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Applying Wavelet Analysis to S.M.A.R.T. 1 for Hard Drive Classification

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dc.access.optionOpen Access
dc.contributor.advisorRandriampiry, Njinasoa
dc.contributor.authorChilders, Logan
dc.contributor.departmentMathematics
dc.date.accessioned2019-03-07T18:51:04Z
dc.date.available2019-03-07T18:51:04Z
dc.date.created2018-12
dc.date.issued2018-12-07
dc.date.submittedDecember 2018
dc.date.updated2019-03-07T14:41:37Z
dc.degree.departmentMathematics
dc.degree.disciplineMathematics
dc.degree.grantorEast Carolina University
dc.degree.levelUndergraduate
dc.degree.nameBS
dc.description.abstractWavelet analysis is applied to the problem of predicting hard disk failure by examining S.M.A.R.T. stat 1, one of several measures of performance maintained by hard drives. Once the discrete wavelet transform is performed for each hard drive’s data, computationally simple measures are taken on the detail coefficients of the transforms. These measures are then examined in aggregate to determine whether S.M.A.R.T. stat 1 possesses any indicator for imminent hard disk failure. The resulting analysis found no factors specific to any metric of the living or dead hard drive populations indicative of hard disk failure.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10342/7096
dc.publisherEast Carolina University
dc.subjectwavelets
dc.subjecthard disk failure
dc.subjectdiscrete wavelet transform
dc.subjectS.M.A.R.T.
dc.titleApplying Wavelet Analysis to S.M.A.R.T. 1 for Hard Drive Classification
dc.typeHonors Thesis
dc.type.materialtext

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