文章摘要
基于HSMM的数控装备运行可靠性评估
Operational reliability evaluation for CNC equipment based on HSMM
  
DOI:
中文关键词: 隐半马尔科夫模型  运行性能  马尔科夫链  可靠度  数控铣床
英文关键词: HSMM  operation performance  Markov chain  reliability  CNC milling machine
基金项目:国家自然科学基金资助项目(51105141,51275191)
作者单位
袁军1,毛征宇1,刘繁茂2 1.湖南科技大学 机电工程学院, 湖南 湘潭 411201
2.湖南科技大学 机械设备健康维护省重点实验室,湖南 湘潭 411201 
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中文摘要:
      数控装备是高成本的产品,仅仅依靠寿命试验获得数控装备的失效时间耗费太大,在实验数据呈现小样本的情况下研究数控装备的运行性能随时间而变化的规律,从而对数控机床进行可靠性评估是非常有重要意义的.提出采用隐半马尔科夫模型(HSMM)对数控装备运行性能特征参数进行数据挖掘,计算出描述数控装备从正常状态到失效状态变迁过程的状态转移矩阵.结合状态转移矩阵和马尔科夫预测模型对数控装备运行可靠性进行评估.最后,在一款数控铣床上验证该方法的可行性,该方法丰富了数控装备可靠性评估理论.
英文摘要:
      CNC equipment is the high cost of the products, it cost too much to get the failure time of CNC equipment from life test alone. In order to evaluate the reliability of CNC machine tools is very important to study the performance of the numerical control equipment and the time-dependent pattern when the experimental data is not very rich. The hidden semi- Markov model ( HSMM ) was put forward for data mining on CNC equipment performance parameters. The state transition matrix was calculated which describing the failure process that CNC equipment from the normal state to the failure of the state transition. Combined state transition matrix and Markov prediction model to assess the reliability of CNC equipment. The feasibility of this method is verified in a numerical control milling machine, this method enriches the CNC equipment reliability assessment theory.
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