Please use this identifier to cite or link to this item: https://doi.org/10.1080/07408170902906019
DC FieldValue
dc.titleA reliability modeling framework for the hard disk drive development process
dc.contributor.authorTang, L.C.
dc.contributor.authorLam, S.W.
dc.contributor.authorNg, Q.Y.
dc.contributor.authorGoh, J.S.
dc.date.accessioned2013-10-09T06:19:02Z
dc.date.available2013-10-09T06:19:02Z
dc.date.issued2010
dc.identifier.citationTang, L.C., Lam, S.W., Ng, Q.Y., Goh, J.S. (2010). A reliability modeling framework for the hard disk drive development process. IIE Transactions (Institute of Industrial Engineers) 42 (4) : 260-272. ScholarBank@NUS Repository. https://doi.org/10.1080/07408170902906019
dc.identifier.issn0740817X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/44221
dc.description.abstractMotivated by the fact that the major causes of catastrophic failure in micro hard disk drives are mostly induced by the presence of particles, a new particle-induced failure susceptibility metric, called the Cumulative Particle Counts (CPC), is proposed for managing reliability risk in a fast-paced hard disk drive product development process. This work is thought to represent the first successful attempt to predict particle-induced failure through an accelerated testing framework which leverages on existing streams of research for both particle-injection-based and inherent-particle-generation laboratory experiments to produce a practical reliability prediction framework. In particular, a new testing technique that injects particles into hard disk drives so as to increase the susceptibility of failure is introduced. The experimental results are then analyzed through a proposed framework which comprises the modeling of a CPC-to-failure distribution. The framework also requires the estimation of the growth curve for the CPC in a prime hard disk drive under normal operating conditions without particle injection. Both parametric and non-parametric inferences are presented for the estimation of the CPC growth curve. Statistical inferential procedures are developed in relation to a proposed non-linear CPC growth curve with a change-point. Finally, two applications of the framework to design selection during an actual hard disk drive development project and the subsequent assessment of reliability growth are discussed. © 2010 "IIE".
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/07408170902906019
dc.sourceScopus
dc.subjectAccelerated testing
dc.subjectChange-point
dc.subjectGeneralized non-linear models
dc.subjectHard disk drives
dc.subjectMonotone LOWESS
dc.subjectReliability improvement
dc.typeArticle
dc.contributor.departmentDECISION SCIENCES
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1080/07408170902906019
dc.description.sourcetitleIIE Transactions (Institute of Industrial Engineers)
dc.description.volume42
dc.description.issue4
dc.description.page260-272
dc.description.codenIIETD
dc.identifier.isiut000275284200002
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