An accelerated wear model for magnetic heads with respect to sensory data

Yu Wang; Hongrui Cao; Yanyang Zi; Xiongfei Wei; Kwok-Leung Tsui

doi:10.1109/PHM.2014.6988166

An accelerated wear model for magnetic heads with respect to sensory data

Yu Wang, Hongrui Cao, Yanyang Zi, Xiongfei Wei, Kwok-Leung Tsui

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

Head wear is becoming inevitable for currently hard disk drives, as they used a nano-level or sub-nano-level spacing to read and store data. Accurate characterization of the wear process can help understand the wear mechanism of head disk interaction and thus is critical in predicting the future evolution of wear and in guiding the design of HDDs of later vintages. Our previous work has put effort in developing the accelerated wear model whose stress information was obtained with aid of a finite element simulation. This paper considered a more general case that using a sensory data of stress information to replace the simulation. The results show that our model agrees well with the experiment.

Original language	English
Title of host publication	Proceedings of 2014 Prognostics and System Health Management Conference, PHM 2014
Publisher	IEEE
Pages	213-217
ISBN (Print)	9781479979585
DOIs	https://doi.org/10.1109/PHM.2014.6988166
Publication status	Published - 16 Dec 2014
Event	2014 Prognostics and System Health Management Conference, PHM 2014 - Zhangiiaijie City, China Duration: 24 Aug 2014 → 27 Aug 2014

Conference

Conference	2014 Prognostics and System Health Management Conference, PHM 2014
Place	China
City	Zhangiiaijie City
Period	24/08/14 → 27/08/14

Research Keywords

accelerated degradation model
head wear
sensory data
Wiener process

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10.1109/PHM.2014.6988166

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title = "An accelerated wear model for magnetic heads with respect to sensory data",

abstract = "Head wear is becoming inevitable for currently hard disk drives, as they used a nano-level or sub-nano-level spacing to read and store data. Accurate characterization of the wear process can help understand the wear mechanism of head disk interaction and thus is critical in predicting the future evolution of wear and in guiding the design of HDDs of later vintages. Our previous work has put effort in developing the accelerated wear model whose stress information was obtained with aid of a finite element simulation. This paper considered a more general case that using a sensory data of stress information to replace the simulation. The results show that our model agrees well with the experiment.",

keywords = "accelerated degradation model, head wear, sensory data, Wiener process",

author = "Yu Wang and Hongrui Cao and Yanyang Zi and Xiongfei Wei and Kwok-Leung Tsui",

year = "2014",

month = dec,

day = "16",

doi = "10.1109/PHM.2014.6988166",

language = "English",

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pages = "213--217",

booktitle = "Proceedings of 2014 Prognostics and System Health Management Conference, PHM 2014",

publisher = "IEEE",

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note = "2014 Prognostics and System Health Management Conference, PHM 2014 ; Conference date: 24-08-2014 Through 27-08-2014",

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Wang, Y, Cao, H, Zi, Y, Wei, X & Tsui, K-L 2014, An accelerated wear model for magnetic heads with respect to sensory data. in Proceedings of 2014 Prognostics and System Health Management Conference, PHM 2014., 6988166, IEEE, pp. 213-217, 2014 Prognostics and System Health Management Conference, PHM 2014, Zhangiiaijie City, China, 24/08/14. https://doi.org/10.1109/PHM.2014.6988166

An accelerated wear model for magnetic heads with respect to sensory data. / Wang, Yu; Cao, Hongrui; Zi, Yanyang et al.
Proceedings of 2014 Prognostics and System Health Management Conference, PHM 2014. IEEE, 2014. p. 213-217 6988166.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - An accelerated wear model for magnetic heads with respect to sensory data

AU - Wang, Yu

AU - Cao, Hongrui

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AU - Wei, Xiongfei

AU - Tsui, Kwok-Leung

PY - 2014/12/16

Y1 - 2014/12/16

N2 - Head wear is becoming inevitable for currently hard disk drives, as they used a nano-level or sub-nano-level spacing to read and store data. Accurate characterization of the wear process can help understand the wear mechanism of head disk interaction and thus is critical in predicting the future evolution of wear and in guiding the design of HDDs of later vintages. Our previous work has put effort in developing the accelerated wear model whose stress information was obtained with aid of a finite element simulation. This paper considered a more general case that using a sensory data of stress information to replace the simulation. The results show that our model agrees well with the experiment.

AB - Head wear is becoming inevitable for currently hard disk drives, as they used a nano-level or sub-nano-level spacing to read and store data. Accurate characterization of the wear process can help understand the wear mechanism of head disk interaction and thus is critical in predicting the future evolution of wear and in guiding the design of HDDs of later vintages. Our previous work has put effort in developing the accelerated wear model whose stress information was obtained with aid of a finite element simulation. This paper considered a more general case that using a sensory data of stress information to replace the simulation. The results show that our model agrees well with the experiment.

KW - accelerated degradation model

KW - head wear

KW - sensory data

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BT - Proceedings of 2014 Prognostics and System Health Management Conference, PHM 2014

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T2 - 2014 Prognostics and System Health Management Conference, PHM 2014

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ER -

An accelerated wear model for magnetic heads with respect to sensory data

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Research Keywords

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