Minghang Zhao
Orcid: 0000-0003-3342-1840
According to our database1,
Minghang Zhao
authored at least 22 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
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
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
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
Eng. Appl. Artif. Intell., 2021
2020
IEEE Trans. Ind. Informatics, 2020
2019
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