Feature Comparison in Structural Health Monitoring of a Vehicle Crane
Vibration-based structural health monitoring of a vehicle crane was studied. The performance of different features to detect damage was investigated after eliminating the normal operational variations using factor analysis. Using eight accelerometers, ten AR parameters from each record were identifi...
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Format: | Article |
Language: | English |
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Wiley
2008-01-01
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2008/841715 |
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author | J. Kullaa T. Heine |
author_facet | J. Kullaa T. Heine |
author_sort | J. Kullaa |
collection | DOAJ |
description | Vibration-based structural health monitoring of a vehicle crane was studied. The performance of different features to detect damage was investigated after eliminating the normal operational variations using factor analysis. Using eight accelerometers, ten AR parameters from each record were identified for damage detection. Also transmissibilities between sensors were estimated. Damage was introduced with additional masses at different locations of the structure. All damage cases could be detected from either features using control charts, but transmissibilities proved to be more sensitive to damage than the AR coefficients. |
format | Article |
id | doaj-art-25272bb3f74841119a102d2ade3a8089 |
institution | Kabale University |
issn | 1070-9622 1875-9203 |
language | English |
publishDate | 2008-01-01 |
publisher | Wiley |
record_format | Article |
series | Shock and Vibration |
spelling | doaj-art-25272bb3f74841119a102d2ade3a80892025-02-03T06:15:12ZengWileyShock and Vibration1070-96221875-92032008-01-01153-420721510.1155/2008/841715Feature Comparison in Structural Health Monitoring of a Vehicle CraneJ. Kullaa0T. Heine1Helsinki Polytechnic Stadia, P.O. Box 4021, FIN-00099, Helsinki, FinlandHelsinki Polytechnic Stadia, P.O. Box 4021, FIN-00099, Helsinki, FinlandVibration-based structural health monitoring of a vehicle crane was studied. The performance of different features to detect damage was investigated after eliminating the normal operational variations using factor analysis. Using eight accelerometers, ten AR parameters from each record were identified for damage detection. Also transmissibilities between sensors were estimated. Damage was introduced with additional masses at different locations of the structure. All damage cases could be detected from either features using control charts, but transmissibilities proved to be more sensitive to damage than the AR coefficients.http://dx.doi.org/10.1155/2008/841715 |
spellingShingle | J. Kullaa T. Heine Feature Comparison in Structural Health Monitoring of a Vehicle Crane Shock and Vibration |
title | Feature Comparison in Structural Health Monitoring of a Vehicle Crane |
title_full | Feature Comparison in Structural Health Monitoring of a Vehicle Crane |
title_fullStr | Feature Comparison in Structural Health Monitoring of a Vehicle Crane |
title_full_unstemmed | Feature Comparison in Structural Health Monitoring of a Vehicle Crane |
title_short | Feature Comparison in Structural Health Monitoring of a Vehicle Crane |
title_sort | feature comparison in structural health monitoring of a vehicle crane |
url | http://dx.doi.org/10.1155/2008/841715 |
work_keys_str_mv | AT jkullaa featurecomparisoninstructuralhealthmonitoringofavehiclecrane AT theine featurecomparisoninstructuralhealthmonitoringofavehiclecrane |