Lightweight Convolutional Neural Network and Its Application in Rolling Bearing Fault Diagnosis under Variable Working Conditions von Liu, Hengchang, Yao, Dechen, Yang, Jianwei, Li, Xi

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Implementation of a novel algorithm of wheelset and axle box concurrent fault identification based on an efficient neural network with the attention mechanism von Yao, Dechen, Liu, Hengchang, Yang, Jianwei, Zhang, Jiao

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A Study on Railway Surface Defects Detection Based on Machine Vision von Bai, Tangbo, Gao, Jialin, Yang, Jianwei, Yao, Dechen

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An Adaptive Parameterized Domain Mapping Method and Its Application in Wheel-Rail Coupled Fault Diagnosis for Rail Vehicles von Xu, Zihang, Yang, Jianwei, Yao, Dechen, Wang, Jinhai, Wei, Minghui

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A comparative study of the vibration characteristics of railway vehicle axlebox bearings with inner/outer race faults von Wang, Jinhai, Yang, Jianwei, Bai, Yongliang, Zhao, Yue, He, Yuping, Yao, Dechen

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Dynamic Characteristics of a Traction Drive System in High-Speed Train Based on Electromechanical Coupling Modeling under Variable Conditions von Zhang, Ka, Yang, Jianwei, Liu, Changdong, Wang, Jinhai, Yao, Dechen

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A New Method of Wheelset Bearing Fault Diagnosis von Sun, Runtao, Yang, Jianwei, Yao, Dechen, Wang, Jinhai

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Information Fusion of Infrared Images and Vibration Signals for Coupling Fault Diagnosis of Rotating Machinery von Bai, Tangbo, Yang, Jianwei, Yao, Dechen, Wang, Ying

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Subway Gearbox Fault Diagnosis Algorithm Based on Adaptive Spline Impact Suppression von Hu, Zhongshuo, Yang, Jianwei, Yao, Dechen, Wang, Jinhai, Bai, Yongliang

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Railway Fastener Fault Diagnosis Based on Generative Adversarial Network and Residual Network Model von Liu, Hengchang, Yang, Jianwei, Sun, Qiang, Yao, Dechen, Zhang, Jiao

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Reliability Analysis of a Metro Braking Control System based on Fuzzy GO Method von Zheng, Li, Jianwei, Yang, Dechen, Yao, Jinhai, Wang, Qicheng, Pang

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Research on Prediction of Metro Wheel Wear Based on Integrated Data-Model-Driven Approach von Zhu, Aihua, Yang, Si, Li, Qiang, Yang, Jianwei, Fu, Caozheng, Zhang, Jiao, Yao, Dechen

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Railway rolling bearing fault diagnosis based on multi-scale intrinsic mode function permutation entropy and extreme learning machine classifier von Yao, Dechen, Yang, Jianwei, Bai, Yongliang, Cheng, Xiaoqing

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Remaining useful life prediction of roller bearings based on improved 1D-CNN and simple recurrent unit von Yao, Dechen, Li, Boyang, Liu, Hengchang, Yang, Jianwei, Jia, Limin

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Intelligent Fault Diagnosis of Rolling Bearings Using Efficient and Lightweight ResNet Networks Based on an Attention Mechanism (September 2022) von Chang, Meng, Yao, Dechen, Yang, Jianwei

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A lightweight neural network with strong robustness for bearing fault diagnosis von Yao, Dechen, Liu, Hengchang, Yang, Jianwei, Li, Xi

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Intelligent Framework for Bearing Fault Diagnosis in High-Noise Environments: A Location-Focused Soft Threshold Denoising Approach von Yao, Dechen, Zhou, Tao, Yang, Jianwei

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An optimized railway fastener detection method based on modified Faster R-CNN von Bai, Tangbo, Yang, Jianwei, Xu, Guiyang, Yao, Dechen

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Railway Rolling Bearing Fault Diagnosis Based on Muti-scale IMF Permutation Entropy and SA-SVM Classifier von YAO, Dechen

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The reliability assessment of the electromagnetic valve of high-speed electric multiple units braking system based on two-parameter exponential distribution von Yang, Jianwei, Zhao, Chunqing, Wang, Jinhai, Yao, Dechen, Bai, Yongliang

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