An optimization method of electrostatic sensor array based on Kriging surrogate model and improved non-dominated sorting genetic algorithm with elite strategy algorithm
Author:
Affiliation:
1. School of Future Technology, Xi’an Jiaotong University, Xi’an, China
2. Civil Aviation Key Laboratory of Aircraft Health Monitoring and Intelligent Maintenance, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Abstract
Funder
National Natural Science Foundation of China
Postdoctoral Science Fund
Basic Research Program of China
Basic Research Fund of Xi'an Jiaotong University
Publisher
SAGE Publications
Subject
Mechanical Engineering,Aerospace Engineering
Link
http://journals.sagepub.com/doi/pdf/10.1177/09544100231219945
Reference31 articles.
1. Electrostatic sensors – Their principles and applications
2. A review of electrostatic monitoring technology: The state of the art and future research directions
3. Optimization of electrostatic sensor electrodes using particle swarm optimization technique
4. Optimized Rectangular Electrode of Electrostatic Sensor
5. A NEW METHOD TO OPTIMIZE GEOMETRIC DESIGN OF ELECTROSTATIC SENSOR ELECTRODES USING PARTICLE SWARM OPTIMIZATION
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