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Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder Journal article
Chen, Hao, Wang, Xian Bo, Yang, Zhi Xin, Li, Jia ming. Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder[J]. Expert Systems with Applications, 2024, 254, 124256.
Authors:  Chen, Hao;  Wang, Xian Bo;  Yang, Zhi Xin;  Li, Jia ming
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2024/07/04
Federated Learning  Intelligent Fault Diagnosis  Stacked Capsule Autoencoder  Wind Turbine  
Wind Turbine Fault Diagnosis for Class-Imbalance and Small-size Data based on Stacked Capsule Autoencoder Journal article
Wang, Xianbo, Chen, Hao, Zhao, Jing, Song, Chonghui, Zhang, Yongkang, Yang, Zhixin, Wong, Pak Kin. Wind Turbine Fault Diagnosis for Class-Imbalance and Small-size Data based on Stacked Capsule Autoencoder[J]. IEEE Transactions on Industrial Informatics, 2024, 20(11), 12694-12704.
Authors:  Wang, Xianbo;  Chen, Hao;  Zhao, Jing;  Song, Chonghui;  Zhang, Yongkang; et al.
Adobe PDF | Favorite | TC[WOS]:4 TC[Scopus]:5  IF:11.7/11.4 | Submit date：2024/08/25
Deep Learning  Fault Diagnosis  Feature Learning  Stacked Capsule Autoencoder (Scae)  Wind Turbine  
Collaborative monitoring of wind turbine performance based on probabilistic power curve comparison Journal article
Li, Yanting, Wang, Peng, Wu, Zhenyu, Su, Yan. Collaborative monitoring of wind turbine performance based on probabilistic power curve comparison[J]. Renewable Energy, 2024, 231, 120919.
Authors:  Li, Yanting;  Wang, Peng;  Wu, Zhenyu;  Su, Yan
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:9.0/8.1 | Submit date：2024/08/05
Collaborative Monitoring  Directional Hotelling T2control Chart  Probabilistic Power Curve  Wind Turbine Performance  
Adaptive short-term wind power forecasting with concept drifts Journal article
Li, Yanting, Wu, Zhenyu, Su, Yan. Adaptive short-term wind power forecasting with concept drifts[J]. Renewable Energy, 2023, 217, 119146.
Authors:  Li, Yanting;  Wu, Zhenyu;  Su, Yan
Favorite | TC[WOS]:10 TC[Scopus]:12  IF:9.0/8.1 | Submit date：2023/09/21
Adaptive Prediction  Concept Drift  Feature Extraction  Numerical Weather Prediction  Wind Power Forecasting  Wind Turbine  
A fault diagnosis method for wind turbines with limited labeled data based on balanced joint adaptive network Journal article
Zhang, Guangyao, Li, Yanting, Jiang, Wenbo, Shu, Lianjie. A fault diagnosis method for wind turbines with limited labeled data based on balanced joint adaptive network[J]. Neurocomputing, 2022, 481, 133-153.
Authors:  Zhang, Guangyao;  Li, Yanting;  Jiang, Wenbo;  Shu, Lianjie
Favorite | TC[WOS]:33 TC[Scopus]:36  IF:5.5/5.5 | Submit date：2022/05/04
Domain Adaptation  Fault Diagnosis  Lstm  Mmd  Scada  Transfer Learning  Wind Turbine  
Wind turbine fault diagnosis based on transfer learning and convolutional autoencoder with small-scale data Journal article
Li, Yanting, Jiang, Wenbo, Zhang, Guangyao, Shu, Lianjie. Wind turbine fault diagnosis based on transfer learning and convolutional autoencoder with small-scale data[J]. Renewable Energy, 2021, 171, 103-115.
Authors:  Li, Yanting;  Jiang, Wenbo;  Zhang, Guangyao;  Shu, Lianjie
Favorite | TC[WOS]:97 TC[Scopus]:114  IF:9.0/8.1 | Submit date：2021/12/08
Convolutional Autoencoder  Fault Diagnosis  Small-scale Data  Transfer Learning  Wind Turbine  
Fault Representations of Bearing Race Based on Grayscale Maps and CNN Networks Journal article
Luo, Zeyu, Wang, Xian Bo, Yang, Zhi Xin. Fault Representations of Bearing Race Based on Grayscale Maps and CNN Networks[J]. Mechanisms and Machine Science, 2021, 105, 61-68.
Authors:  Luo, Zeyu;  Wang, Xian Bo;  Yang, Zhi Xin
Favorite | TC[Scopus]:0 | Submit date：2022/05/13
Convolutional Neural Network  Fault Diagnosis  Synchronous Resampling  Time-frequency Representation  Variable Loads  Wind Turbine Generator  
Study on novel signal processing and simultaneous-fault diagnostic method for wind turbine Journal article
Wang, Xian Bo, Miao, Pu, Zhang, Kun, Zhang, Xiaoyuan, Wang, Jun. Study on novel signal processing and simultaneous-fault diagnostic method for wind turbine[J]. Transactions of the Institute of Measurement and Control, 2019, 41(14), 4100-4113.
Authors:  Wang, Xian Bo;  Miao, Pu;  Zhang, Kun;  Zhang, Xiaoyuan;  Wang, Jun
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:1.7/1.6 | Submit date：2022/05/17
Empirical Mode Decomposition  Extreme Learning Machines  Fault Diagnosis  Variational Mode Decomposition  Wind Turbine  
Novel paralleled extreme learning machine networks for fault diagnosis of wind turbine drivetrain Journal article
Wang, Xian-Bo, Yang, Zhi-Xin, Wong, Pak Kin, Deng, Chao. Novel paralleled extreme learning machine networks for fault diagnosis of wind turbine drivetrain[J]. Memetic Computing, 2019, 11(2), 127-142.
Authors:  Wang, Xian-Bo;  Yang, Zhi-Xin;  Wong, Pak Kin;  Deng, Chao
Favorite | TC[WOS]:12 TC[Scopus]:17  IF:3.3/3.5 | Submit date：2019/04/04
Fault Diagnosis  Vibration Analysis  Wind Turbine Drivetrain  Local Mean Decomposition  Multilayer Extreme Learning Machines  Wind Energy  
Wind turbine fault diagnosis based on Gaussian process classifiers applied to operational data Journal article
Yanting Li, Shujun Liu, Lianjie Shu. Wind turbine fault diagnosis based on Gaussian process classifiers applied to operational data[J]. Renewable Energy, 2019, 134, 357-366.
Authors:  Yanting Li;  Shujun Liu;  Lianjie Shu
Favorite | TC[WOS]:68 TC[Scopus]:76 | Submit date：2019/08/01
Conditional Monitoring  Gaussian Process Classification  Predictive Fault Diagnosis  Support Vector Machine  Wind Turbine