NEURAL NETWORK PREDICTION FOR RESPONSES OF RANDOM VIBRATION ENVIRONMENT TESTS

Vibration test is one of the very importnt environmental tests used for calibrating large and complex products in engineering fields,such as,aeronautics,astronautics and mechanical engineering.It is often difficult to complete a perfect vibration survey with several limited vibration tests.An artificial neural network method is developed for modeling the input-output measurement data obtained from a random vibration test.The established neural network model is used to predict the responses of another random vibration tests.Two random vibration environment tests of a combined structure are investigated.The power spectral density(PSD) and the root mean square(RMS) for the vibration responses of the combined structure are analyzed from both the predicted results and the measured results.The results show that the proposed method is feasible and effective.This method is particularly applicable to large and complex structures under random vibration environment test.