Sensors distribution optimization for impact localization using NSGA-II

Abstract

Purpose

The purpose of this study which resulted in this work is to propose an optimization method of sensors distribution for structural impact localization.

Design/methodology/approach

This paper presents a multi-objective optimization study of a novel sensors distribution technique, where two optimization objective functions are considered: sensors number and sensors location optimization performance index. In addition, the finite element analysis, the time-frequency transform and the principal component analysis are combined to quantize the above objective functions. The non-dominated sorting genetic algorithm II (NSGA-II) is used to acquire Pareto solutions.

Findings

The effectiveness of this method is validated through a prototype laboratory called the piezoelectric intelligent structure where promising results are obtained.

Originality/value

An optimization method of this novel sensors distribution technique is built and produced a set of efficiency solutions for the real-world problem of impact localization where two conflicting objectives are involved.

Citation

Li, P., Wang, Y., Hu, J. and Zhou, J. (2015), "Sensors distribution optimization for impact localization using NSGA-II", Sensor Review, Vol. 35 No. 4, pp. 409-418. https://doi.org/10.1108/SR-02-2015-0028