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

机译:液压缸漏失效模式识别信息融合方法研究

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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.
机译:液压缸是液压系统中的重要执行器,其泄漏对液压系统的性能有很大影响。 因此,研究液压缸泄漏故障的准确识别对于尽快消除泄漏故障非常重要。 基于故障机制,本文提出了一种基于位移信号和压力信号融合的液压缸故障诊断方法。 BP神经网络和DS证据理论分别用于故障模式识别。 通过研究,发现两种方法可以提高液压缸漏失效模式的识别精度。

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