Long Zhang

According to our database, Long Zhang authored at least 20 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Wavelet Package Energy Transmissibility Function and Its Application to Wind Turbine Blade Fault Detection.

Xuefei Wang, Zepeng Liu, Long Zhang, William P. Heath

IEEE Trans. Ind. Electron., 2022

Machine Learning Methods for Smartphone Application Prediction.

Enze Lu, Long Zhang

Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

2021

Wind Turbine Blade Bearing Fault Diagnosis Under Fluctuating Speed Operations via Bayesian Augmented Lagrangian Analysis.

Zepeng Liu, Xiaoquan Tang, Xuefei Wang, Jose Errea Mugica, Long Zhang

IEEE Trans. Ind. Informatics, 2021

Misalignment Fault Diagnosis for Wind Turbines Based on Information Fusion.

Yancai Xiao, Jinyu Xue, Long Zhang, Yujia Wang, Mengdi Li

Entropy, 2021

2020

Fault Diagnosis of Industrial Wind Turbine Blade Bearing Using Acoustic Emission Analysis.

Zepeng Liu, Xuefei Wang, Long Zhang

IEEE Trans. Instrum. Meas., 2020

Naturally Damaged Wind Turbine Blade Bearing Fault Detection Using Novel Iterative Nonlinear Filter and Morphological Analysis.

Zepeng Liu, Long Zhang

IEEE Trans. Ind. Electron., 2020

2019

Sparse augmented Lagrangian algorithm for system identification.

Xiaoquan Tang, Long Zhang, Xiaolin Wang

Neurocomputing, 2019

2018

Bayesian augmented Lagrangian algorithm for system identification.

Xiaoquan Tang, Long Zhang, Xiuting Li

Syst. Control. Lett., 2018

Stability orthogonal regression for system identification.

Xiaoquan Tang, Long Zhang

Syst. Control. Lett., 2018

2017

Orthogonal Matching Pursuit for Multilayer Perceptions Neural Networks Model Reduction.

Xiaoquan Tang, Xiaolin Wang, Long Zhang

Proceedings of the Intelligent Computing, Networked Control, and Their Engineering Applications, 2017

2016

Generalized Transmissibility Damage Indicator With Application to Wind Turbine Component Condition Monitoring.

Long Zhang, Zi-Qiang Lang, Mayorkinos Papaelias

IEEE Trans. Ind. Electron., 2016

2015

Two-Stage Orthogonal Least Squares Methods for Neural Network Construction.

Long Zhang, Kang Li, Er-Wei Bai, George W. Irwin

IEEE Trans. Neural Networks Learn. Syst., 2015

Material identification of loose particles in sealed electronic devices using PCA and SVM.

Guofu Zhai, Jinbao Chen, Shujuan Wang, Kang Li, Long Zhang

Neurocomputing, 2015

Forward and backward least angle regression for nonlinear system identification.

Long Zhang, Kang Li

Autom., 2015

Transmissibility damage indicator for wind turbine blade condition monitoring.

Long Zhang, Ziqiang Lang, Wenxian Yang

Proceedings of the 21st International Conference on Automation and Computing, 2015

2013

Advanced methods for neural modelling and applications.

Long Zhang

PhD thesis, 2013

A New Discrete-Continuous Algorithm for Radial Basis Function Networks Construction.

Long Zhang, Kang Li, Haibo He, George W. Irwin

IEEE Trans. Neural Networks Learn. Syst., 2013

A New Extension of Newton Algorithm for Nonlinear System Modelling Using RBF Neural Networks.

Long Zhang, Kang Li, Er-Wei Bai

IEEE Trans. Autom. Control., 2013

Loose Particle Classification Using a New Wavelet Fisher Discriminant Method.

Long Zhang, Kang Li, Shujuan Wang, Guofu Zhai, Shaoyuan Li

Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

A novel LOO based two-stage method for automatic model identification of a class of nonlinear dynamic systems.

Long Zhang, Kang Li, Er-Wei Bai

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013