Reliability analysis of electrical system of computer numerical control machine tool based on bayesian networks

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• 作者：Tudi Huang 黄土地 ; Jing Yan 宴 晶 ; Mei Jiang 姜 梅…
• 关键词：dynamic fault tree (DFT) ; Bayesian network (BN) ; reliability ; computer numerical control (CNC) machine tool ; electrical system
• 刊名：Journal of Shanghai Jiaotong University (Science)
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：21
• 期：5
• 页码：635-640
• 全文大小：518 KB
• 刊物类别：Engineering
• 刊物主题：Electrical Engineering
  Life Sciences
  Architecture
  Chinese Library of Science
  
• 出版者：Shanghai Jiao Tong University Press
• ISSN：1995-8188
• 卷排序：21

文摘

The core of computer numerical control (CNC) machine tool is the electrical system which controls and coordinates every part of CNC machine tool to complete processing tasks, so it is of great significance to strengthen the reliability of the electrical system. However, the electrical system is very complex due to many uncertain factors and dynamic stochastic characteristics when failure occurs. Therefore, the traditional fault tree analysis (FTA) method is not applicable. Bayesian network (BN) not only has a unique advantage to analyze nodes with multiply states in reliability analysis for complex systems, but also can solve the state explosion problem properly caused by Markov model when dealing with dynamic fault tree (DFT). In addition, the forward causal reasoning of BN can get the conditional probability distribution of the system under considering the uncertainty; the backward diagnosis reasoning of BN can recognize the weak links in system, so it is valuable for improving the system reliability.