Document Detail


Damage identification using inverse methods.
MedLine Citation:
PMID:  17255045     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper gives an overview of the use of inverse methods in damage detection and location, using measured vibration data. Inverse problems require the use of a model and the identification of uncertain parameters of this model. Damage is often local in nature and although the effect of the loss of stiffness may require only a small number of parameters, the lack of knowledge of the location means that a large number of candidate parameters must be included. This paper discusses a number of problems that exist with this approach to health monitoring, including modelling error, environmental effects, damage localization and regularization.
Authors:
Michael I Friswell
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Philosophical transactions. Series A, Mathematical, physical, and engineering sciences     Volume:  365     ISSN:  1364-503X     ISO Abbreviation:  Philos Trans A Math Phys Eng Sci     Publication Date:  2007 Feb 
Date Detail:
Created Date:  2007-01-26     Completed Date:  2007-03-27     Revised Date:  2013-04-24    
Medline Journal Info:
Nlm Unique ID:  101133385     Medline TA:  Philos Trans A Math Phys Eng Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  393-410     Citation Subset:  IM    
Affiliation:
Department of Aerospace Engineering, University of Bristol, Bristol BS8 1TR, UK. m.i.friswell@bristol.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Computer Simulation
Construction Materials / analysis*
Engineering / instrumentation,  methods
Equipment Design
Equipment Failure Analysis / instrumentation,  methods*
Facility Design and Construction / instrumentation,  methods*
Maintenance / methods
Materials Testing / methods*
Models, Theoretical*
Signal Processing, Computer-Assisted
Transducers
Vibration

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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