中国机械工程

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流向图在行星齿轮箱故障诊断中的应用

于军1,2;于德水1   

  1. 1.哈尔滨理工大学自动化学院,哈尔滨,150080
    2.哈尔滨工业大学机电学院,哈尔滨,150001
  • 出版日期:2018-05-25 发布日期:2018-05-25
  • 基金资助:
    国家自然科学基金资助项目(61673142,51275136)
    National Natural Science Foundation of China(No. 61673142,51275136)

Applications of Flow Graph to Fault Diagnosis of Planetary Gearboxes

YU Jun1,2;YU Deshui1   

  1. 1.School of Automation, Harbin University of Science and Technology, Harbin, 150080
    2.School of Mechanical and Electrical Engineering, Harbin Institute of Technology, Harbin,150001
  • Online:2018-05-25 Published:2018-05-25
  • Supported by:
    National Natural Science Foundation of China(No. 61673142,51275136)

摘要: 针对行星齿轮箱诊断过程复杂和诊断结果准确率低的问题,提出了一种基于流向图的行星齿轮箱故障诊断方法。该方法通过流向图构建算法直观地表示行星齿轮箱的故障诊断知识,利用流向图约简算法删除不必要的征兆属性节点,以简洁的形式表示属性之间的因果关系,利用流向图分类决策算法确定待诊实例的故障类型。仿真和实验结果证明了该方法的准确性和直观性,为行星齿轮箱的故障诊断提供了一种新颖的解决思路。

关键词: 流向图, 行星齿轮箱, 故障诊断, 约简, 分类决策

Abstract: Aimed at the problems of complex diagnosis processes of planetary gearboxes and low accuracy of diagnosis results, a fault diagnosis method of planetary gearboxes was proposed based on flow graph.In this method, a construction algorithm of flow graph was utilized to intuitively represent the fault diagnosis knowledges of planetary gearboxes.Then, a reduction algorithm of flow graph was applied to removing unnecessary condition attribute nodes.The consequent relationship among attributes was represented in the simplest manner.Finally, a classification decision algorithm of flow graph was employed to determine fault types of test samples.The simulation and experimental results confirm the accuracy and intuitiveness of this method, which provide a novel way for fault diagnosis of planetary gearboxes.

Key words: flow graph, planetary gearbox, fault diagnosis, reduction, classification decision

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