Kaixuan Shao

Wuhan University — China

Engineering · Physical Sciences

11h-index492citations15works17.52yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Machine Fault Diagnosis Techniques(7), Energy Load and Power Forecasting(4), Gear and Bearing Dynamics Analysis(4), Fault Detection and Control Systems(2), Advanced Computational Techniques and Applications(2)

Publications15 total

An Unsupervised Approach to Power Transformer Early Fault Warning Based on PMCAEN and SVDD
IEEE Transactions on Industrial Informatics·2025
Vibration Signal-Based Fusion Residual Attention Model for Power Transformer Fault Diagnosis
IEEE Sensors Journal·2024· 35 cited
An Unsupervised Approach to Wind Turbine Blade Icing Detection Based on Beta Variational Graph Attention Autoencoder
IEEE Transactions on Instrumentation and Measurement·2023· 13 cited
Distribution recurrence plots and measures: Effective signal analysis tools for fault diagnosis of wind turbine drivetrain system
Advanced Engineering Informatics·2023· 19 citedOpen Access
Detecting wind turbine anomalies using nonlinear dynamic parameters-assisted machine learning with normal samples
Reliability Engineering & System Safety·2023· 43 cited
Augmented Weighted Bidirectional  Feature Pyramid Network  for Marine Object Detection
SSRN Electronic Journal·2023· 2 citedOpen Access
VMD-IARIMA-Based Time-Series Forecasting Model and its Application in Dissolved Gas Analysis
IEEE Transactions on Dielectrics and Electrical Insulation·2022· 24 cited
Fine-Gained Recurrence Graph: Graphical Modeling of Vibration Signal for Fault Diagnosis of Wind Turbine
IEEE Transactions on Industrial Informatics·2022· 11 cited
M2TNet: Multi-modal multi-task Transformer network for ultra-short-term wind power multi-step forecasting
Energy Reports·2022· 50 citedOpen Access
Fault Detection for Wind Turbine System Using Fractional Extended Dispersion Entropy and Cumulative Sum Control Chart
IEEE Transactions on Instrumentation and Measurement·2022· 14 cited
Intelligent Fault Identification for Rolling Bearings Fusing Average Refined Composite Multiscale Dispersion Entropy-Assisted Feature Extraction and SVM with Multi-Strategy Enhanced Swarm Optimization
Entropy·2021· 8 citedOpen Access
Coordinated approach fusing time-shift multiscale dispersion entropy and vibrational Harris hawks optimization-based SVM for fault diagnosis of rolling bearing
Measurement·2020· 136 cited
Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multiscale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer, and KELM
Complexity·2020· 32 citedOpen Access
Fault Diagnosis for Rolling Bearings Based on Composite Multiscale Fine-Sorted Dispersion Entropy and SVM With Hybrid Mutation SCA-HHO Algorithm Optimization
IEEE Access·2020· 99 citedOpen Access
Real‐time approach for oscillatory stability assessment in large‐scale power systems based on MRMR classifier
IET Generation Transmission & Distribution·2019· 6 cited

Frequent Co-authors

Yigang He(9), Zhikai Xing(7), Wenlong Fu(4), Lei Wang(4), Yazhong Zhou(4), Jiawen Tan(3), Bolun Du(3), Kai Wang(2), Xiaoyan Liu(2), Leixiao Lei(2), Kai Wang(1), Lie Li(1), Zihao Li(1), Xiao Wang(1), Jiajun Duan(1), Xiaole Hu(1), Pengpeng Li(1), Huibin Shi(1), Bailin Li(1), Duanhao Yang(1)