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A Novel Method of Fault Detection for Solenoid Valves Based on Vibration Signal Measurement

机译:基于振动信号测量的电磁阀故障检测新方法

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摘要

Solenoid valves are vital pieces of equipment which have been widely used in a variety of industries. Fault detection methods of solenoid valves play important role for improving their reliability and maintenance efficiency due to their high failure rates in the field. Therefore, a novel method of fault detection for solenoid valves based on vibration signal measurement is proposed in this paper. The vibration sensor is place on the top of the solenoid valve and the vibration signal is collected by Labview SignalExpress system. The amplitude of the signal is extracted by denoising algorithm based on Wavelet and analyzed to detect the working state with the help of health index. The method is not interfered by the power supply system, and the method enhance the ability to resist interference. Experimental platform was set up to validate the proposed method by injecting faults into the solenoid valve. Experimental results show that the method proposed can provide not only indications of whether or not the valve is functioning, but also the information of how well the valve is functioning, thus empowering condition-based maintenance operations.
机译:电磁阀是至关重要的设备,已广泛应用于各种行业。电磁阀的故障检测方法由于其高故障率而在提高其可靠性和维护效率方面起着重要作用。因此,本文提出了一种基于振动信号测量的电磁阀故障检测新方法。振动传感器位于电磁阀的顶部,振动信号由Labview SignalExpress系统收集。通过基于小波的去噪算法提取信号幅度,并借助健康指数进行分析以检测工作状态。该方法不受电源系统的干扰,并且该方法增强了抵抗干扰的能力。建立了实验平台,通过将故障注入电磁阀来验证所提出的方法。实验结果表明,所提出的方法不仅可以提供阀门是否运行的指示,还可以提供阀门运行状况的信息,从而使基于状态的维护操作成为可能。

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