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

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    Author
    Childers, Logan G
    Abstract
    Wavelet 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.
    URI
    http://hdl.handle.net/10342/7096
    Subject
     wavelets; hard disk failure; discrete wavelet transform; S.M.A.R.T. 
    Date
    2018-12-07
    Citation:
    APA:
    Childers, Logan G. (December 2018). Applying Wavelet Analysis to S.M.A.R.T. 1 for Hard Drive Classification (Honors Thesis, East Carolina University). Retrieved from the Scholarship. (http://hdl.handle.net/10342/7096.)

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    MLA:
    Childers, Logan G. Applying Wavelet Analysis to S.M.A.R.T. 1 for Hard Drive Classification. Honors Thesis. East Carolina University, December 2018. The Scholarship. http://hdl.handle.net/10342/7096. August 07, 2022.
    Chicago:
    Childers, Logan G, “Applying Wavelet Analysis to S.M.A.R.T. 1 for Hard Drive Classification” (Honors Thesis., East Carolina University, December 2018).
    AMA:
    Childers, Logan G. Applying Wavelet Analysis to S.M.A.R.T. 1 for Hard Drive Classification [Honors Thesis]. Greenville, NC: East Carolina University; December 2018.
    Collections
    • Honors College
    Publisher
    East Carolina University

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