Dong Wang

发表

A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries

K. Tsui, Yang Zhao, S. Bae, 2018 .

Piecewise model based intelligent prognostics for state of health prediction of rechargeable batteries with capacity regeneration phenomena

Dong Wang, Kwok-Leung Tsui, Yang Zhao, 2019 .

Brownian motion with adaptive drift for remaining useful life prediction: Revisited

Dong Wang, Kwok-Leung Tsui, K. Tsui, 2018 .

A morphogram with the optimal selection of parameters used in morphological analysis for enhancing the ability in bearing fault diagnosis

Peter W. Tse, Dong Wang, Y. L. Tse, 2012 .

Performance Degradation Assessment of Slurry Pumps

P. Tse, Dong Wang, 2015 .

Voltage-temperature health feature extraction to improve prognostics and health management of lithium-ion batteries

Ershun Pan, Zhike Peng, Xi Zhang, 2021 .

Prognostics of Li(NiMnCo)O2-based lithium-ion batteries using a novel battery degradation model

Dong Wang, Kwok-Leung Tsui, Fangfang Yang, 2017, Microelectron. Reliab..

Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model

Qiang Miao, Michael Pecht, Dong Wang, 2013 .

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter

Dong Wang, Suk Joo Bae, Kwok-Leung Tsui, 2016, IEEE Transactions on Instrumentation and Measurement.

Interpretable online updated weights: Optimized square envelope spectrum for machine condition monitoring and fault diagnosis

Hong Wang, K. Tsui, Zhike Peng, 2022, Mechanical Systems and Signal Processing.

Generalized Gini indices: Complementary sparsity measures to Box-Cox sparsity measures for machine condition monitoring

K. Tsui, Zhike Peng, Tangbin Xia, 2022, Mechanical Systems and Signal Processing.

Investigations on quasi-arithmetic means for machine condition monitoring

Yi Wang, Yang Zhao, Bingchang Hou, 2021 .

Optimization of segmentation fragments in empirical wavelet transform and its applications to extracting industrial bearing fault features

Kwok-Leung Tsui, Yong Qin, Dong Wang, 2019, Measurement.

Some further thoughts about spectral kurtosis, spectral L2/L1 norm, spectral smoothness index and spectral Gini index for characterizing repetitive transients

Dong Wang, Dong Wang, 2018 .

Spectral L2 / L1 norm: A new perspective for spectral kurtosis for characterizing non-stationary signals

Dong Wang, Dong Wang, 2018 .

Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators

Qiang Miao, Kwok-Leung Tsui, Dong Wang, 2018, IEEE Access.

Theoretical investigation of the upper and lower bounds of a generalized dimensionless bearing health indicator

Dong Wang, Kwok-Leung Tsui, K. Tsui, 2018 .

On the distribution of the modulus of Gabor wavelet coefficients and the upper bound of the dimensionless smoothness index in the case of additive Gaussian noises: Revisited

Qiang Zhou, Dong Wang, Kwok-Leung Tsui, 2017 .

Dynamic Bayesian wavelet transform: New methodology for extraction of repetitive transients

Dong Wang, Kwok-Leung Tsui, K. Tsui, 2017 .

State Space Formulation of Nonlinear Vibration Responses Collected from a Dynamic Rotor-Bearing System: An Extension of Bearing Diagnostics to Bearing Prognostics

Dong Wang, Peter W. Tse, P. Tse, 2017, Sensors.

An enhanced empirical mode decomposition method for blind component separation of a single-channel vibration signal mixture

Peter W. Tse, Wei Guo, Dong Wang, 2016 .

Novel Gauss-Hermite integration based Bayesian inference on optimal wavelet parameters for bearing fault diagnosis

Dong Wang, Kwok-Leung Tsui, Qiang Zhou, 2016 .

A general sequential Monte Carlo method based optimal wavelet filter: A Bayesian approach for extracting bearing fault features

Peter W. Tse, Dong Wang, Shilong Sun, 2015 .

Extraction of sparse equalized signals in recovery of potential cyclic impulses from a multi-fault signal mixture

Dong Wang, Wei Guo, W. Guo, 2014 .

The design of a new sparsogram for fast bearing fault diagnosis: Part 1 of the two related manuscripts that have a joint title as “Two automatic vibration-based fault diagnostic methods using the novel sparsity measurement – Parts 1 and 2”

Peter W. Tse, Dong Wang, P. Tse, 2013 .

A joint sparse wavelet coefficient extraction and adaptive noise reduction method in recovery of weak bearing fault features from a multi-component signal mixture

Dong Wang, Wei Guo, Xiaojuan Wang, 2013, Appl. Soft Comput..

Fault diagnosis of rotating machinery based on the statistical parameters of wavelet packet paving and a generic support vector regressive classifier

Fanrang Kong, Peter W. Tse, Dong Wang, 2013 .

A new blind fault component separation algorithm for a single-channel mechanical signal mixture

Dong Wang, Peter W. Tse, P. Tse, 2012 .

Morphogram: A simple and useful way to determine the optimal length of flat SE used in morphological analysis for bearing fault feature extraction

Peter W. Tse, Dong Wang, P. Tse, 2012, 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering.

Big Data Opportunities: System Health Monitoring and Management

Yang Zhao, Kwok Leung Tsui, Dong Wang, 2019, IEEE Access.

A simple and fast guideline for generating enhanced/squared envelope spectra from spectral coherence for bearing fault diagnosis

Yong Qin, Kwok-Leung Tsui, Dong Wang, 2019, Mechanical Systems and Signal Processing.

Making EEMD more effective in extracting bearing fault features for intelligent bearing fault diagnosis by using blind fault component separation

Dong Wang, Kwok Leung Tsui, Cai Yi, 2018, J. Intell. Fuzzy Syst..

An enhanced Kurtogram method for fault diagnosis of rolling element bearings

Peter W. Tse, Kwok-Leung Tsui, Dong Wang, 2013 .

An extension of the infograms to novel Bayesian inference for bearing fault feature identification

Dong Wang, Dong Wang, 2016 .

The sparsogram: A new and effective method for extracting bearing fault features

Peter W. Tse, Dong Wang, P. Tse, 2011, 2011 Prognostics and System Health Managment Confernece.

Battery remaining useful life prediction at different discharge rates

Dong Wang, Yang Zhao, Kwok-Leung Tsui, 2017, Microelectron. Reliab..

A critical study of different dimensionality reduction methods for gear crack degradation assessment under different operating conditions

Peter W. Tse, Xiang Wan, Dong Wang, 2016 .

Support vector data description for fusion of multiple health indicators for enhancing gearbox fault diagnosis and prognosis

Peter W. Tse, Qiang Miao, Wei Guo, 2011 .

Prognostics of Lithium-ion batteries based on state space modeling with heterogeneous noise variances

Dong Wang, Yang Zhao, Kwok-Leung Tsui, 2017, Microelectron. Reliab..

An equivalent cyclic energy indicator for bearing performance degradation assessment

Changqing Shen, Dong Wang, Changqing Shen, 2016 .

EEMD-Based Steady-State Indexes and Their Applications to Condition Monitoring and Fault Diagnosis of Railway Axle Bearings

Dong Wang, Jianhui Lin, Kwok-Leung Tsui, 2018, Sensors.

Combined CNN-LSTM Network for State-of-Charge Estimation of Lithium-Ion Batteries

Fangfang Yang, Kwok-Leung Tsui, Xiangbao Song, 2019, IEEE Access.

Statistical Modeling of Bearing Degradation Signals

Kwok-Leung Tsui, Dong Wang, K. Tsui, 2017, IEEE Transactions on Reliability.

A Doppler Transient Model Based on the Laplace Wavelet and Spectrum Correlation Assessment for Locomotive Bearing Fault Diagnosis

P. Tse, Fanrang Kong, Changqing Shen, 2013, Sensors.

Lifespan prediction of lithium-ion batteries based on various extracted features and gradient boosting regression tree model

Kwok-Leung Tsui, Fangfang Yang, Dong Wang, 2020 .

Enhancing the abilities in assessing slurry pumps' performance degradation and estimating their remaining useful lives by using captured vibration signals

Peter W. Tse, Dong Wang, P. Tse, 2017 .

Prognostics of slurry pumps based on a moving-average wear degradation index and a general sequential Monte Carlo method

Peter W. Tse, Dong Wang, P. Tse, 2015 .

Ground-level ozone prediction by support vector machine approach with a cost-sensitive classification scheme.

Wei-Zhen Lu, Dong Wang, W. Lu, 2008, The Science of the total environment.

Constructing a health indicator for roller bearings by using a stacked auto-encoder with an exponential function to eliminate concussion

Dong Wang, Kwok-Leung Tsui, Fangfang Yang, 2020, Appl. Soft Comput..

Two novel mixed effects models for prognostics of rolling element bearings

Dong Wang, Kwok-Leung Tsui, K. Tsui, 2018 .

A comprehensive investigation of lithium-ion battery degradation performance at different discharge rates

Yu Wang, Yanyang Zi, Kwok-Leung Tsui, 2019, Journal of Power Sources.

Battery prognostics at different operating conditions

Kwok-Leung Tsui, Yang Zhao, Dong Wang, 2020 .