Hidden Markov Model for Hard Disk Drive Failure Detection

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dc.contributor.authorHarish, A.
dc.contributor.authorPrakash, G.
dc.contributor.authorNair, R.R.
dc.contributor.authorIyer, V.B.
dc.contributor.authorMohan, B.R.
dc.contributor.authorDas, M.
dc.date.accessioned2026-02-06T06:34:07Z
dc.date.issued2024
dc.description.abstractUnderstanding disk failures is crucial for both disk manufacturers and users, enabling the production of more dependable disk drives and the establishment of robust storage systems. Detecting disk failure has been found to be facilitated by the use of observable disk properties, especially those provided by the Self-Monitoring and Reporting Technology (SMART) system. In our paper, we leverage the capabilities of the SMART time series dataset to achieve an overall accuracy of 92% in disk failure detection. © 2024 IEEE.
dc.identifier.citation2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024, 2024, Vol., , p. -
dc.identifier.urihttps://doi.org/10.1109/IATMSI60426.2024.10502467
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/29072
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectClustering
dc.subjectDisk Failure
dc.subjectHidden Markov Model
dc.subjectSMART
dc.titleHidden Markov Model for Hard Disk Drive Failure Detection

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