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ORCIDMinghang Zhao
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2020 – today
- 2024
[j23]Dan Liu, Shisheng Zhong
, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu:
Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines. Expert Syst. Appl. 238(Part F): 122023 (2024)- [j22]Yan Zhang, Haifeng Zhang, Qingqing Huang, Yan Han, Minghang Zhao:
DsP-YOLO: An anchor-free network with DsPAN for small object detection of multiscale defects. Expert Syst. Appl. 241: 122669 (2024) - [j21]Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu:
HOOST: A novel hyperplane-oriented over-sampling technique for imbalanced fault detection of aero-engines. Knowl. Based Syst. 300: 112142 (2024) - [j20]Song Fu, Lin Lin, Yue Wang, Feng Guo, Minghang Zhao, Baihong Zhong, Shisheng Zhong:
MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction. Reliab. Eng. Syst. Saf. 241: 109696 (2024) - [j19]Song Fu, Limin Zou, Yue Wang, Lin Lin, Yifan Lu, Minghang Zhao, Feng Guo, Shisheng Zhong:
DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications. Reliab. Eng. Syst. Saf. 249: 110246 (2024) - [j18]Fengfei Huang, Kai Zhang, Qing Zheng, Zhixuan Li, Xuwei Lai, Guofu Ding, Minghang Zhao:
An Open-Set Method for Diagnosing Unknown Bogie Bearing Faults Using a Hybrid Open Score Relation Network. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j17]Guohao Qin, Kai Zhang, Xuwei Lai, Qing Zheng, Guofu Ding, Minghang Zhao, Yuehong Zhang:
An Adaptive Symmetric Loss in Dynamic Wide-Kernel ResNet for Rotating Machinery Fault Diagnosis Under Noisy Labels. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - 2023
- [j16]Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu:
Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines. Comput. Ind. 151: 103972 (2023) - [j15]Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu:
CSiamese: a novel semi-supervised anomaly detection framework for gas turbines via reconstruction similarity. Neural Comput. Appl. 35(22): 16403-16427 (2023) - [j14]Tao Zuo, Kai Zhang, Qing Zheng, Xianxin Li, Zhixuan Li, Guofu Ding, Minghang Zhao:
A hybrid attention-based multi-wavelet coefficient fusion method in RUL prognosis of rolling bearings. Reliab. Eng. Syst. Saf. 237: 109337 (2023) - 2022
- [j13]Minghang Zhao, Xuyun Fu, Yongjian Zhang, Linghui Meng, Baoping Tang:
Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks. Adv. Eng. Informatics 51: 101535 (2022) - [j12]Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu:
Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network. Adv. Eng. Informatics 54: 101725 (2022) - [j11]Linghui Meng, Minghang Zhao, Zhiquan Cui, Xingming Zhang, Shisheng Zhong:
Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps. Comput. Ind. 134: 103557 (2022) - [j10]Shisheng Zhong, Dan Liu, Lin Lin, Minghang Zhao, Xuyun Fu, Feng Guo:
CAE-WANN: A novel anomaly detection method for gas turbines via search space extension. Qual. Reliab. Eng. Int. 38(6): 3116-3134 (2022) - [j9]Minghang Zhao, Xuyun Fu, Yongjian Zhang, Linghui Meng, Shisheng Zhong:
Data Augmentation via Randomized Wavelet Expansion and Its Application in Few-Shot Fault Diagnosis of Aviation Hydraulic Pumps. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j8]Song Fu, Shisheng Zhong, Lin Lin, Minghang Zhao:
A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7114-7125 (2022) - 2021
- [j7]Song Fu, Shisheng Zhong, Lin Lin, Minghang Zhao:
A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection. Eng. Appl. Artif. Intell. 101: 104199 (2021) - [j6]Song Fu, Yongjian Zhang, Lin Lin, Minghang Zhao, Shi-sheng Zhong:
Deep residual LSTM with domain-invariance for remaining useful life prediction across domains. Reliab. Eng. Syst. Saf. 216: 108012 (2021) - [j5]Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Shaojiang Dong, Michael G. Pecht:
Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis. IEEE Trans. Ind. Electron. 68(3): 2587-2597 (2021) - [j4]Biao Li, Baoping Tang, Lei Deng, Minghang Zhao:
Self-Attention ConvLSTM and Its Application in RUL Prediction of Rolling Bearings. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - 2020
- [j3]Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Michael G. Pecht:
Deep Residual Shrinkage Networks for Fault Diagnosis. IEEE Trans. Ind. Informatics 16(7): 4681-4690 (2020)
2010 – 2019
- 2019
- [j2]Minghang Zhao, Myeongsu Kang, Baoping Tang, Michael G. Pecht:
Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis. IEEE Trans. Ind. Electron. 66(6): 4696-4706 (2019) - 2018
- [j1]Minghang Zhao, Myeongsu Kang, Baoping Tang, Michael G. Pecht:
Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes. IEEE Trans. Ind. Electron. 65(5): 4290-4300 (2018)
Coauthor Index
aka: Shi-sheng Zhong
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