For the key components of the large reciprocating high pressure diaphragm pump

the wear breakdown of one way valve usually suffers from strong noise pollution and it is difficult to detect the fault. Starting with the analysis of the vibration signal of the check valve

a method of single directional valve fault diagnosis with the correlation coefficient SVD enhanced random resonance is proposed. In this method

the singular value decomposition (SVD) of the check valve vibration signal with noise is first carried out

then the component signal which contains the most information of the fault features is selected by the correlation coefficient method

and then input into the stochastic resonance system

the purpose of detecting the wear breakdown fault of the check valve under the strong noise background is achieved. The simulation results show that the proposed method solves the problem of difficult fault feature extraction under the strong noise background

and the measured data show that the method can effectively detect the wear breakdown fault of the check valve.