Research on Fault Diagnosis of Valve Remote Transmission Mechanism in Nuclear Power Plant Based on Wavelet Packet Energy Entropy-BP Neural Network
The valve remote transmission mechanism of nuclear power plant operates under harsh conditions for a long time.When a fault occurs,the key valves in the nuclear power plant cannot be opened and closed normally,which will lead to economic losses caused by equipment shutdown and maintenance.Aiming at this problem,this paper proposes a fault diagnosis method of valve remote transmission mechanism based on wavelet packet energy entropy-BP neural network.Based on the prototype of valve remote transmission mechanism,a LabWindows/CVI vibration signal acquisition test platform is built.The wavelet packet algorithm is used to decompose and reconstruct the fault signal,and the wavelet packet energy entropy is extracted to construct the fault feature vector.After input into the BP neural network training,the feasibility and effectiveness of the method are verified by MATLAB simulation.
Valve remote transmission mechanismWavelet packet energy entropyBP neural networkMATLABFault diagnosis
万方数据
维普
