Changmin Cheng
Orcid: 0000-0001-5222-4047Affiliations:
- Shanghai Jiaotong University, China
According to our database1,
Changmin Cheng
authored at least 23 papers
between 2017 and 2025.
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Bibliography
2025
Label-guided contrastive learning with weighted pseudo-labeling: A novel mechanical fault diagnosis method with insufficient annotated data.
Reliab. Eng. Syst. Saf., 2025
2024
Adaptive incremental diagnosis model for intelligent fault diagnosis with dynamic weight correction.
Reliab. Eng. Syst. Saf., January, 2024
2023
Hybrid Semi-Supervised Learning for Rotating Machinery Fault Diagnosis Based on Grouped Pseudo Labeling and Consistency Regularization.
IEEE Trans. Instrum. Meas., 2023
A Nonlinearity-Sensitive Approach for Early Damage Detection Using NOFRFs and the Hybrid-LSTM Model.
IEEE Trans. Instrum. Meas., 2023
Semisupervised Fault Diagnosis of Gearbox Using Weighted Graph-Based Label Propagation and Virtual Adversarial Training.
IEEE Trans. Instrum. Meas., 2023
An Unsupervised Condition Monitoring Method for Rolling Bearings Based on Compound Feature Selection and Multistep-Aware BiGRU-VAE.
IEEE Trans. Instrum. Meas., 2023
2022
An Instance and Feature-Based Hybrid Transfer Model for Fault Diagnosis of Rotating Machinery With Different Speeds.
IEEE Trans. Instrum. Meas., 2022
Relation-Aware Attentive Neural Processes Model for Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas., 2022
Identification of Sparse Volterra Systems: An Almost Orthogonal Matching Pursuit Approach.
IEEE Trans. Autom. Control., 2022
2021
Hybrid Pre-Training Strategy for Deep Denoising Neural Networks and Its Application in Machine Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021
Variable Selection According to Goodness of Fit in Nonparametric Nonlinear System Identification.
IEEE Trans. Autom. Control., 2021
Identification of Switched Linear Systems: Persistence of Excitation and Numerical Algorithms.
CoRR, 2021
2020
Detecting the Early Damages in Structures With Nonlinear Output Frequency Response Functions and the CNN-LSTM Model.
IEEE Trans. Instrum. Meas., 2020
2019
Consistent Variable Selection for a Nonparametric Nonlinear System by Inverse and Contour Regressions.
IEEE Trans. Autom. Control., 2019
Variable selection of high-dimensional non-parametric nonlinear systems by derivative averaging to avoid the curse of dimensionality.
Autom., 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
Impulse response function identification of linear mechanical systems based on Kautz basis expansion with multiple poles.
Int. J. Syst. Sci., 2018
Ranking Variables Based on Goodness of Fits in Nonlinear Nonparametric System Identification.
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018
2017
Variable selection of high-dimensional non-parametric nonlinear systems: A way to avoid the curse of dimensionality.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017