The Research on Information Fusion Methods of Leakage Failure Mode Identification of Hydraulic Cylinder

Abstract:

The hydraulic cylinder is an important actuator in hydraulic system, and its leakage has a great influence on the performance of the hydraulic system. Therefore, researching the accurate identification of hydraulic cylinder leakage fault is very important to eliminate leakage fault as soon as possible. Based on the fault mechanism, the paper proposes a fault diagnosis method for hydraulic cylinder based on displacement signal and pressure signal fusion. BP neural network and DS evidence theory are respectively used for fault mode identification. Through the research, it is found that combining the two methods can improve the identification accuracy of hydraulic cylinder leakage failure mode.

• Periodical: Applied Mechanics and Materials (Volume 364)
• Pages: 61-65
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.364.61
• Online since: August 2013
• Authors: Xiu Xu Zhao, Chuan Li Zhou, Zhe Min Hu, Wei Bin Zhang
• Keywords: BP Neural Network (BPNN), DS Evidence Theory, Hydraulic Cylinder, Information Fusion, Leakage

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