Qing Li

发表

Stability analysis for SiC grinding based upon harmonic wavelet and Lipschitz exponent

S. Liang, Jian-guo Yang, Xia Ji, 2019, Machining Science and Technology.

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

Steven Y. Liang, Xia Ji, Qing Li, 2017, Entropy.

Bi-dimensional Empirical Mode Decomposition and Nonconvex Penalty Minimization Lq (q = 0.5) Regular Sparse Representation-based Classification for Image Recognition

Qing Li, Xia Ji, S. Y. Liang, 2018, Pattern Recognition and Image Analysis.

Bearing fault diagnosis using sparse Daubechies-wavelet impulse isolation and horizontal-vertical synchrosqueezing transform approach.

Qing Li, Carlo Cattani, Ming J Zuo, 2020, ISA transactions.

Bearing incipient fault diagnosis based upon maximal spectral kurtosis TQWT and group sparsity total variation denoising approach

Steven Y. Liang, Qing Li, S. Liang, 2018 .

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

Steven Y. Liang, Qing Li, S. Liang, 2017, Entropy.

Prognosis of Bearing Degradation Using Gradient Variable Forgetting Factor RLS Combined With Time Series Model

Qing Li, Steven Y. Liang, Zhipeng Pan, 2018, IEEE Access.

A deep bi-directional long short-term memory model for automatic rotating speed extraction from raw vibration signals

Qing Li, Ming J. Zuo, Dongdong Wei, 2020 .

Physics-based intelligent prognosis for rolling bearing with fault feature extraction

Qing Li, Steven Y. Liang, S. Liang, 2018 .

Weak Crack Detection for Gearbox Using Sparse Denoising and Decomposition Method

Qing Li, Steven Y. Liang, S. Liang, 2019, IEEE Sensors Journal.

Multichannel Signals Reconstruction Based on Tunable Q-Factor Wavelet Transform-Morphological Component Analysis and Sparse Bayesian Iteration for Rotating Machines

Steven Y. Liang, Wei Hu, Qing Li, 2018, Entropy.

Bi-dimensional Empirical Mode Decomposition and Nonconvex Penalty Minimization Lq (q = 0.5) Regular Sparse Representation-based Classification for Image Recognition

Qing Li, Steven Y. Liang, Xia Ji, 2018 .

Long Range Dependence Prognostics for Bearing Vibration Intensity Chaotic Time Series

Steven Y. Liang, Jianguo Yang, Beizhi Li, 2016, Entropy.

Prognosis of Bearing Degeneration Using Adaptive Quaternion Least Mean Biquadrate Under Framework of Hypercomplex Data

Steven Y. Liang, Ming J. Zuo, Qing Li, 2020, IEEE Sensors Journal.

Degradation Trend Prognostics for Rolling Bearing Using Improved R/S Statistic Model and Fractional Brownian Motion Approach

Qing Li, Steven Y. Liang, S. Liang, 2018, IEEE Access.

Multiple Faults Detection for Rotating Machinery Based on Bicomponent Sparse Low-Rank Matrix Separation Approach

Qing Li, Steven Y. Liang, S. Liang, 2018, IEEE Access.

Intelligent Prognostics of Degradation Trajectories for Rotating Machinery Based on Asymmetric Penalty Sparse Decomposition Model

Steven Y. Liang, Qing Li, S. Liang, 2018, Symmetry.

Degradation Trend Prediction for Rotating Machinery Using Long-Range Dependence and Particle Filter Approach

Steven Y. Liang, Qing Li, S. Liang, 2018, Algorithms.

Weak Fault Detection for Gearboxes Using Majorization-Minimization and Asymmetric Convex Penalty Regularization

Steven Y. Liang, Qing Li, S. Liang, 2018, Symmetry.

Microstructure Images Restoration of Metallic Materials Based upon KSVD and Smoothing Penalty Sparse Representation Approach

Qing Li, Steven Y Liang, S. Liang, 2018, Materials.

A sparse FP-VAR model for representing multichannel non-stationary baseline vibration signals from a gearbox

Qing Li, Dongdong Wei, Ming Jian Zuo, 2020, 2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM).