Intelligent fault diagnosis for rail transit switch machine based on adaptive feature selection and improved LightGBM
Author:
Publisher
Elsevier BV
Subject
General Engineering,General Materials Science
Reference43 articles.
1. Fault diagnosis of flywheel bearing based on parameter optimization variational mode decomposition energy entropy and deep learning;He;Energy,2022
2. Influences of friction self-excited vibration characteristics of various types of high-speed trains on rail corrugations in braking sections;Bao;Eng. Fail. Anal.,2022
3. Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN;Jin;Eng. Appl. Artif. Intel.,2022
4. Contactless Fault Diagnosis for Railway Point Machines Based on Multi-Scale Fractional Wavelet Packet Energy Entropy and Synchronous Optimization Strategy;Sun;IEEE Trans. Veh. Technol.,2022
5. F. Wang, T. Tang, J. Yin, Y. Li, F. Ren, A signal segmentation and feature fusion based RUL prediction method for railway point system, 21st International Conference on Intelligent Transportation Systems (ITSC). (2018) 2303–2308.
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