Application of Hydraulic System in Condition Measurement and Fault Diagnose Based on of Information Fusion

摘要：

A method for fault diagnoses of hydraulic system for construction machinery and equipment based on the information fusion logic theory is put forward. The theory of the method is described. It can get the data of hydraulic system for construction machinery and equipment by various type sensors. The model of hydraulic system for construction machinery and equipment condition measurement and fault diagnoses is set up by using the state data as learning samples. And the hydraulic system for construction machinery and equipment state is identified by the model. The results after tested show that this method has the advantages that various tested information of fault symptoms can be made full use of to diagnose accurately faults of the hydraulic system for construction machinery and equipment. It can improve the veracity for diagnose the fault of hydraulic system.

关键词： information fusion fuzzy neural network condition measurement fault diagnosis

作者: LIANG Guihang MU Chunyan YU Jingnuo FENG Baofu

作者单位: school of traffic ludong university Yantai,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 86-89

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）