Search Results - "Yao, Dechen"

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

“…The rolling bearing is an important part of the train's running gear, and its operating state determines the safety during the running of the train. Therefore,…”
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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 by Yao, Dechen, Liu, Hengchang, Yang, Jianwei, Zhang, Jiao

“…With the rapid development of urban rail transit in recent years, it becomes necessary to ensure the operation safety of train wheelset axle boxes. Aiming at…”
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A Study on Railway Surface Defects Detection Based on Machine Vision by Bai, Tangbo, Gao, Jialin, Yang, Jianwei, Yao, Dechen

“…The detection of rail surface defects is an important tool to ensure the safe operation of rail transit. Due to the complex diversity of track surface defect…”
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An Adaptive Parameterized Domain Mapping Method and Its Application in Wheel-Rail Coupled Fault Diagnosis for Rail Vehicles by Xu, Zihang, Yang, Jianwei, Yao, Dechen, Wang, Jinhai, Wei, Minghui

“…The rapid development of cities in recent years has increased the operational pressure of rail vehicles, and due to the characteristics of rail vehicles,…”
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Dynamic Characteristics of a Traction Drive System in High-Speed Train Based on Electromechanical Coupling Modeling under Variable Conditions by Zhang, Ka, Yang, Jianwei, Liu, Changdong, Wang, Jinhai, Yao, Dechen

“…The traction drive system of a high-speed train has a vital role in the safe and efficient operation of the train. This paper established an electromechanical…”
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A New Method of Wheelset Bearing Fault Diagnosis by Sun, Runtao, Yang, Jianwei, Yao, Dechen, Wang, Jinhai

“…During the movement of rail trains, trains are often subjected to harsh operating conditions such as variable speed and heavy loads. It is therefore vital to…”
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Information Fusion of Infrared Images and Vibration Signals for Coupling Fault Diagnosis of Rotating Machinery by Bai, Tangbo, Yang, Jianwei, Yao, Dechen, Wang, Ying

“…Rotating machinery has a complicated structure and interaction of multiple components, which usually results in coupling faults with complex dynamic…”
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Railway Fastener Fault Diagnosis Based on Generative Adversarial Network and Residual Network Model by Liu, Hengchang, Yang, Jianwei, Sun, Qiang, Yao, Dechen, Zhang, Jiao

“…The present work aimed at the problems of less negative samples and more positive samples in rail fastener fault diagnosis and low detection accuracy of heavy…”
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Subway Gearbox Fault Diagnosis Algorithm Based on Adaptive Spline Impact Suppression by Hu, Zhongshuo, Yang, Jianwei, Yao, Dechen, Wang, Jinhai, Bai, Yongliang

“…In the signal processing of real subway vehicles, impacts between wheelsets and rail joint gaps have significant negative effects on the spectrum. This…”
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Research on Prediction of Metro Wheel Wear Based on Integrated Data-Model-Driven Approach by Zhu, Aihua, Yang, Si, Li, Qiang, Yang, Jianwei, Fu, Caozheng, Zhang, Jiao, Yao, Dechen

“…Existing research on wheel wear prediction uses either data-driven or model-based methods. However, due to the high reliability and limited sample…”
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Railway rolling bearing fault diagnosis based on multi-scale intrinsic mode function permutation entropy and extreme learning machine classifier by Yao, Dechen, Yang, Jianwei, Bai, Yongliang, Cheng, Xiaoqing

“…The application of the multi-scale intrinsic mode function permutation entropy and extreme learning machine classifiers in railway rolling bearing fault…”
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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 by Yang, Jianwei, Zhao, Chunqing, Wang, Jinhai, Yao, Dechen, Bai, Yongliang

“…In order to solve the reliability assessment of braking system component of high-speed electric multiple units, this article, based on two-parameter…”
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RETRACTED: The reliability estimation for the braking system of high-speed electric multiple units based on Bayes and GO method by Yang, Jianwei, Zhao, Chunqing, Zhu, Aihua, Yao, Dechen, Wu, Huijie

“…At the request of the Authors, the following article has been retracted. Yang, Jianwei, Zhao, Chunqing, Zhu, Aihua, Yao, Dechen and Wu, Huijie (2016) The…”
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Remaining useful life prediction of roller bearings based on improved 1D-CNN and simple recurrent unit by Yao, Dechen, Li, Boyang, Liu, Hengchang, Yang, Jianwei, Jia, Limin

“…•Combined with CNN and RNN, a RUL method of roller bearing is proposed.•Feature extraction using 1D-CNN instead of manual method.•GMP layer is introduced to…”
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A lightweight neural network with strong robustness for bearing fault diagnosis by Yao, Dechen, Liu, Hengchang, Yang, Jianwei, Li, Xi

“…•SIRCNN uses depthwise separable convolution realize lightweight model design.•SIRCNN has good performance in terms of diagnosis speed, model size and…”
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Intelligent Fault Diagnosis of Rolling Bearings Using Efficient and Lightweight ResNet Networks Based on an Attention Mechanism (September 2022) by Chang, Meng, Yao, Dechen, Yang, Jianwei

“…Focusing on the problems of complex structure and low feature extraction efficiency that exist in some traditional neural network algorithms, an improved…”
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Harmonic Wavelet Envelope Method Applied in Railway Bearing Fault Diagnosis by Dechen Yao, Limin Jia, Min Li, Yong Qin, Wei Peng, Guangwu Liu, Shaohuang Pang

“…The working state of rolling bearing has an important influence on the operation of trains, directly related to the safety of train passengers. Therefore, it…”
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Intelligent Framework for Bearing Fault Diagnosis in High-Noise Environments: A Location-Focused Soft Threshold Denoising Approach by Yao, Dechen, Zhou, Tao, Yang, Jianwei

“…In recent years, numerous bearing fault diagnosis systems tailored for special scenarios have emerged. However, when dealing with high-noise vibration data in…”
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Fault Diagnosis and Classification in Urban Rail Vehicle Auxiliary Inverter Based on Wavelet Packet and Elman Neural Network by Yao, Dechen, Jia, Limin, Ji, Changxu, Qin, Yong, Liu, Guangwu, Zhu, Shiyou

“…In this paper we present a novel method in fault recognition and classification in urban rail vehicle auxiliary inverter based on wavelet packet and Elman…”
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An optimized railway fastener detection method based on modified Faster R-CNN by Bai, Tangbo, Yang, Jianwei, Xu, Guiyang, Yao, Dechen

“…•An optimized RPN network of Faster R-CNN model is proposed for fastener detection.•The optimization reduces invalid anchor box and improves efficiency and…”
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