Kaixuan Shao
Orcid: 0000-0001-7023-5647
According to our database1,
Kaixuan Shao
authored at least 10 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Augmented weighted bidirectional feature pyramid network for marine object detection.
Expert Syst. Appl., March, 2024
An Unsupervised Approach to Wind Turbine Blade Icing Detection Based on Beta Variational Graph Attention Autoencoder.
IEEE Trans. Instrum. Meas., 2024
2023
Fine-Gained Recurrence Graph: Graphical Modeling of Vibration Signal for Fault Diagnosis of Wind Turbine.
IEEE Trans. Ind. Informatics, August, 2023
Detecting wind turbine anomalies using nonlinear dynamic parameters-assisted machine learning with normal samples.
Reliab. Eng. Syst. Saf., May, 2023
Distribution recurrence plots and measures: Effective signal analysis tools for fault diagnosis of wind turbine drivetrain system.
Adv. Eng. Informatics, April, 2023
2022
Fault Detection for Wind Turbine System Using Fractional Extended Dispersion Entropy and Cumulative Sum Control Chart.
IEEE Trans. Instrum. Meas., 2022
Numerical modeling of the propagation process of landslide surge using physics-informed deep learning.
Adv. Model. Simul. Eng. Sci., 2022
2021
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
2020
Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multiscale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer, and KELM.
Complex., 2020
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