Abstract
A New Probability Prediction method is proposed for the key subsystems of Machining Center (MC). Firstly, the Failure Mode Effects and Criticality Analysis (FMECA) method is used for finding out the key subsystems which affect the Machining Center reliability most seriously. Then, the empirical models of key subsystems and the Machining Center are built based on the fault time. Under the assumption that the MC is a Series System, the posterior probability of the key subsystems is obtained by Bayesian th eory. The case example shows that the fault probability of key subsystems is changing as the MC fault probability changes. At a given time t, the fault probability of key subsystems can be calculated by the empirical models of key subsystems and the MC.
Publisher
Trans Tech Publications, Ltd.
Reference11 articles.
1. Jia Yazhou, Wang Molin, Jia Zhixin, Probability distribution of machining center faults, Reliability Engineering and System, 50 (1995) 121-125.
2. Yang Zhaojun, Zhu Xiaocui, Jia Yazhou, Fuzzy-Comprehensive valuation of Use Reliability of CNC Machine Tools, J. Key Engineering Materials, 464 (2011) 374-378.
3. Zhaojun Yang, Yinkai Wang, Fei Chen, Prediction of Reliability Model for CNC Machine Tool Based on Exponential Smoothing Mode, J. Advanced Materials Research, 548 (2011) 495-499.
4. Zhaojun Yang, Chuanhai Chen, Fei Chen, Reliability analysis of machining center based on the field data, J. Eksploatacja i Niezawodnosc – Maintenance and Reliability, 15 (2013) 147-155.
5. D. N. Prabhakar Murthy, Michael Bulmer, John A. Eccleston, Weibull model selection for reliability modelling, J. European Journal of Operational Research, 86 (2004) 257-267.
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2 articles.
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