Chaoshun Li

Orcid: 0000-0003-1664-5877

According to our database1, Chaoshun Li authored at least 60 papers between 2008 and 2025.

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

Timeline

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Bibliography

2025
Bidirectional artificial potential field-based ant colony optimization for robot path planning.
Robotics Auton. Syst., 2025

Rotating machinery fault diagnosis method based on multi-level fusion framework of multi-sensor information.
Inf. Fusion, 2025

2024
ReF-DDPM: A novel DDPM-based data augmentation method for imbalanced rolling bearing fault diagnosis.
Reliab. Eng. Syst. Saf., 2024

Joint extraction-based multivariate chirp mode decomposition and its application to fault diagnosis of rotating machinery under variable speed conditions.
J. Frankl. Inst., 2024

Rotating machinery fault diagnosis based on one-dimensional convolutional neural network and modified multi-scale graph convolutional network under limited labeled data.
Eng. Appl. Artif. Intell., 2024

2023
Frequency Stability of the Hydro-Dominated Power Grid Integrating the DFIG-based Variable-Speed Pumped Storage Unit.
Proceedings of the 2023 International Conference on Power, 2023

2022
Health Condition Assessment for Pumped Storage Units Using Multihead Self-Attentive Mechanism and Improved Radar Chart.
IEEE Trans. Ind. Informatics, 2022

Combined EEMD with a Novel Flexible Wavelet Threshold Function for Weighing Signal Denoising Approach.
J. Sensors, 2022

2021
Nonlinear Model Predictive Control for Pumped Storage Plants Based on Online Sequential Extreme Learning Machine with Forgetting Factor.
Complex., 2021

A Novel Efficient DLUBE Model Constructed by Error Interval Coefficients for Clustered Wind Power Prediction.
IEEE Access, 2021

A Hybrid Deep Interval Prediction Model for Wind Speed Forecasting.
IEEE Access, 2021

Remaining Useful Life Estimation Combining Two-Step Maximal Information Coefficient and Temporal Convolutional Network With Attention Mechanism.
IEEE Access, 2021

2020
Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2020

Instantaneous Feature Extraction and Time-Frequency Representation of Rotor Purified Orbit Based on Vold-Kalman Filter.
IEEE Trans. Instrum. Meas., 2020

A Novel Wind Speed Interval Prediction Based on Error Prediction Method.
IEEE Trans. Ind. Informatics, 2020

A T-S fuzzy model identification approach based on evolving MIT2-FCRM and WOS-ELM algorithm.
Eng. Appl. Artif. Intell., 2020

Robust T-S Fuzzy Model Identification Approach Based on FCRM Algorithm and L1-Norm Loss Function.
IEEE Access, 2020

Hybrid Bidirectional LSTM Model for Short-Term Wind Speed Interval Prediction.
IEEE Access, 2020

A Disassembly Sequence Planning Method With Team-Based Genetic Algorithm for Equipment Maintenance in Hydropower Station.
IEEE Access, 2020

2019
An Inter Type-2 FCR Algorithm Based T-S Fuzzy Model for Short-Term Wind Power Interval Prediction.
IEEE Trans. Ind. Informatics, 2019

A multi-objective artificial sheep algorithm.
Neural Comput. Appl., 2019

Fault Diagnosis of Rolling Element Bearings with a Two-Step Scheme Based on Permutation Entropy and Random Forests.
Entropy, 2019

Deep interval prediction model with gradient descend optimization method for short-term wind power prediction.
CoRR, 2019

Multiobjective Optimization of a Fractional-Order PID Controller for Pumped Turbine Governing System Using an Improved NSGA-III Algorithm under Multiworking Conditions.
Complex., 2019

Multiobjective Optimal Control for Hydraulic Turbine Governing System Based on an Improved MOGWO Algorithm.
Complex., 2019

Stability and dynamic characteristics of the nonlinear coupling system of hydropower station and power grid.
Commun. Nonlinear Sci. Numer. Simul., 2019

An Adaptive Takagi-Sugeno Fuzzy Model-Based Generalized Predictive Controller for Pumped-Storage Unit.
IEEE Access, 2019

Controller Optimization Approach Using LSTM-Based Identification Model for Pumped-Storage Units.
IEEE Access, 2019

2018
A T-S Fuzzy Model Identification Approach Based on a Modified Inter Type-2 FRCM Algorithm.
IEEE Trans. Fuzzy Syst., 2018

An improved hybrid backtracking search algorithm based T-S fuzzy model and its implementation to hydroelectric generating units.
Neurocomputing, 2018

A Hybrid Fault Diagnosis Approach for Rotating Machinery with the Fusion of Entropy-Based Feature Extraction and SVM Optimized by a Chaos Quantum Sine Cosine Algorithm.
Entropy, 2018

An evolving T-S fuzzy model identification approach based on a special membership function and its application on pump-turbine governing system.
Eng. Appl. Artif. Intell., 2018

Load Frequency Control of a Novel Renewable Energy Integrated Micro-Grid Containing Pumped Hydropower Energy Storage.
IEEE Access, 2018

A Hybrid Algorithm Based on Artificial Sheep Algorithm and Particle Swarm Optimization.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

2017
T-S Fuzzy Model Identification Based on a Novel Hyperplane-Shaped Membership Function.
IEEE Trans. Fuzzy Syst., 2017

A parameter adaptive identification method for a pumped storage hydro unit regulation system model using an improved gravitational search algorithm.
Simul., 2017

Design of a fractional-order PID controller for a pumped storage unit using a gravitational search algorithm based on the Cauchy and Gaussian mutation.
Inf. Sci., 2017

Design of a fuzzy-PID controller for a nonlinear hydraulic turbine governing system by using a novel gravitational search algorithm based on Cauchy mutation and mass weighting.
Appl. Soft Comput., 2017

2016
A mixed-strategy based gravitational search algorithm for parameter identification of hydraulic turbine governing system.
Knowl. Based Syst., 2016

Design of a multi-mode intelligent model predictive control strategy for hydroelectric generating unit.
Neurocomputing, 2016

Parameter identification of a nonlinear model of hydraulic turbine governing system with an elastic water hammer based on a modified gravitational search algorithm.
Eng. Appl. Artif. Intell., 2016

2015
A chaos embedded GSA-SVM hybrid system for classification.
Neural Comput. Appl., 2015

Residual diagnosis model based on wavelet neutral network and its application to hydroelectric generator unit.
Proceedings of the 12th IEEE International Conference on Networking, Sensing and Control, 2015

2014
Piecewise function based gravitational search algorithm and its application on parameter identification of AVR system.
Neurocomputing, 2014

2013
Hydraulic turbine governing system identification using T-S fuzzy model optimized by chaotic gravitational search algorithm.
Eng. Appl. Artif. Intell., 2013

2012
T-S Fuzzy Model Identification With a Gravitational Search-Based Hyperplane Clustering Algorithm.
IEEE Trans. Fuzzy Syst., 2012

A novel chaotic particle swarm optimization based fuzzy clustering algorithm.
Neurocomputing, 2012

Multi-class support vector machine optimized by inter-cluster distance and self-adaptive deferential evolution.
Appl. Math. Comput., 2012

2011
Fault diagnosis based on pulse coupled neural network and probability neural network.
Expert Syst. Appl., 2011

Parameters identification of nonlinear state space model of synchronous generator.
Eng. Appl. Artif. Intell., 2011

2010
A new T-S fuzzy-modeling approach to identify a boiler-turbine system.
Expert Syst. Appl., 2010

Identification of hydraulic turbine governor system parameters based on Bacterial Foraging Optimization Algorithm.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2009
Mechanic signal analysis based on the Haar-type orthogonal matrix.
Expert Syst. Appl., 2009

T-S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm.
Eng. Appl. Artif. Intell., 2009

Improved algorithm about NSFOT.
Appl. Math. Comput., 2009

Adaptive Hybrid Differential Evolution Algorithm and Its Application in Fuzzy Clustering.
Proceedings of the Advances in Neural Networks, 2009

Fuzzy Neural Network Based on Improved T-S Model and Its Application.
Proceedings of the Advances in Neural Networks, 2009

2008
A Fuzzy Cluster Algorithm Based on Mutative Scale Chaos Optimization.
Proceedings of the Advances in Neural Networks, 2008

T-S Fuzzy Model Identification Based on Chaos Optimization.
Proceedings of the Advances in Neural Networks, 2008

A Precise Chaotic Particle Swarm Optimization Algorithm based on Improved Tent Map.
Proceedings of the Fourth International Conference on Natural Computation, 2008


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