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.

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