Intelligent Fault Diagnosis Methodology of Hydraulic Traveling System for Construction Machinery
This paper established a simulation platform of intelligent fault diagnosis of traveling hydraulic system for multiaxle driving construction machinery using AMESim software. The corresponding parameter variations under the fault condition can be simulated by changing the parameters of related components in the simulation model, then the system response while the fault can be calculated so that fault sample data can be generated to train the Neural Network. Based on MATLAB, the fault diagnosis process was realized and the knowledge base was established. The simulation results illustrates that this method has the better precision, and can be used to realize the intelligent fault diagnose of traveling hydraulic system for construction machinery.
AMESim Neural Network construction machinery traveling hydraulic system fault diagnosis
Yunhua Li Xiaogang Feng Liman Yang
College of Automation Science and Electrical EngineeringBeihang UniversityBeijing, China College of Automation Science and Electrical Engineering Beihang University Beijing, China
国际会议
IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)
北京
英文
139-144
2012-07-25（万方平台首次上网日期，不代表论文的发表时间）