Qing Li

Orcid: 0000-0001-7170-4679

Affiliations:
  • Donghua University, College of Mechanical Engineering, Shanghai, China (PhD 2017)


According to our database1, Qing Li authored at least 16 papers between 2016 and 2023.

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

Timeline

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Bibliography

2023
A comprehensive survey of sparse regularization: Fundamental, state-of-the-art methodologies and applications on fault diagnosis.
Expert Syst. Appl., November, 2023

User Device Interaction Prediction via Relational Gated Graph Attention Network and Intent-aware Encoder.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
A New Fractional-Order Augmented Quaternion-Valued Approach for Degradation Prognostics of Bearings Using Generalized Hamilton-Real Calculus.
IEEE Trans. Instrum. Meas., 2022

New Approach for Bearing Fault Diagnosis Based on Fractional Spatio-Temporal Sparse Low Rank Matrix Under Multichannel Time-Varying Speed Condition.
IEEE Trans. Instrum. Meas., 2022

2020
Correction: Li, Q.; Liang, S.Y. Incipient Fault Diagnosis of Rolling Bearings Based on Impulse-Step Impact Dictionary and Re-Weighted Minimizing Nonconvex Penalty Lq Regular Technique. Entropy 2017, 19, 421.
Entropy, 2020

2018
Weak Fault Detection for Gearboxes Using Majorization-Minimization and Asymmetric Convex Penalty Regularization.
Symmetry, 2018

Intelligent Prognostics of Degradation Trajectories for Rotating Machinery Based on Asymmetric Penalty Sparse Decomposition Model.
Symmetry, 2018

Multichannel Signals Reconstruction Based on Tunable <i>Q</i>-Factor Wavelet Transform-Morphological Component Analysis and Sparse Bayesian Iteration for Rotating Machines.
Entropy, 2018

Weak Fault Detection of Tapered Rolling Bearing Based on Penalty Regularization Approach.
Algorithms, 2018

Degradation Trend Prediction for Rotating Machinery Using Long-Range Dependence and Particle Filter Approach.
Algorithms, 2018

Prognosis of Bearing Degradation Using Gradient Variable Forgetting Factor RLS Combined With Time Series Model.
IEEE Access, 2018

Multiple Faults Detection for Rotating Machinery Based on Bicomponent Sparse Low-Rank Matrix Separation Approach.
IEEE Access, 2018

Degradation Trend Prognostics for Rolling Bearing Using Improved R/S Statistic Model and Fractional Brownian Motion Approach.
IEEE Access, 2018

2017
Incipient Fault Diagnosis of Rolling Bearings Based on Impulse-Step Impact Dictionary and Re-Weighted Minimizing Nonconvex Penalty Lq Regular Technique.
Entropy, 2017

Incipient Fault Feature Extraction for Rotating Machinery Based on Improved AR-Minimum Entropy Deconvolution Combined with Variational Mode Decomposition Approach.
Entropy, 2017

2016
Long Range Dependence Prognostics for Bearing Vibration Intensity Chaotic Time Series.
Entropy, 2016


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