Health assessment and prognostics of electronic products

Jie Gu; Daniel Lau; Michael Pecht

doi:10.1109/ICRMS.2009.5269967

Health assessment and prognostics of electronic products

Jie Gu, Daniel Lau, Michael Pecht

Department of Electrical Engineering

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

14 Citations (Scopus)

Abstract

Traditional reliability predictions based on handbook methods are inaccurate and misleading. In this paper, we will show a prognostics and health management (PHM) approach, which is more suitable for reliability (remaining life) assessment, since it considers actual operational and environmental loading condition for individual product. The process for PHM implement to electronics has been discussed, as well as numerical implementation examples for both industry and defense purposes. © 2009 IEEE.

Original language	English
Title of host publication	Proceedings of 2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009
Pages	912-919
DOIs	https://doi.org/10.1109/ICRMS.2009.5269967
Publication status	Published - 2009
Event	2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009 - Chengdu, China Duration: 20 Jul 2009 → 24 Jul 2009

Conference

Conference	2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009
Place	China
City	Chengdu
Period	20/07/09 → 24/07/09

Research Keywords

Electronics
Health management
Prognostics
Reliability prediction

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10.1109/ICRMS.2009.5269967

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title = "Health assessment and prognostics of electronic products",

abstract = "Traditional reliability predictions based on handbook methods are inaccurate and misleading. In this paper, we will show a prognostics and health management (PHM) approach, which is more suitable for reliability (remaining life) assessment, since it considers actual operational and environmental loading condition for individual product. The process for PHM implement to electronics has been discussed, as well as numerical implementation examples for both industry and defense purposes. {\textcopyright} 2009 IEEE.",

keywords = "Electronics, Health management, Prognostics, Reliability prediction",

author = "Jie Gu and Daniel Lau and Michael Pecht",

year = "2009",

doi = "10.1109/ICRMS.2009.5269967",

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isbn = "9781424449057",

pages = "912--919",

booktitle = "Proceedings of 2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009",

note = "2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009 ; Conference date: 20-07-2009 Through 24-07-2009",

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Gu, J, Lau, D & Pecht, M 2009, Health assessment and prognostics of electronic products. in Proceedings of 2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009., 5269967, pp. 912-919, 2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009, Chengdu, China, 20/07/09. https://doi.org/10.1109/ICRMS.2009.5269967

Health assessment and prognostics of electronic products. / Gu, Jie; Lau, Daniel; Pecht, Michael.
Proceedings of 2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009. 2009. p. 912-919 5269967.

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

TY - GEN

T1 - Health assessment and prognostics of electronic products

AU - Gu, Jie

AU - Lau, Daniel

AU - Pecht, Michael

PY - 2009

Y1 - 2009

N2 - Traditional reliability predictions based on handbook methods are inaccurate and misleading. In this paper, we will show a prognostics and health management (PHM) approach, which is more suitable for reliability (remaining life) assessment, since it considers actual operational and environmental loading condition for individual product. The process for PHM implement to electronics has been discussed, as well as numerical implementation examples for both industry and defense purposes. © 2009 IEEE.

AB - Traditional reliability predictions based on handbook methods are inaccurate and misleading. In this paper, we will show a prognostics and health management (PHM) approach, which is more suitable for reliability (remaining life) assessment, since it considers actual operational and environmental loading condition for individual product. The process for PHM implement to electronics has been discussed, as well as numerical implementation examples for both industry and defense purposes. © 2009 IEEE.

KW - Electronics

KW - Health management

KW - Prognostics

KW - Reliability prediction

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DO - 10.1109/ICRMS.2009.5269967

M3 - RGC 32 - Refereed conference paper (with host publication)

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EP - 919

BT - Proceedings of 2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009

T2 - 2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009

Y2 - 20 July 2009 through 24 July 2009

ER -

Health assessment and prognostics of electronic products

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