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Sensors 2018, 18(12), 4264; https://doi.org/10.3390/s18124264

Sensor Distribution Optimization for Structural Impact Monitoring Based on NSGA-II and Wavelet Decomposition

School of Mechatronics & Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China
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Received: 14 October 2018 / Revised: 18 November 2018 / Accepted: 27 November 2018 / Published: 4 December 2018
(This article belongs to the Special Issue Smart Sensors for Structural Health Monitoring)
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Abstract

Optimal sensor placement is a significant task for structural health monitoring (SHM). In this paper, an SHM system is designed which can recognize the different impact location and impact degree in the composite plate. Firstly, the finite element method is used to simulate the impact, extracting numerical signals of the structure, and the wavelet decomposition is used to extract the band energy. Meanwhile, principal component analysis (PCA) is used to reduce the dimensions of the vibration signal. Following this, the non-dominated sorting genetic algorithm (NSGA-II) is used to optimize the placement of sensors. Finally, the experimental system is established, and the Product-based Neural Network is used to recognize different impact categories. Three sets of experiments are carried out to verify the optimal results. When three sensors are applied, the average accuracy of the impact recognition is 59.14%; when the number of sensors is four, the average accuracy of impact recognition is 76.95%. View Full-Text
Keywords: structural impact monitoring; sensors distribution optimization; NSGA-II; energy analysis of wavelet band; principal component analysis structural impact monitoring; sensors distribution optimization; NSGA-II; energy analysis of wavelet band; principal component analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Li, P.; Huang, L.; Peng, J. Sensor Distribution Optimization for Structural Impact Monitoring Based on NSGA-II and Wavelet Decomposition. Sensors 2018, 18, 4264.

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