierarchical modeling approach is proposed in this paper. At the component level, we adopt a homogeneous Markov chain model for electronic components and a multi-state physical model based on Monte Carlo simulation for mechanical components respectively. After that, a time-variant multi-state multi-valued decision diagram (TMMDD) method is proposed to represent the system structure function at the system level. Finally, a practical engineering example of a space drive system is provided to illustrate the proposed method.
Keywords :
"Degradation","Analytical models","Mathematical model","Electromechanical systems","Markov processes","Reliability theory"
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/IEEM.2015.7385941
Filename :
7385941
Link To Document :
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