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计算机工程 ›› 2006, Vol. 32 ›› Issue (15): 189-190,. doi: 10.3969/j.issn.1000-3428.2006.15.067

• 人工智能及识别技术 • 上一篇    下一篇

快速维修决策算法研究及其应用

谷小飞;徐 军;郭锁利;李娟娟;孔令剑   

  1. 第二炮兵工程学院基础试验中心, 西安 710025
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-08-05 发布日期:2006-08-05

Decision Algorithms of High-speed Maintenance and Its Application

GU Xiaofei, XU Jun; GUO Suoli,;LI Juanjuan; KONG Lingjian   

  1. Basic Experiment Center, The Second Artillery Engineering College, Xi’an 710025
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-08-05 Published:2006-08-05

摘要: 针对设备故障诊断领域的不确定因素过多,提出了应用贝叶斯网络于故障诊断,在综合考虑设备发生故障的概率及其维修代价基础上,给出了快速维修决策算法,提供快速维修步骤。并利用该算法成功地运用于故障维修决策。

关键词: 贝叶斯网络, 决策算法, 快速维修

Abstract: For the uncertainty between fault diagnoses, this paper uses Bayesian networks for fault diagnosis. Based on the probability of fault occurrence and cost of maintenance, this paper provides decision algorithms for high-speed maintenance. These algorithms can generate maintenance plans under uncertainty. Using these algorithms for maintenance, the effect is very nice.

Key words: Bayesian networks, Decision algorithms, High-speed maintenance

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