Abstract
Toward the situation that the traditional inductive method is not suitable for super-Gaussian data, this paper presents an inductive method of super-Gaussian vibration data of locomotive equipment according to the actual measured data of Lanxin line and the actual operation situation. By verifying the measured vibration data, it is found that the data shows a steady random supergrid characteristic. The test conditions of body installation equipment of locomotive under super-Gaussian random vibration are put forward by analyzing the inductive values and the kurtosis value, which solves the problem of using the measured vibration data to compute the simulation conditions of the super-Gaussian random vibration environment.
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Acknowledgements
This work was supported in part by the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (2015BAG14B01).
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Wang, P., Deng, H., Xiao, L., Liu, G. (2018). Super-Gaussian Random Vibration Test Inductive Method Based on Measured Data. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 483. Springer, Singapore. https://doi.org/10.1007/978-981-10-7989-4_49
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DOI: https://doi.org/10.1007/978-981-10-7989-4_49
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