Minghang Zhao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Wavelet Coefficients

Fault Diagnosis

Highly Imbalanced

Top Venues

Reliab. Eng. Syst. Saf.

IEEE Trans. Instrum. Meas.

IEEE Trans. Ind. Electron.

Adv. Eng. Informatics

Publications

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 (2024)
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 (2024)
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) (2024)
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 (2024)
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 (2024)
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 (2024)
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) (2023)
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 (2023)
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 (2023)
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) (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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) (2022)
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 (2021)
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 (2021)
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) (2021)
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 (2021)
Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Michael G. Pecht
Deep Residual Shrinkage Networks for Fault Diagnosis. IEEE Trans. Ind. Informatics 16 (7) (2020)
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) (2019)
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) (2018)