A Fault Diagnosis Monitoring System of Reciprocating Pump

This paper develops the intelligent fault diagnosis system of reciprocating pump. The system takes fault diagnosis system as the core, using the Visual c++ as the software language. The software controls the data acquisition of pressure, position and flow signal synchronously. The different fault types corresponding signal curve is also different, so the main fault signal is pressure signal, flow signal is auxiliary signal. Then use the wavelet neural network which based on artificial intelligence theory and wavelet packet decomposition technique for data processing, preservation and fault diagnosis. The diagnosis results from wavelet neural network show that the intelligent fault diagnosis system of reciprocating pump has fast speed and high accuracy.