Open AccessPrediction of magnitude data of multi-channel vibration on a vehicle platform environment
Author(s) -
Yu Zhu,
Chengzhang Wang,
Jie He,
Jiameng Li,
Shuai Wu,
Di-Fan Li
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1043/3/032058
Subject(s) - vibration , range (aeronautics) , magnitude (astronomy) , root mean square , acoustics , structural engineering , key (lock) , engineering , mean squared error , computer science , mathematics , physics , statistics , aerospace engineering , electrical engineering , astronomy , computer security
The vibration prediction model of the key vibration source points of a vehicle platform is studied. Starting from the analysis of the factors affecting the vibration response and the correlation analysis, the key factors affecting the vibration response of the same vehicle structure are sorted out. The vibration prediction model of the key vibration source points is established by using neural network, and using the measured data to verify the accuracy of the vibration prediction model of the cabin section I, cabin II and cabin III of the platform. The results show that in the frequency range of 1∼500Hz, the maximum error of root mean square of cabin I is 2.75dB, that of cabin II is 2.3dB, and that of cabin II is 2.97dB.