A novel approach to damage localisation based on bispectral analysis and neural network

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dc.contributor.authorCivera, M.
dc.contributor.authorZanotti Fragonara, Luca
dc.contributor.authorSurace, C.
dc.date.accessioned2018-02-08T15:02:53Z
dc.date.available2018-02-08T15:02:53Z
dc.date.issued2017-12-31
dc.description.abstractThe normalised version of bispectrum, the so-called bicoherence, has often proved a reliable method of damage detection on engineering applications. Indeed, higher-order spectral analysis (HOSA) has the advantage of being able to detect non-linearity in the structural dynamic response while being insensitive to ambient vibrations. Skewness in the response may be easily spotted and related to damage conditions, as the majority of common faults and cracks shows bilinear effects. The present study tries to extend the application of HOSA to damage localisation, resorting to a neural network based classification algorithm. In order to validate the approach, a non-linear finite element model of a 4-meters-long cantilever beam has been built. This model could be seen as a first generic concept of more complex structural systems, such as aircraft wings, wind turbine blades, etc. The main aim of the study is to train a Neural Network (NN) able to classify different damage locations, when fed with bispectra. These are computed using the dynamic response of the FE nonlinear model to random noise excitation.en_UK
dc.identifier.citationM. Civera, L. Zanotti Fragonara, C. Surace. (2017) A novel approach to damage localisation based on bispectral analysis and neural network. Smart Structures and Systems, Volume 20, Issue 6, pp. 669-682en_UK
dc.identifier.issn1738-1584
dc.identifier.urihttp://dx.doi.org/10.12989/sss.2017.20.6.669
dc.identifier.urihttp://www.techno-press.org/?page=container&journal=sss&volume=20νm=6#
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12970
dc.language.isoenen_UK
dc.publisherTechno Pressen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectstructural health monitoringen_UK
dc.subjectdamage detectionen_UK
dc.subjecthigher-order spectral analysisen_UK
dc.subjectbispectrumen_UK
dc.subjectneural networken_UK
dc.subjectnon-linear vibrationsen_UK
dc.subjectbreathing cracken_UK
dc.titleA novel approach to damage localisation based on bispectral analysis and neural networken_UK
dc.typeArticleen_UK

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