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

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.