Reliability Analysis of Nuclear Power CNC Wheel Groove Milling Machine Based on Gray Theory

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Abstract:

The reliability data of nuclear power CNC wheel groove milling machine is so few that the reliability can not be predicted by traditional reliability prediction method;or the reliability prediction error is large. A reliability prediction method of nuclear power CNC wheel groove milling machine based on the gray theory is proposed in this paper. Establishing the reliability model of gray theory, the reliability of machine subsystem is determined. Then the relationship between the corresponding average fault-free time and system reliability is realized. The gray comprehensive correlation between theoretical output of the model and the actual system reliability is established, the overall reliability of the nuclear power CNC wheel groove milling machine is determined. For system reliability analysis and system maintenance decision research puts forward a new thinking path, have a good applied foreground. Key words: the nuclear power CNC wheel groove milling machine; gray theory; average fault-free time; system reliability; reliability analysis.

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Periodical:

Advanced Materials Research (Volumes 712-715)

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1477-1486

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Online since:

June 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Ren Yongqiang. Applied Research on Hihg-efficiecy Measurement, Modeling and Compensation for Errors on NC Machine Tools [D]. Shanghai Jiaotong University, 2004.

Google Scholar

[2] Tong Shengfei, Ma xiuhong. Study on Failure Rate Prediction Model Based on Linear Regression [J]. Foreign Electronic Measurement Technology, 2005, (5):28-29.

Google Scholar

[3] Xu guoxiang. Statistical Prediction and Decision [M].Shanghai: Press of Shanghai University of Finance and Economics, 2005.

Google Scholar

[4] Luo Youxin, Zhang Longting, Li Min. Gray System Theory and Its Application in Mechanical Engineering [M].Changsha: National Defense University Press.2001.

Google Scholar

[5] Wang Zhuangmin. Application of Gray Correlation Model in Evaluation on Mechanical Equipments [J].Shanxi Coal.2005,25(2): 34~35.

Google Scholar

[6] Qu Fuzheng, Fei Ye, Wang Ye. Multi-attribute Gray Fuzzy Optimal Selection Model of Complex Mechanism Design Scheme and Its Application [J]. Journal of Dalian University of Technology, 2005, 45(2): 201~205.

Google Scholar

[7] Ni Jun. A Perspective Review of CNC Machine Accuracy Enhancement Through Real-time Error Compensation [J]. Chinese Journal of Mechanical Engineering, 1997,8(1):29-33.

Google Scholar

[8] Yan Jiayu, Zhang Hongtao, Liu Guoliang, etc. Application of a New Optimizing Method for the Measuring Points of CNC Machine Thermal Error Based on Gray Synthetic Degree of Association [J]. Journal of Sichuan university (Engineering Science), 2008,40(2):160-164.

Google Scholar

[9] Yang Jianguo, Yuan Jingxia, Ni Jun. Thermal Error Mode Analysis and Robust Modeling for Error Compensation on a CNC Turning Center[J]. International Journal of Machine Tools and Manufacture, 1999, 39(9): 1367-1381.

DOI: 10.1016/s0890-6955(99)00008-5

Google Scholar

[10] Gong Peng, Fei Yetai. Gray Evaluation Method of Dynamic Measurement Errors Based on Error Propagation Theory [J]. Tool Engineering, 2001, 35(5):31-34.

Google Scholar