Prediction of engine radiated noise based on EMD and KNN
Aiming at the problem of radiated noise prediction based on single-channel vibration of engine surface structure,this paper proposes a prediction algorithm combining Empirical Mode Decomposition(EMD)and K-Nearest neighbor(KNN).EMD decomposes a single vibration time domain signal into multiple Intrinic Mode Function(IMF)signals,takes each IMF signal as a feature of the vibration data set,and finally establishes a radiated noise prediction model with the new vibration data set as input.The experimental results show that the explainable variance score of the prediction model based on the algorithm is 0.97,and the small prediction error is small.
engineradiated noiseempirical mode decompositionKNN predictive model
NETL
NSTL
万方数据
维普
