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Operational Reliability Evaluation of Turning-assembly-welding Composite Machining Equipment |
Received:April 22, 2017 Revised:September 15, 2017 |
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DOI:10.7643/ issn.1672-9242.2017.09.020 |
KeyWord:operational reliability evaluation Bayesian theory MCMC method machining equipment |
Author | Institution |
ZHONG Ke-ke |
Shanghai Spaceflight Precision Machinery Institute, Shanghai , China |
FU Yang |
School of Mechano-Electronic Engineering, Xidian University, Xi’an , China |
JIN Yong-qiao |
Shanghai Spaceflight Precision Machinery Institute, Shanghai , China |
GAO Tong |
School of Mechano-Electronic Engineering, Xidian University, Xi’an , China |
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Abstract: |
Objective To evaluate the operational reliability of a certain type of aerospace turning-assembly-welding composite machining equipment in the operational process. Methods At first, common failure modes of the equipment were studied and its failure data was obtained during operational process. Then, the reliability evaluation model of the turning-assembly-welding composite machining equipment using the Bayesian method was proposed with small-sized sample failure data. The complex problem on Posterior integration in Bayesian theory was solved by the Markov Chain Monte Carlo (MCMC) theory. Results The lifetime Weibull distribution of turning-assembly-welding composite machining equipment was determined. Furthermore, the mean time between failures (MTBF) of turning-assembly-welding composite machining equipment was calculated based on the Bayesian method. Conclusion The evaluation result is slightly lower than that of the design. The main reason is that more failure data appeared in the early operational process. The failure rate will decrease and the MTBF will increase in the stable operational process. So the MTBF of the machining equipment basically meets the design requirement. |
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