Please use this identifier to cite or link to this item:
https://doi.org/10.1080/07408170902906019
DC Field | Value | |
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dc.title | A reliability modeling framework for the hard disk drive development process | |
dc.contributor.author | Tang, L.C. | |
dc.contributor.author | Lam, S.W. | |
dc.contributor.author | Ng, Q.Y. | |
dc.contributor.author | Goh, J.S. | |
dc.date.accessioned | 2013-10-09T06:19:02Z | |
dc.date.available | 2013-10-09T06:19:02Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Tang, 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.issn | 0740817X | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/44221 | |
dc.description.abstract | Motivated 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.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/07408170902906019 | |
dc.source | Scopus | |
dc.subject | Accelerated testing | |
dc.subject | Change-point | |
dc.subject | Generalized non-linear models | |
dc.subject | Hard disk drives | |
dc.subject | Monotone LOWESS | |
dc.subject | Reliability improvement | |
dc.type | Article | |
dc.contributor.department | DECISION SCIENCES | |
dc.contributor.department | INDUSTRIAL & SYSTEMS ENGINEERING | |
dc.description.doi | 10.1080/07408170902906019 | |
dc.description.sourcetitle | IIE Transactions (Institute of Industrial Engineers) | |
dc.description.volume | 42 | |
dc.description.issue | 4 | |
dc.description.page | 260-272 | |
dc.description.coden | IIETD | |
dc.identifier.isiut | 000275284200002 | |
Appears in Collections: | Staff Publications |
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