Mingzhu Tang

发表

Parameters estimation of photovoltaic models using a novel hybrid seagull optimization algorithm

Ximing Liang, Wen Long, J. Jiao, 2022, Energy.

Parameters Estimation of Photovoltaic Models Using a Novel Hybrid Seagull Optimization Algorithm

Ximing Liang, Wen Long, J. Jiao, 2022, SSRN Electronic Journal.

Key Performance Indicators Relevant Fault Diagnosis and Process Control Approaches for Industrial Applications

Yuri A. W. Shardt, Mingzhu Tang, Wen Long, 2018 .

Lens-imaging learning Harris hawks optimizer for global optimization and its application to feature selection

J. Jiao, Ming Xu, Mingzhu Tang, 2022, Expert Syst. Appl..

A velocity-guided Harris hawks optimizer for function optimization and fault diagnosis of wind turbine

Ximing Liang, J. Jiao, Ming Xu, 2022, Artificial intelligence review.

Fault Detection of Wind Turbine Gearboxes Based on IBOA-ERF

Mingzhu Tang, Huawei Wu, Yifan Wang, 2022, Sensors.

Review and Perspectives of Machine Learning Methods for Wind Turbine Fault Diagnosis

Mingzhu Tang, Yifan Wang, Huawei Wu, 2021, Frontiers in Energy Research.

Fault Detection of Wind Turbine Electric Pitch System Based on IGWO-ERF

Huawei Wu, Mingzhu Tang, Jiabiao Yi, 2021, Sensors.

Data-based process fault detection using Active Cost-sensitive Learning

Weihua Gui, Chunhua Yang, Yongfang Xie, 2010, The 2nd International Conference on Information Science and Engineering.

Inspired grey wolf optimizer for solving large-scale function optimization problems

Jianjun Jiao, Wen Long, Ximing Liang, 2018, Applied Mathematical Modelling.

An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization

Jianjun Jiao, Wen Long, Ximing Liang, 2018, Eng. Appl. Artif. Intell..

An efficient and robust grey wolf optimizer algorithm for large-scale numerical optimization

Jianjun Jiao, Wen Long, Shaohong Cai, 2020, Soft Comput..

Parameters identification of photovoltaic models by using an enhanced adaptive butterfly optimization algorithm

Shaohong Cai, Mingzhu Tang, Tiebin Wu, 2021 .

Inadequate load output diagnosis of ultra-supercritical thermal power units based on MIWOA Multi-label Random Forest

Mingzhu Tang, Zixin Liang, Dongxu Ji, 2023, Applied Thermal Engineering.

Refraction-learning-based whale optimization algorithm for high-dimensional problems and parameter estimation of PV model

Jianjun Jiao, Ming Xu, Wen Long, 2020, Eng. Appl. Artif. Intell..

Self-Adaptive Artificial Bee Colony for Function Optimization

Kang Zhang, Wen Long, Yuri A.W. Shardt, 2017, J. Control. Sci. Eng..

An efficient and robust grey wolf optimizer algorithm for large-scale numerical optimization

J. Jiao, Mingzhu Tang, Shaohong Cai, 2019, Soft Computing.

A velocity-based butterfly optimization algorithm for high-dimensional optimization and feature selection

Wen Long, J. Jiao, Ming Xu, 2022, Expert Syst. Appl..

Immersion and invariance control of a class of nonlinear cascaded discrete systems

Yi Zuo, Xiaoli Wang, Zhengzhi Han, 2016, Neurocomputing.

Fault Detection of Wind Turbine Pitch System Based on Multiclass Optimal Margin Distribution Machine

Xu Yang, Mingzhu Tang, Huawei Wu, 2020 .

An Improved LightGBM Algorithm for Online Fault Detection of Wind Turbine Gearboxes

Steven X. Ding, Bin Huang, Wen Long, 2020, Energies.

Cost-sensitive large margin distribution machine for fault detection of wind turbines

Steven X. Ding, Wen Long, Chunhua Yang, 2019, Cluster Computing.

Fault Detection for Wind Turbine Blade Bolts Based on GSG Combined with CS-LightGBM

Mingzhu Tang, Huawei Wu, Hongqiu Zhu, 2022, Sensors.

A velocity-guided Harris hawks optimizer for function optimization and fault diagnosis of wind turbine

Ximing Liang, J. Jiao, Ming Xu, 2022, Artificial Intelligence Review.

Wind Turbine Pitch System Fault Detection Using ssODM-DSTA

Mingzhu Tang, Huawei Wu, Ziming Wang, 2021, Frontiers in Energy Research.

Cost-Sensitive LightGBM-Based Online Fault Detection Method for Wind Turbine Gearboxes

Mingzhu Tang, Huawei Wu, Qi Zhao, 2021, Frontiers in Energy Research.

Fault Detection for Pitch System of Wind Turbine-Driven Doubly Fed Based on IHHO-LightGBM

Mingzhu Tang, Huawei Wu, Z. Peng, 2021, Applied Sciences.

Cost-Sensitive Extremely Randomized Trees Algorithm for Online Fault Detection of Wind Turbine Generators

V. Sheng, Mingzhu Tang, Wen Long, 2021, Frontiers in Energy Research.

Cost-Sensitive Support Vector Machine Using Randomized Dual Coordinate Descent Method for Big Class-Imbalanced Data Classification

Mingzhu Tang, Chunhua Yang, Mingzhu Tang, 2014 .

Traffic Flow Anomaly Detection Based on Robust Ridge Regression with Particle Swarm Optimization Algorithm

Mingzhu Tang, Huawei Wu, Qi Zhao, 2020, Mathematical Problems in Engineering.

Forecasting of Steam Coal Price Based on Robust Regularized Kernel Regression and Empirical Mode Decomposition

Mingzhu Tang, Dongqun Xu, Jun Yang, 2021, Frontiers in Energy Research.