A5100702470- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Advanced Algorithms and Applications
- Advanced Multi-Objective Optimization Algorithms
- Robotic Mechanisms and Dynamics
- Industrial Gas Emission Control
- Extraction and Separation Processes
- Gas Sensing Nanomaterials and Sensors
- Non-Destructive Testing Techniques
- Vehicle Dynamics and Control Systems
- Control Systems in Engineering
- Metal Extraction and Bioleaching
- Recycling and Waste Management Techniques
- Electric and Hybrid Vehicle Technologies
- Advancements in Battery Materials
- Iterative Learning Control Systems
- Structural Integrity and Reliability Analysis
- Optimization and Search Problems
- Scheduling and Timetabling Solutions
- Machine Fault Diagnosis Techniques
Kunming University of Science and Technology
2023-2024
Sichuan University
2023
Institute of Navigation
2021
In deep learning-based fault diagnosis of the wind turbine gearbox, a commonly faced challenge is domain shift caused by differing operational conditions. Traditional adaptation methods aim to learn transferable features from source and apply them target data. However, such still require access data during training process, which limits their applicability in real-time diagnosis. To address this issue, we introduce an adversarial single-domain generalization network (ASDGN). It relies solely...
The error analysis of the robot has a very practical significance for improving its accuracy. Therefore, this paper conducts an new five-degree-of-freedom hybrid designed to conduct responsible surface machining. Initially, sources were sorted out determine number sources. Then, mapping model is established by closed-loop vector method and first-order perturbation method. Based on property 6th-order velocity Jacobi matrix, compensable non-compensable affecting posture at end are separated....
<title>Abstract</title> This paper proposes a novel optimization method inspired by radar technology: Wave Search Algorithm (WSA). The WSA algorithm not only draws on engineering techniques for its unique algorithmic design the first time but also utilizes gradient information of problem to be optimized and employs variety improved greedy mechanisms, making it accurate, efficient, flexible, highly adaptable. superiority is experimentally demonstrated testing with rich set test functions ( 23...
The removal of high concentration flue gas sulfur dioxide (SO2) using manganese carbonate ore desulfurization (MCO-FGD) is a promising route that combines economic benefits and pollution control. However, the problems intermediate oxidation by-product control have plagued industrial application MCO-FGD technique for long time. Based on fact there symbiosis iron in natural ore, this study, small amounts Fe(III) MnO2 were introduced into reaction system to enhance SO2 SO4− suppress manganous...
This paper proposes a novel intelligent optimization algorithm called Bald Eagle Optimizer(BEO), based on the predation strategy and reproduction pattern of Eagle. The BEO combines biological laws mathematical transformation methods to guide search behavior particles. highly adaptive has strong capability due its unique algorithmic structure, iterative methods, distinctive boundary restriction rules. performance was tested 30 most diverse CEC2017 test functions 12 latest CEC2022 functions....
This paper proposes a novel intelligent optimization algorithm called Black Eagle Optimizer(BEO), based on the predation strategy and reproduction pattern of black eagle. The BEO combines biological laws eagle mathematical transformation methods to guide search behavior particles. highly adaptive has strong capability due its unique algorithmic structure, iterative methods, distinctive boundary restriction rules. characterization was tested using 30 most diverse CEC2017 test functions 12...
This paper proposes a novel intelligent optimization algorithm called Black Eagle Optimizer(BEO), based on the predation strategy and reproduction pattern of black eagle. The BEO combines biological laws eagle mathematical transformation methods to guide search behavior particles. highly adaptive has strong capability due its unique algorithmic structure, iterative methods, distinctive boundary restriction rules. characterization was tested using 30 most diverse CEC2017 test functions 12...