Search Results - "Chen, Zhuyun"

Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network by Chen, Zhuyun, Li, Weihua

“…To assess health conditions of rotating machinery efficiently, multiple accelerometers are mounted on different locations to acquire a variety of possible…”
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Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine by Chen, Zhuyun, Gryllias, Konstantinos, Li, Weihua

“…•A novel diagnosis model, integrating Convolutional Neural Networks and Extreme Learning Machine is proposed.•Weight orthogonality constraint is employed in…”
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Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis by Liao, Yixiao, Huang, Ruyi, Li, Jipu, Chen, Zhuyun, Li, Weihua

“…In machinery fault diagnosis, labeled data are always difficult or even impossible to obtain. Transfer learning can leverage related fault diagnosis knowledge…”
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Pink1/Parkin-mediated mitophagy play a protective role in cisplatin induced renal tubular epithelial cells injury by Zhao, Chuanyan, Chen, Zhuyun, Xu, Xueqiang, An, Xiaofei, Duan, Suyan, Huang, Zhimin, Zhang, Chengning, Wu, Lin, Zhang, Bo, Zhang, Aihua, Xing, Changying, Yuan, Yanggang

“…Cisplatin often causes acute kidney injury (AKI) in the treatment of a wide variety of malignancies. Mitochondrial dysfunction is one of the main reasons for…”
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Outage Performance of NOMA-Based Cognitive Hybrid Satellite-Terrestrial Overlay Networks by Amplify-and-Forward Protocols by Zhang, Xiaokai, Zhang, Bangning, An, Kang, Chen, Zhuyun, Xie, Silin, Wang, Heng, Wang, Long, Guo, Daoxing

“…In this paper, we investigate the outage probability (OP) performance of amplify-and-forward (AF) cognitive hybrid satellite-terrestrial overlay networks…”
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Long-Short-Term-Memory-Based Deep Stacked Sequence-to-Sequence Autoencoder for Health Prediction of Industrial Workers in Closed Environments Based on Wearable Devices by Xu, Weidong, He, Jingke, Li, Weihua, He, Yi, Wan, Haiyang, Qin, Wu, Chen, Zhuyun

“…To reduce the risks and challenges faced by frontline workers in confined workspaces, accurate real-time health monitoring of their vital signs is essential…”
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Auction-Based Secondary Relay Selection on Overlay Spectrum Sharing in Hybrid Satellite-Terrestrial Sensor Networks by Zhang, Xiaokai, Zhang, Bangning, An, Kang, Chen, Zhuyun, Guo, Daoxing

“…In this paper, we investigate the auction-based secondary relay selection on overlay spectrum sharing in hybrid satellite-terrestrial sensor networks (HSTSNs),…”
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Correction to: Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis by Liao, Yixiao, Huang, Ruyi, Li, Jipu, Chen, Zhuyun, Li, Weihua

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Clustering Federated Learning for Bearing Fault Diagnosis in Aerospace Applications with a Self-Attention Mechanism by Li, Weihua, Yang, Wansheng, Jin, Gang, Chen, Junbin, Li, Jipu, Huang, Ruyi, Chen, Zhuyun

“…Bearings, as the key mechanical components of rotary machinery, are widely used in modern aerospace equipment, such as helicopters and aero-engines…”
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A Novel Impact Feature Extraction Method Based on EMD and Sparse Decomposition for Gear Local Fault Diagnosis by Liu, Zhongze, Ding, Kang, Lin, Huibin, He, Guolin, Du, Canyi, Chen, Zhuyun

“…Sparse decomposition has been widely used in gear local fault diagnosis due to its outstanding performance in feature extraction. The extraction results depend…”
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Improved Vibration Signal Models of Localized Faults of Sun Gears to Predict Modulation by Yang, Xiaoqing, Yang, Gang, Zeng, Qiang, Du, Canyi, Zeng, Xiangkun, Yu, Feifei, Chen, Zhuyun

“…The vibration modulation of the localized faults of sun gears is complicated because of the structure and motion features of planetary gearboxes. It is…”
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Optimized Power Control Scheme for Global Throughput of Cognitive Satellite-Terrestrial Networks Based on Non-Cooperative Game by Chen, Zhuyun, Guo, Daoxing, Ding, Guoru, Tong, Xinhai, Wang, Heng, Zhang, Xiaokai

“…In this paper, we investigate the power control problem for spectrum sharing in the cognitive satellite-terrestrial networks (CSTNs), aiming to maximize the…”
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Efficient and Fair Resource Allocation Scheme for Cognitive Satellite-Terrestrial Networks by Chen, Zhuyun, Guo, Daoxing, An, Kang, Zhang, Bangning, Zhang, Xiaokai, Zhao, Bing

“…In this paper, we consider the resource allocation problem in uplink cognitive satellite-terrestrial networks, where the cognitive satellite users reuse the…”
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Intelligent fault diagnosis of rotating machinery using lightweight network with modified tree‐structured parzen estimators by Liang, Jingkang, Liao, Yixiao, Chen, Zhuyun, Lin, Huibin, Jin, Gang, Gryllias, Konstantinos, Li, Weihua

“…Deep learning‐based methods have been widely used in the field of rotating machinery fault diagnosis. It is of practical significance to improve the…”
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Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network by Chen, Zhuyun, Gryllias, Konstantinos, Li, Weihua

“…Deep neural networks present very competitive results in mechanical fault diagnosis. However, training deep models require high computing power while the…”
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A Novel Weighted Adversarial Transfer Network for Partial Domain Fault Diagnosis of Machinery by Li, Weihua, Chen, Zhuyun, He, Guolin

“…Recently, domain adaptation techniques have achieved great attention in solving domain-shift problems of mechanical fault diagnosis. However, existing methods…”
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A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks by Chen, Zhuyun, Mauricio, Alexandre, Li, Weihua, Gryllias, Konstantinos

“…•A novel scheme, combining Cyclic Spectral Coherence (CSCoh) and Convolutional Neural Networks (CNN), is proposed for rolling element bearing fault diagnosis,…”
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A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges by Li, Weihua, Huang, Ruyi, Li, Jipu, Liao, Yixiao, Chen, Zhuyun, He, Guolin, Yan, Ruqiang, Gryllias, Konstantinos

“…Deep Transfer Learning (DTL) is a new paradigm of machine learning, which can not only leverage the advantages of Deep Learning (DL) in feature representation,…”
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Deep Semisupervised Domain Generalization Network for Rotary Machinery Fault Diagnosis Under Variable Speed by Liao, Yixiao, Huang, Ruyi, Li, Jipu, Chen, Zhuyun, Li, Weihua

“…In recent years, deep learning has become a promising tool for rotary machinery fault diagnosis, but it works well only when testing samples and training…”
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Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective by Chen, Jiaxian, Huang, Ruyi, Chen, Zhuyun, Mao, Wentao, Li, Weihua

“…Accurate remaining useful life (RUL) prediction for rolling bearings encounters many challenges such as complex degradation processes, varying working…”
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