A5034348988- Machine Fault Diagnosis Techniques
- Adaptive Dynamic Programming Control
- Gear and Bearing Dynamics Analysis
- Adaptive Control of Nonlinear Systems
- Vehicle Noise and Vibration Control
- Radiomics and Machine Learning in Medical Imaging
- Advanced Control Systems Design
- Mechanical Failure Analysis and Simulation
- Power Transformer Diagnostics and Insulation
- Iterative Learning Control Systems
- Multilevel Inverters and Converters
- Acoustic Wave Phenomena Research
- AI in cancer detection
- Traditional Chinese Medicine Studies
- Smart Agriculture and AI
- COVID-19 diagnosis using AI
- Remote Sensing and Land Use
- Advanced Adaptive Filtering Techniques
Hunan University
2024-2025
Hunan University of Technology
2022-2025
University of Sheffield
2023-2024
CRRC (China)
2024
Central South University
2022
This article presents an observer-based adaptive fuzzy finite-time attitude control strategy for quadrotor unmanned aerial vehicles (UAVs). To estimate the information of angular velocity with property, neural network observer is first developed. Subsequently, fuzzy-logic-system (FLS)-based nonsingular fast terminal sliding mode controller proposed to compensate lumped disturbance and adjust gain online. cope input saturation, auxiliary system without boundedness saturation difference...
This brief designs an observer-based adaptive finite-time neural control for a class of constrained nonlinear systems with external disturbances, and actuator saturation. First, network (NN) state observer is developed to estimate the unmeasurable states. Combining improved Gaussian function auxiliary compensation system, saturation can be solved. The " <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">explosion complexity</i> problem tackled...
Open-circuit (OC) faults in power converters are common issues motor drive systems, significantly affecting the safe and stable operation of system. Conventional models can accurately diagnose under a single operating condition. However, when conditions change, these may fail to recognize new fault features, resulting decrease diagnosis accuracy. To address this challenge, paper proposes lifelong learning-enabled fractional order-convolutional encoder model for open-circuit multi-conditions....
A bearing fault is one of the major causes rotating machinery faults. However, in real industrial scenarios, harsh and complex environment makes it very difficult to collect sufficient data. Due this limitation, most current methods cannot accurately identify type cases with limited data, so timely maintenance be conducted. In order solve problem, a diagnosis method based on fractional Siamese deep residual shrinkage network (FO-SDRSN) proposed paper. After data collection, all kinds...
In this study, an active noise control (ANC) algorithm based on fractional order with a variable step size is proposed to improve the convergence performance of integer-order ANC and achieve cancellation train electric traction system fan. The optimized parameters by constructing time-varying function related variation error signal speed algorithm, introduction calculus in update iteration filter weight coefficients, which could accuracy reduce steady-state error. And we give proof compared...