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dc.contributor.authorSharkh, SM
dc.contributor.authorHendijanizadeh, M
dc.contributor.authorMoshrefi-Torbati, M
dc.contributor.authorAbusara, MA
dc.date.accessioned2016-05-16T12:54:40Z
dc.date.issued2014
dc.description.abstractAccelerometers are used to measure velocity and displacement in many applications such as ship motion, monitoring of civil and mechanical structure, seismology and machine condition monitoring. However, using direct numerical integration to calculate velocity and displacement from the acceleration signal is known to suffer from low frequency noise amplification and wind-up. In this paper, a Kalman filter based method is proposed for calculating displacement from measured acceleration. Integration wind-up is eliminated by incorporating an additional state variable, namely the integral of the displacement whose "measured" value is assumed to be equal to the known average value of the displacement. In many applications, such as those in marine environment, this average value can be assumed to be constant, usually conveniently assigned to be zero if non-linear behaviour and permanent deformations are deemed negligible. The paper describes the technique and investigates its performance under different conditions of amplitude and frequency of vibrations and sampling rate and validates it by conducting two laboratory experiments. In the first experiment the displacement of a small shaker is calculated from a relatively high frequency (tens of Hz) acceleration signal sampled at 1 kHz with a resolution of 1 g. The calculated displacement of the shaker is found to agree well with that measured using a high resolution laser. In the second experiment, the proposed method is applied to the calculation of the vertical displacement of a boat from a low frequency (less than 1 Hz) acceleration signal sampled at 5 Hz and a resolution of 0.01g. An experimental set up designed to mimic typical motion of a boat is used to validate the results. Although the method explained in this paper is used to calculate the vertical displacement of a boat, it can be applied for calculating the displacement in a wide range of applications with reciprocating movement.en_GB
dc.description.sponsorshipThe authors wish to thank Mr Mike Russell for his financial support and for collecting boat motion data. They also wish to thank Mr L. Auboin for his help with collecting boat motion data and conducting simulated boat motion lab experiments. Thanks are also due to Dr Jamil Renno for facilitating the high-frequency vibration experiments.en_GB
dc.identifier.citationVol. 2, pp. 24-30en_GB
dc.identifier.urihttp://hdl.handle.net/10871/21558
dc.language.isoenen_GB
dc.publisherScience and Engineering Publishing Companyen_GB
dc.rightsOpen access under a under Creative Commons Attribution-NonCommercial-NoDeriv 2.5 License: http://creativecommons.org/licenses/by-nc-nd/2.5/en_GB
dc.subjectBoat Motionen_GB
dc.subjectDisplacement Calculationen_GB
dc.subjectIntegration Wind-upen_GB
dc.subjectKalman Filteren_GB
dc.subjectNon-stationary Signalsen_GB
dc.titleA novel Kalman filter based technique for calculating the time history of vertical displacement of a boat from measured accelerationen_GB
dc.typeArticleen_GB
dc.date.available2016-05-16T12:54:40Z
dc.descriptionThis is the final version of the article. Available from Science and Engineering Publishing Companyen_GB
dc.identifier.journalMarine Engineering Frontiersen_GB


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