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ORCIDHanting Zhou
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Journal Articles
- 2024
[j10]Hanting Zhou, Wenhe Chen, Jing Liu, Longsheng Cheng
, Min Xia:
Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network. J. Intell. Manuf. 35(7): 3523-3542 (2024)- [j9]Hanting Zhou, Wenhe Chen, Peirui Qiao, Longsheng Cheng, Min Xia:
Reliable fault diagnosis using evidential aggregated residual network under varying working conditions and noise interference. Knowl. Based Syst. 286: 111407 (2024) - [j8]Peirui Qiao, Yizhong Ma, Ming Luo, Jingyuan Shen, Hanting Zhou:
Reliability modeling and warranty optimization for products with self-healing under a dynamic shock environment. Reliab. Eng. Syst. Saf. 249: 110174 (2024) - 2023
- [j7]Wenhe Chen, Hanting Zhou, Longsheng Cheng, Jing Liu, Min Xia:
Condition monitoring of wind turbine using novel deep learning method and dynamic kernel principal components Mahalanobis distance. Eng. Appl. Artif. Intell. 125: 106757 (2023) - [j6]Hanting Zhou, Wenhe Chen, Changqing Shen, Longsheng Cheng, Min Xia:
Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN. Int. J. Prod. Res. 61(23): 8252-8264 (2023) - [j5]Hanting Zhou, Wen-He Chen, Longsheng Cheng, Jing Liu, Min Xia:
Trustworthy Fault Diagnosis With Uncertainty Estimation Through Evidential Convolutional Neural Networks. IEEE Trans. Ind. Informatics 19(11): 10842-10852 (2023) - [j4]Wenhe Chen, Hanting Zhou, Longsheng Cheng, Min Xia:
Condition Monitoring and Anomaly Detection of Wind Turbines Using Temporal Convolutional Informer and Robust Dynamic Mahalanobis Distance. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [j3]Hanting Zhou, Wenhe Chen, Longsheng Cheng, Darren Williams, Clarence W. de Silva, Min Xia:
Reliable and Intelligent Fault Diagnosis With Evidential VGG Neural Networks. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - 2022
- [j2]Wen-He Chen, Longsheng Cheng, Zhi-Peng Chang, Hanting Zhou, Qi-Feng Yao, Zhai-Ming Peng, Li-Qun Fu, Zong-Xiang Chen:
Interval Prediction of Photovoltaic Power Using Improved NARX Network and Density Peak Clustering Based on Kernel Mahalanobis Distance. Complex. 2022: 8169510:1-8169510:22 (2022) - [j1]Zhai-Ming Peng, Longsheng Cheng, Qi-Feng Yao, Hanting Zhou:
Mahalanobis-Taguchi system: a systematic review from theory to application. J. Control. Decis. 9(2): 139-151 (2022)
Coauthor Index
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