Applying Wavelet Analysis to S.M.A.R.T. 1 for Hard Drive Classification
Author
Childers, Logan
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.
Date
2018-12-07
Citation:
APA:
Childers, Logan.
(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.)
MLA:
Childers, Logan.
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.
September 24, 2023.
Chicago:
Childers, Logan,
“Applying Wavelet Analysis to S.M.A.R.T. 1 for Hard Drive Classification”
(Honors Thesis., East Carolina University,
December 2018).
AMA:
Childers, Logan.
Applying Wavelet Analysis to S.M.A.R.T. 1 for Hard Drive Classification
[Honors Thesis]. Greenville, NC: East Carolina University;
December 2018.
Collections
Publisher
East Carolina University