Applying Bayesian Networks Method in Oil Monitoring Technology

摘要：

Oil monitoring has been proven to be an effective method for detecting and diagnosing machinery failure and essential for realizing proactive maintenance. Diagnosis application relying on oil analysis technology must deal with uncertain knowledge and fuzzy input data. Besides other methods, Bayesian networks have been extensively applied to fault diagnosis with the advantages of uncertainty inference, however, in the area of oil monitoring, it is a new field. In this paper, Bayesian networks method is used in the oil monitoring technology for the accumulation of fault diagnosis knowledge and root cause analysis.

关键词： fault diagnosis Bayesian networks oil monitoring

作者: Yan Liu Shiqi Li

作者单位: the School of Mechanical Science & Engineering, HuaZhong University of Science & Technology, Hubei Wuhan

会议类型: 国际会议

会议名称: The Second International Symposium on Intelligence Computation and Applications(ISICA 2007)(第二届智能计算及其应用国际会议)

会议地点: 武汉

会议语种:英文

在线出版日期: 2007-09-21（万方平台首次上网日期，不代表论文的发表时间）