Damage Localisation by Residual Energy from Multiple-Input Finite Impulse Response Prognosis

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Details

Original languageEnglish
Title of host publicationEuropean Workshop on Structural Health Monitoring
Subtitle of host publicationSpecial Collection of 2020 PapersSpecial Collection of 2020 Papers
EditorsPiervincenzo Rizzo, Alberto Milazzo
Place of PublicationCham
Pages711-719
Number of pages9
Volume2
ISBN (electronic)978-3-030-64908-1
Publication statusPublished - 9 Jan 2021
Event10th European Workshop on Structural Health Monitoring -
Duration: 6 Jul 20209 Jul 2020
Conference number: 10

Publication series

NameLecture Notes in Civil Engineering
Volume128
ISSN (Print)2366-2557
ISSN (electronic)2366-2565

Abstract

We present a method for damage detection and localisation based on multiple-input finite impulse responses. A validation is carried out using measurement data obtained for a girder mast structure. The damage localisation using output-only vibration measurement data of beam-like structures has been a research topic for a long time and many methods have been developed to tackle the problem. However, the identification of finite impulse response filters with multiple inputs has not yet been covered in great detail in the context of these SHM methods. To localise structural damage, first the healthy structure is dynamically excited and finite impulse filters are derived using acceleration sensor data. In this process, we use multiple adjacent sensors as an input to derive the impulse response on a local level in the girder mast structure. The derived filters are applied to obtain an estimation of the transient response for healthy as well as damaged states. Residual signal energies between measured and predicted data are calculated, which increase locally when structural damages occur, enabling the localisation. The outlined damage localisation method, which solely relies on finite impulse responses as an output-only model of the structure, yields promising results in experimental validation.

Keywords

    Damage localisation, Finite impulse response, Residual energy, Structural dynamics, Vibration estimation

ASJC Scopus subject areas

Cite this

Damage Localisation by Residual Energy from Multiple-Input Finite Impulse Response Prognosis. / Hofmeister, Benedikt; Jonscher, Clemens; Hübler, Clemens et al.
European Workshop on Structural Health Monitoring: Special Collection of 2020 PapersSpecial Collection of 2020 Papers. ed. / Piervincenzo Rizzo; Alberto Milazzo. Vol. 2 Cham, 2021. p. 711-719 (Lecture Notes in Civil Engineering; Vol. 128).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Hofmeister, B, Jonscher, C, Hübler, C & Rolfes, R 2021, Damage Localisation by Residual Energy from Multiple-Input Finite Impulse Response Prognosis. in P Rizzo & A Milazzo (eds), European Workshop on Structural Health Monitoring: Special Collection of 2020 PapersSpecial Collection of 2020 Papers. vol. 2, Lecture Notes in Civil Engineering, vol. 128, Cham, pp. 711-719, 10th European Workshop on Structural Health Monitoring, 6 Jul 2020. https://doi.org/10.1007/978-3-030-64908-1_66
Hofmeister, B., Jonscher, C., Hübler, C., & Rolfes, R. (2021). Damage Localisation by Residual Energy from Multiple-Input Finite Impulse Response Prognosis. In P. Rizzo, & A. Milazzo (Eds.), European Workshop on Structural Health Monitoring: Special Collection of 2020 PapersSpecial Collection of 2020 Papers (Vol. 2, pp. 711-719). (Lecture Notes in Civil Engineering; Vol. 128).. https://doi.org/10.1007/978-3-030-64908-1_66
Hofmeister B, Jonscher C, Hübler C, Rolfes R. Damage Localisation by Residual Energy from Multiple-Input Finite Impulse Response Prognosis. In Rizzo P, Milazzo A, editors, European Workshop on Structural Health Monitoring: Special Collection of 2020 PapersSpecial Collection of 2020 Papers. Vol. 2. Cham. 2021. p. 711-719. (Lecture Notes in Civil Engineering). doi: 10.1007/978-3-030-64908-1_66
Hofmeister, Benedikt ; Jonscher, Clemens ; Hübler, Clemens et al. / Damage Localisation by Residual Energy from Multiple-Input Finite Impulse Response Prognosis. European Workshop on Structural Health Monitoring: Special Collection of 2020 PapersSpecial Collection of 2020 Papers. editor / Piervincenzo Rizzo ; Alberto Milazzo. Vol. 2 Cham, 2021. pp. 711-719 (Lecture Notes in Civil Engineering).
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AU - Hübler, Clemens

AU - Rolfes, Raimund

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N2 - We present a method for damage detection and localisation based on multiple-input finite impulse responses. A validation is carried out using measurement data obtained for a girder mast structure. The damage localisation using output-only vibration measurement data of beam-like structures has been a research topic for a long time and many methods have been developed to tackle the problem. However, the identification of finite impulse response filters with multiple inputs has not yet been covered in great detail in the context of these SHM methods. To localise structural damage, first the healthy structure is dynamically excited and finite impulse filters are derived using acceleration sensor data. In this process, we use multiple adjacent sensors as an input to derive the impulse response on a local level in the girder mast structure. The derived filters are applied to obtain an estimation of the transient response for healthy as well as damaged states. Residual signal energies between measured and predicted data are calculated, which increase locally when structural damages occur, enabling the localisation. The outlined damage localisation method, which solely relies on finite impulse responses as an output-only model of the structure, yields promising results in experimental validation.

AB - We present a method for damage detection and localisation based on multiple-input finite impulse responses. A validation is carried out using measurement data obtained for a girder mast structure. The damage localisation using output-only vibration measurement data of beam-like structures has been a research topic for a long time and many methods have been developed to tackle the problem. However, the identification of finite impulse response filters with multiple inputs has not yet been covered in great detail in the context of these SHM methods. To localise structural damage, first the healthy structure is dynamically excited and finite impulse filters are derived using acceleration sensor data. In this process, we use multiple adjacent sensors as an input to derive the impulse response on a local level in the girder mast structure. The derived filters are applied to obtain an estimation of the transient response for healthy as well as damaged states. Residual signal energies between measured and predicted data are calculated, which increase locally when structural damages occur, enabling the localisation. The outlined damage localisation method, which solely relies on finite impulse responses as an output-only model of the structure, yields promising results in experimental validation.

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