ASDAH: An automated structural change detection algorithm based on the Hilbert-Huang transform

被引：32

作者：

Carbajo, Esther Simon ^{[1
]}

Carbajo, Ricardo Simon ^{[1
]}

Mc Goldrick, Ciaran ^{[1
]}

Basu, Biswajit ^{[2
]}

机构：

[1] Trinity Coll Dublin, Sch Comp Sci & Stat, Dublin, Ireland

[2] Trinity Coll Dublin, Sch Engn, Dublin, Ireland

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2014年 / 47卷 / 1-2期

关键词：

Automated online algorithm; Structural change detection; Hilbert-Huang transform; EMD; Energy-based frequency weighting; EMPIRICAL MODE DECOMPOSITION; SYSTEM-IDENTIFICATION; DAMAGE DETECTION; WAVELET TRANSFORM; FAULT-DETECTION; TIME-FREQUENCY; STIFFNESS; CONTROLLER; PARAMETERS; BUILDINGS;

D O I：

10.1016/j.ymssp.2013.06.010

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A novel automated structural change detection algorithm is presented in this paper. The algorithm is principally based on a windowed Hilbert-Huang transform of online data, and incorporates a combination of energy based averaging and moving window averaging. The expected system behaviour is characterised during a dynamic parameterisation and training phase. A hierarchical alarm mechanism is employed to account for short and long term changes in the structural properties. The algorithm has been validated in an experimental setting with two different structures: a single degree of freedom (SDOF) discrete dynamical system and a 2.5 kW wind turbine blade. The system has been shown to reliably and promptly detect structural changes in both structures, one with a stiffness variation and the other with mass variation. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：78 / 93

页数：16

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