Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Machine Learning Techniques for Structural Health Monitoring Read chapter Read first chapter

2020 | OriginalPaper | Chapter

A Damage Detection Method by Transient Damping Feature Based on Monitoring Data

Author : Ayaho Miyamoto

Published in: Proceedings of the 13th International Conference on Damage Assessment of Structures

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper introduces the details of a transient damping feature extracting method based on the bridge monitoring data with the aid of the frequency slice wavelet transform (FSWT) which is a time-frequency space analysis tool and its application to damage detection of the bridges. The proposed method via the state representation methodology (SRM) algorithm has been verified by the state probably density distribution using the vibration signal from a laboratory bridge monitoring system. As a result, the system state vector as a non-parametric state variable will be able to apply to assess the state change (damage) of the bridge structures by expression of the state probably density distribution.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Bridge Monitoring Using Geophones: Test and Comparison with Interferometric Radar
next chapter Finite Element Modelling and Damage Detection of Seam Weld
Literature
1.
Miyamoto, A: Usage management of civil structures. In: Boller, C., Chang, F., Fujino, Y. (eds.) Encyclopedia of Structural Health Monitoring, vol. 4, pp. 1635–1671. Wiley, Oxford, UK (2009)
2.
3.
Yan, Z.-H., Miyamoto, A., Jiang, Z.-W.: Frequency slice wavelet transform for transient vibration response analysis. Mech. Syst. Signal Process. 23(5), 1474–1489 (2009)CrossRef
4.
Yan, Z.-H., Miyamoto, A.: State Representation Methodology (SRM) and Its Application to Bridge Condition Assessment, Lifetime Management Book No. 9, The Research Center for Environmental Safety, Yamaguchi University (2009)
5.
Miyamoto, A., Yabe, A., Yan, Z.-H.: Chapter 11: A new damage detection method for bridge condition assessment in structural health monitoring (SHM). In: Yurish, S.Y. (ed.) Advances in Signal Processing: Reviews, IFSA Book Series, vol. 1, pp. 407–479. International Frequency Sensor Association (IFSA), Barcelona, Spain (2018)
6.
Cristianini, N., Shawe-Tayor, J.: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Cambridge University Press, Cambridge, UK (2000)
7.
Daubechies, I.: Ten Lecture on Wavelets, CBMS-NSF regional conference series in applied mathematics, vol. 61. SIAM, Philadelphia, USA (1992)
8.
9.
Miyamoto, A., Brühwiler, E.: Damage detection method based on state representation methodology (SRM). In: Proceedings of the 4th Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures (SMAR 2017), Zurich, Switzerland, Paper No. 15, pp. 1–10, 2017
10.
Masson, G., Cogan, S., Bouhaddi, N., Lombard, J.P., Bonini, J.: Parameterized reduced models for efficient optimization of structural dynamic behavior. AIAA-2002-1392, American Institute of Aeronautics in Astronautics, 2002
Metadata
Title
A Damage Detection Method by Transient Damping Feature Based on Monitoring Data
Author
Ayaho Miyamoto
Copyright Year
2020
Publisher
Springer Singapore
Book
Proceedings of the 13th International Conference on Damage Assessment of Structures

Print ISBN: 978-981-13-8330-4

Electronic ISBN: 978-981-13-8331-1

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-13-8331-1_3

Premium Partners

    Image Credits