Structural health monitoring based on laser excitation vibration test and wavelet transform

Shanshan Cao; Itsuro Kajiwara; Xisheng Li; Naoki Hosoya

doi:10.1109/ICSensT.2017.8304432

Structural health monitoring based on laser excitation vibration test and wavelet transform

Shanshan Cao, Itsuro Kajiwara, Xisheng Li, Naoki Hosoya

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper, a vibration testing and health monitoring system is proposed to detect damage in aluminum plate structures. This system is based on an impulse response excited by laser. A high power Nd:YAG pulse laser is used to produce an ideal impulse excitation via laser-ablation on an aluminum plate surface. The propagation, reflection and superposition of elastic wave will be happened in structures. Laser Doppler vibrometer is used for measuring data. And by means of spectrum analyzer and computer, wavelet transform is applied to analyze the waveform characteristics to detect and identify the location of the damage. The applicability of the present approach is validated by simulation and experimental results, demonstrating the ability of the method to detect and identify the location of damage induced on the aluminum plate structures.

Original language	English
Title of host publication	2017 11th International Conference on Sensing Technology, ICST 2017
Publisher	IEEE Computer Society
Pages	1-6
Number of pages	6
Volume	2017-December
ISBN (Electronic)	9781509065264
DOIs	https://doi.org/10.1109/ICSensT.2017.8304432
Publication status	Published - 2018 Feb 27
Event	11th International Conference on Sensing Technology, ICST 2017 - Sydney, Australia Duration: 2017 Dec 4 → 2017 Dec 6

Other

Other	11th International Conference on Sensing Technology, ICST 2017
Country/Territory	Australia
City	Sydney
Period	17/12/4 → 17/12/6

Keywords

Damage Detection
Impulse Response
Laser Ablation
Laser Excitation
Vibration Test
Wavelet Transform

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICSensT.2017.8304432

Cite this

Structural health monitoring based on laser excitation vibration test and wavelet transform. / Cao, Shanshan; Kajiwara, Itsuro; Li, Xisheng; Hosoya, Naoki.

2017 11th International Conference on Sensing Technology, ICST 2017. Vol. 2017-December IEEE Computer Society, 2018. p. 1-6 8304432.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cao, S, Kajiwara, I, Li, X & Hosoya, N 2018, Structural health monitoring based on laser excitation vibration test and wavelet transform. in 2017 11th International Conference on Sensing Technology, ICST 2017. vol. 2017-December, 8304432, IEEE Computer Society, pp. 1-6, 11th International Conference on Sensing Technology, ICST 2017, Sydney, Australia, 17/12/4. https://doi.org/10.1109/ICSensT.2017.8304432

@inproceedings{e0a7f678764a47e5b2b1ae675c52d0c1,

title = "Structural health monitoring based on laser excitation vibration test and wavelet transform",

abstract = "In this paper, a vibration testing and health monitoring system is proposed to detect damage in aluminum plate structures. This system is based on an impulse response excited by laser. A high power Nd:YAG pulse laser is used to produce an ideal impulse excitation via laser-ablation on an aluminum plate surface. The propagation, reflection and superposition of elastic wave will be happened in structures. Laser Doppler vibrometer is used for measuring data. And by means of spectrum analyzer and computer, wavelet transform is applied to analyze the waveform characteristics to detect and identify the location of the damage. The applicability of the present approach is validated by simulation and experimental results, demonstrating the ability of the method to detect and identify the location of damage induced on the aluminum plate structures.",

keywords = "Damage Detection, Impulse Response, Laser Ablation, Laser Excitation, Vibration Test, Wavelet Transform",

author = "Shanshan Cao and Itsuro Kajiwara and Xisheng Li and Naoki Hosoya",

year = "2018",

month = feb,

day = "27",

doi = "10.1109/ICSensT.2017.8304432",

language = "English",

volume = "2017-December",

pages = "1--6",

booktitle = "2017 11th International Conference on Sensing Technology, ICST 2017",

publisher = "IEEE Computer Society",

note = "11th International Conference on Sensing Technology, ICST 2017 ; Conference date: 04-12-2017 Through 06-12-2017",

}

TY - GEN

T1 - Structural health monitoring based on laser excitation vibration test and wavelet transform

AU - Cao, Shanshan

AU - Kajiwara, Itsuro

AU - Li, Xisheng

AU - Hosoya, Naoki

PY - 2018/2/27

Y1 - 2018/2/27

N2 - In this paper, a vibration testing and health monitoring system is proposed to detect damage in aluminum plate structures. This system is based on an impulse response excited by laser. A high power Nd:YAG pulse laser is used to produce an ideal impulse excitation via laser-ablation on an aluminum plate surface. The propagation, reflection and superposition of elastic wave will be happened in structures. Laser Doppler vibrometer is used for measuring data. And by means of spectrum analyzer and computer, wavelet transform is applied to analyze the waveform characteristics to detect and identify the location of the damage. The applicability of the present approach is validated by simulation and experimental results, demonstrating the ability of the method to detect and identify the location of damage induced on the aluminum plate structures.

AB - In this paper, a vibration testing and health monitoring system is proposed to detect damage in aluminum plate structures. This system is based on an impulse response excited by laser. A high power Nd:YAG pulse laser is used to produce an ideal impulse excitation via laser-ablation on an aluminum plate surface. The propagation, reflection and superposition of elastic wave will be happened in structures. Laser Doppler vibrometer is used for measuring data. And by means of spectrum analyzer and computer, wavelet transform is applied to analyze the waveform characteristics to detect and identify the location of the damage. The applicability of the present approach is validated by simulation and experimental results, demonstrating the ability of the method to detect and identify the location of damage induced on the aluminum plate structures.

KW - Damage Detection

KW - Impulse Response

KW - Laser Ablation

KW - Laser Excitation

KW - Vibration Test

KW - Wavelet Transform

UR - http://www.scopus.com/inward/record.url?scp=85045620613&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85045620613&partnerID=8YFLogxK

U2 - 10.1109/ICSensT.2017.8304432

DO - 10.1109/ICSensT.2017.8304432

M3 - Conference contribution

AN - SCOPUS:85045620613

VL - 2017-December

SP - 1

EP - 6

BT - 2017 11th International Conference on Sensing Technology, ICST 2017

PB - IEEE Computer Society

T2 - 11th International Conference on Sensing Technology, ICST 2017

Y2 - 4 December 2017 through 6 December 2017

ER -

Structural health monitoring based on laser excitation vibration test and wavelet transform

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this