Minghang Zhao

Orcid: 0000-0003-3342-1840

According to our database1, Minghang Zhao authored at least 23 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines.
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.
Reliab. Eng. Syst. Saf., January, 2024

An Adaptive Symmetric Loss in Dynamic Wide-Kernel ResNet for Rotating Machinery Fault Diagnosis Under Noisy Labels.
IEEE Trans. Instrum. Meas., 2024

An Open-Set Method for Diagnosing Unknown Bogie Bearing Faults Using a Hybrid Open Score Relation Network.
IEEE Trans. Instrum. Meas., 2024

DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications.
Reliab. Eng. Syst. Saf., 2024

HOOST: A novel hyperplane-oriented over-sampling technique for imbalanced fault detection of aero-engines.
Knowl. Based Syst., 2024

DsP-YOLO: An anchor-free network with DsPAN for small object detection of multiscale defects.
Expert Syst. Appl., 2024

2023
Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines.
Comput. Ind., October, 2023

A hybrid attention-based multi-wavelet coefficient fusion method in RUL prognosis of rolling bearings.
Reliab. Eng. Syst. Saf., September, 2023

CSiamese: a novel semi-supervised anomaly detection framework for gas turbines via reconstruction similarity.
Neural Comput. Appl., August, 2023

2022
A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction.
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.
IEEE Trans. Instrum. Meas., 2022

CAE-WANN: A novel anomaly detection method for gas turbines via search space extension.
Qual. Reliab. Eng. Int., 2022

Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps.
Comput. Ind., 2022

Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks.
Adv. Eng. Informatics, 2022

Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network.
Adv. Eng. Informatics, 2022

2021
Self-Attention ConvLSTM and Its Application in RUL Prediction of Rolling Bearings.
IEEE Trans. Instrum. Meas., 2021

Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis.
IEEE Trans. Ind. Electron., 2021

Deep residual LSTM with domain-invariance for remaining useful life prediction across domains.
Reliab. Eng. Syst. Saf., 2021

A re-optimized deep auto-encoder for gas turbine unsupervised anomaly detection.
Eng. Appl. Artif. Intell., 2021

2020
Deep Residual Shrinkage Networks for Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2020

2019
Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis.
IEEE Trans. Ind. Electron., 2019

2018
Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes.
IEEE Trans. Ind. Electron., 2018


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