Guang Wang

Orcid: 0000-0002-8014-6119

Affiliations:
  • North China Electric Power University - Baoding Campus, Baoding, China


According to our database1, Guang Wang authored at least 22 papers between 2013 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Voltage Correlation-Based Principal Component Analysis Method for Short Circuit Fault Diagnosis of Series Battery Pack.
IEEE Trans. Ind. Electron., September, 2023

KPCA-CCA-Based Quality-Related Fault Detection and Diagnosis Method for Nonlinear Process Monitoring.
IEEE Trans. Ind. Informatics, May, 2023

2021
Quality-Related Root Cause Diagnosis Based on Orthogonal Kernel Principal Component Regression and Transfer Entropy.
IEEE Trans. Ind. Informatics, 2021

Adaptive Canonical Correlation Analysis Method Based on Forgetting Factor for Fault Detection.
Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

An Optimized Fault Diagnosis Method for Nonlinear Processes with Effective Suppression of the Fault Smearing Effect.
Proceedings of the CAA Symposium on Fault Detection, 2021

2019
Efficient Nonlinear Fault Diagnosis Based on Kernel Sample Equivalent Replacement.
IEEE Trans. Ind. Informatics, 2019

2018
Key Performance Indicators Relevant Fault Diagnosis and Process Control Approaches for Industrial Applications.
J. Control. Sci. Eng., 2018

Least Squares and Contribution Plot Based Approach for Quality-Related Process Monitoring.
IEEE Access, 2018

Nonlinear Fault Detection Based on An Improved Kernel Approach.
IEEE Access, 2018

Quality-Related Fault Detection and Diagnosis Based on Total Principal Component Regression Model.
IEEE Access, 2018

2017
A Kernel Direct Decomposition-Based Monitoring Approach for Nonlinear Quality-Related Fault Detection.
IEEE Trans. Ind. Informatics, 2017

A Kernel Least Squares Based Approach for Nonlinear Quality-Related Fault Detection.
IEEE Trans. Ind. Electron., 2017

2016
A Quality-Related Fault Detection Approach Based on Dynamic Least Squares for Process Monitoring.
IEEE Trans. Ind. Electron., 2016

Data-Driven Process Monitoring Based on Modified Orthogonal Projections to Latent Structures.
IEEE Trans. Control. Syst. Technol., 2016

Event driven tracking control algorithm for marine vessel based on backstepping method.
Neurocomputing, 2016

Event triggered trajectory tracking control approach for fully actuated surface vessel.
Neurocomputing, 2016

2015
Quality-Related Fault Detection Approach Based on Orthogonal Signal Correction and Modified PLS.
IEEE Trans. Ind. Informatics, 2015

2014
An LWPR-Based Data-Driven Fault Detection Approach for Nonlinear Process Monitoring.
IEEE Trans. Ind. Informatics, 2014

Data-driven fault diagnosis for an automobile suspension system by using a clustering based method.
J. Frankl. Inst., 2014

Robust PLS approach for KPI-related prediction and diagnosis against outliers and missing data.
Int. J. Syst. Sci., 2014

2013
A modified partial robust M-regression to improve prediction performance for data with outliers.
Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013

An approach for robust data-driven fault detection with industrial application.
Proceedings of the IECON 2013, 2013


  Loading...