Changmin Cheng

Orcid: 0000-0001-5222-4047

Affiliations:
  • Shanghai Jiaotong University, China


According to our database1, Changmin Cheng authored at least 22 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Adaptive incremental diagnosis model for intelligent fault diagnosis with dynamic weight correction.
Reliab. Eng. Syst. Saf., January, 2024

2023
A Scalable Gaussian Process for Large-Scale Periodic Data.
Technometrics, July, 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

Persistence of excitation for identifying switched linear systems.
Autom., 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

Variable selection based on squared derivative averages.
Autom., 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

Ranking the importance of variables in nonlinear system identification.
Autom., 2019

Variable selection of high-dimensional non-parametric nonlinear systems by derivative averaging to avoid the curse of dimensionality.
Autom., 2019

Variable Selection for a Nonparametric Nonlinear System by Directional Regression.
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


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