Kappa-PSO-FAN based method for damage identification on composite structural health monitoring

作者：

Highlights：

• A method which relies on optimization of fuzzy ARTMAP by using the Kappa-PSO algorithm.

• A method to lighten the practical cost to select optimal setup parameters of the FAN classifier.

• The method is suited to the problem of detecting incipient damage and its progression.

• This work comprises the combination of intelligent tools and techniques for damage assessment.

• The method can lead to an increase in safety and reduce maintenance costs in SHM systems.

摘要

•A method which relies on optimization of fuzzy ARTMAP by using the Kappa-PSO algorithm.•A method to lighten the practical cost to select optimal setup parameters of the FAN classifier.•The method is suited to the problem of detecting incipient damage and its progression.•This work comprises the combination of intelligent tools and techniques for damage assessment.•The method can lead to an increase in safety and reduce maintenance costs in SHM systems.

论文关键词：SHM,Electromechanical Impedance,PZT,Intelligent systems,Particle Swarm Optimization,Neural network

论文评审过程：Received 3 April 2017, Revised 2 October 2017, Accepted 10 November 2017, Available online 11 November 2017, Version of Record 15 November 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.11.022