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An Approach for Autonomous Damage Detection by Means of Modal Fingerprints

Perner, Marcus and Müller, Maik and Sinapius, Michael and Beikirch, Helmut (2011) An Approach for Autonomous Damage Detection by Means of Modal Fingerprints. Journal of Intelligent Material Systems and Structures, 22 (1), pp. 93-100. SAGE Publications. doi: 10.1177/1045389X10390252. ISSN 1045-389X.

Full text not available from this repository.

Official URL: http://jim.sagepub.com/content/22/1/93.abstract?etoc


This article discusses whether elastic and plastic impacts and scratches caused by applied forces (e.g., car bump, key scratch etc.) to a parked vehicle can be distinguished by an autonomous system. The authors assume that a force impact to a vehicle stimulates characteristic frequencies in the vehicle body shell components that can be used to distinguish the given damages. Eight piezoelectric film sensors made of polyvinylidene fluoride mounted at the inside of the vehicle body shell components doors, bumpers, bonnet, and tailgate are used as the sensing element. An experimental modal analysis of several vehicle components is performed to identify characteristic frequencies. The results are used to compute the best sensor position in order to detect all considered eigenfrequencies of the component. A constructed model set up for force generation was used to record reference data. Derived features of the reference signals are computed and assessed to their relevance of distinguishing the damages on the vehicle.

Item URL in elib:https://elib.dlr.de/68995/
Document Type:Article
Title:An Approach for Autonomous Damage Detection by Means of Modal Fingerprints
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Müller, MaikVW AG Group Research, WolfsburgUNSPECIFIED
Beikirch, HelmutFaculty of Computer Science and Electrical Engineering, University of RostockUNSPECIFIED
Date:January 2011
Journal or Publication Title:Journal of Intelligent Material Systems and Structures
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 93-100
EditorsEmailEditor's ORCID iD
Inman, Daniel J.Virginia Tech, USAUNSPECIFIED
Publisher:SAGE Publications
Keywords:polyvinylidene fluoride, signal analysis, modal analysis, piezoelectricity, feature relevance, sensor positioning
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:other
DLR - Research area:Transport
DLR - Program:V - no assignment
DLR - Research theme (Project):V - no assignment
Location: Braunschweig
Institutes and Institutions:Institute of Composite Structures and Adaptive Systems > Adaptronics
Deposited By: Ries, Doris
Deposited On:17 Feb 2011 10:16
Last Modified:28 Jul 2022 16:42

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