Minghang Zhao

According to our database, Minghang Zhao authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines.

Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu

Expert Syst. Appl., March, 2024

MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction.

Song Fu, Lin Lin, Yue Wang, Feng Guo, Minghang Zhao, Baihong Zhong, Shisheng Zhong

Reliab. Eng. Syst. Saf., January, 2024

An Adaptive Symmetric Loss in Dynamic Wide-Kernel ResNet for Rotating Machinery Fault Diagnosis Under Noisy Labels.

Guohao Qin, Kai Zhang, Xuwei Lai, Qing Zheng, Guofu Ding, Minghang Zhao, Yuehong Zhang

IEEE Trans. Instrum. Meas., 2024

2023

Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines.

Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu

Comput. Ind., October, 2023

A hybrid attention-based multi-wavelet coefficient fusion method in RUL prognosis of rolling bearings.

Tao Zuo, Kai Zhang, Qing Zheng, Xianxin Li, Zhixuan Li, Guofu Ding, Minghang Zhao

Reliab. Eng. Syst. Saf., September, 2023

CSiamese: a novel semi-supervised anomaly detection framework for gas turbines via reconstruction similarity.

Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu

Neural Comput. Appl., August, 2023

2022

A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction.

Song Fu, Shisheng Zhong, Lin Lin, Minghang Zhao

IEEE Trans. Neural Networks Learn. Syst., 2022

Data Augmentation via Randomized Wavelet Expansion and Its Application in Few-Shot Fault Diagnosis of Aviation Hydraulic Pumps.

Minghang Zhao, Xuyun Fu, Yongjian Zhang, Linghui Meng, Shisheng Zhong

IEEE Trans. Instrum. Meas., 2022

CAE-WANN: A novel anomaly detection method for gas turbines via search space extension.

Shisheng Zhong, Dan Liu, Lin Lin, Minghang Zhao, Xuyun Fu, Feng Guo

Qual. Reliab. Eng. Int., 2022

Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps.

Linghui Meng, Minghang Zhao, Zhiquan Cui, Xingming Zhang, Shisheng Zhong

Comput. Ind., 2022

Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks.

Minghang Zhao, Xuyun Fu, Yongjian Zhang, Linghui Meng, Baoping Tang

Adv. Eng. Informatics, 2022

Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network.

Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, Xueyun Liu

Adv. Eng. Informatics, 2022

2021

Self-Attention ConvLSTM and Its Application in RUL Prediction of Rolling Bearings.

Biao Li, Baoping Tang, Lei Deng, Minghang Zhao

IEEE Trans. Instrum. Meas., 2021

Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis.

Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Shaojiang Dong, Michael G. Pecht

IEEE Trans. Ind. Electron., 2021

Deep residual LSTM with domain-invariance for remaining useful life prediction across domains.

Song Fu, Yongjian Zhang, Lin Lin, Minghang Zhao, Shi-sheng Zhong

Reliab. Eng. Syst. Saf., 2021

A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection.

Song Fu, Shisheng Zhong, Lin Lin, Minghang Zhao

Eng. Appl. Artif. Intell., 2021

2020

Deep Residual Shrinkage Networks for Fault Diagnosis.

Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Michael G. Pecht

IEEE Trans. Ind. Informatics, 2020

2019

Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis.

Minghang Zhao, Myeongsu Kang, Baoping Tang, Michael G. Pecht

IEEE Trans. Ind. Electron., 2019

2018

Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes.

Minghang Zhao, Myeongsu Kang, Baoping Tang, Michael G. Pecht

IEEE Trans. Ind. Electron., 2018