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Author:

Fan, Jin Wei (Fan, Jin Wei.) (Scholars:范晋伟) | Zhou, Zhong Yuan (Zhou, Zhong Yuan.) | Wang, Ze Li (Wang, Ze Li.) | Miao, Wei (Miao, Wei.)

Indexed by:

EI Scopus

Abstract:

Aiming at the limitation by the high cost of test and length cycle process of the CNC grinding machine reliability evaluation, this article adopted small sample technology which needs less data while getting higher evaluation accuracy, by using the theory of Bayes theorem and failure rate as of the random variables, the experiment data of tracking CNC grinding machine for a year is analyzed. Results indicate that results acquired by this mean are consistent with the actual; meanwhile, it shortens test cycle and reduces cost, which is a very effective way to analysis CNC grinding machine. Therefore, it's very essential that the small sample technology research is applied in the CNC grinding machine evaluation. © (2014) Trans Tech Publications, Switzerland.

Keyword:

Cost benefit analysis Grinding machines Research Reliability theory

Author Community:

  • [ 1 ] [Fan, Jin Wei]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Zhou, Zhong Yuan]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Wang, Ze Li]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Miao, Wei]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China

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Source :

ISSN: 1022-6680

Year: 2014

Volume: 971-973

Page: 688-692

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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