Functional Availability Modelling of CNC Machine Tools

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Abstract:

A new method for calculating the instantaneous availability was proposed based on Functional Data Analysis method. It introduced the Quadratic Bernstein Polynomial into the smoothing method firstly for the reliability which estimated by median rank method and estimated the fitting parameters by least square method. Then, under the assumption that the maintenance difficult of the CNCs was decreasing over the work time, chosen the appropriate smoothing basis function based on the trend after the time section adjustment for the estimated maintainability value. The Fourier basis system and the non-linear least squares were selected for the maintainability function smoothing method and the fitting parameters. Finally, the instantaneous availability model of CNCs was built based on the functional linear regression method, and a case example of 15 CNCs was given.

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Periodical:

Advanced Materials Research (Volumes 915-916)

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395-399

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Online since:

April 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhaojun Yang, Chuanhai Chen, Fei Chen. Maintenance and Reliability, vol. 15(2013), pp.147-155.

Google Scholar

[2] Haitao Guo, Xianghui Yang. Reliability Engineering and System Safety, vol. 93(2008), pp.829-837.

Google Scholar

[3] Yingbing Zhou. journal of Shandong Traffic University, vol. 5(2005), pp.7-10.

Google Scholar

[4] Cristian Constantinescu, Kishor Trivedi. Microelectronics and Reliability, vol. 35(1995), pp.903-914.

Google Scholar

[5] Marseguerra M, Zio E, Basics of the Monte Carlo method with application to system reliability (Hagen, LiLoLe press, 2002).

Google Scholar

[6] Kamal H, Ayyub BM, Proceedings of the 2009 Winter Simulation Conference, Austin, TX, pp.2759-2767, (2009).

Google Scholar

[7] Yan Mingyi. Modern Economic Science, vol. 29(2007), pp.108-113.

Google Scholar