A task health measurement method based on complex equipment working time prediction

Dapeng Zhang; Chuan Lu; Dong Zhou; Yuting Jiao

doi:10.1109/phm.2015.7380100

A task health measurement method based on complex equipment working time prediction

Dapeng Zhang, Chuan Lu, Dong Zhou, Yuting Jiao

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper analyzes the development of PHM technology in mechanical, electronic and other systems. Based on the life prediction ability of the PHM (prognostic health management) technology and task decomposition of complex equipment system, a quantitative method combining set pair analysis for evaluating the degree of task health is obtained. A specific case is analyzed based on this approach. At last, the characteristics and limitations of the method are also summarized.

Original language	English
Title of host publication	Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015
Editors	Tingdi Zhao, Michael G. Pecht, Shunong Zhang
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467385534
DOIs	https://doi.org/10.1109/phm.2015.7380100
State	Published - 12 Jan 2016
Externally published	Yes
Event	Prognostics and System Health Management Conference, PHM 2015 - Beijing, China Duration: 21 Oct 2015 → 23 Oct 2015

Publication series

Name	Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015

Conference

Conference	Prognostics and System Health Management Conference, PHM 2015
Country/Territory	China
City	Beijing
Period	21/10/15 → 23/10/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

life prediction
set pair analysis
task decomposition
task health

Access to Document

10.1109/phm.2015.7380100

Cite this

Zhang, D., Lu, C., Zhou, D., & Jiao, Y. (2016). A task health measurement method based on complex equipment working time prediction. In T. Zhao, M. G. Pecht, & S. Zhang (Eds.), Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015 Article 7380100 (Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/phm.2015.7380100

Zhang, Dapeng ; Lu, Chuan ; Zhou, Dong et al. / A task health measurement method based on complex equipment working time prediction. Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015. editor / Tingdi Zhao ; Michael G. Pecht ; Shunong Zhang. Institute of Electrical and Electronics Engineers Inc., 2016. (Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015).

@inproceedings{2259d64d06934013b779f39d18dc3164,

title = "A task health measurement method based on complex equipment working time prediction",

abstract = "This paper analyzes the development of PHM technology in mechanical, electronic and other systems. Based on the life prediction ability of the PHM (prognostic health management) technology and task decomposition of complex equipment system, a quantitative method combining set pair analysis for evaluating the degree of task health is obtained. A specific case is analyzed based on this approach. At last, the characteristics and limitations of the method are also summarized.",

keywords = "life prediction, set pair analysis, task decomposition, task health",

author = "Dapeng Zhang and Chuan Lu and Dong Zhou and Yuting Jiao",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Prognostics and System Health Management Conference, PHM 2015 ; Conference date: 21-10-2015 Through 23-10-2015",

year = "2016",

month = jan,

day = "12",

doi = "10.1109/phm.2015.7380100",

language = "אנגלית",

series = "Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Tingdi Zhao and Pecht, {Michael G.} and Shunong Zhang",

booktitle = "Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015",

address = "ארצות הברית",

}

Zhang, D, Lu, C, Zhou, D & Jiao, Y 2016, A task health measurement method based on complex equipment working time prediction. in T Zhao, MG Pecht & S Zhang (eds), Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015., 7380100, Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015, Institute of Electrical and Electronics Engineers Inc., Prognostics and System Health Management Conference, PHM 2015, Beijing, China, 21/10/15. https://doi.org/10.1109/phm.2015.7380100

A task health measurement method based on complex equipment working time prediction. / Zhang, Dapeng; Lu, Chuan; Zhou, Dong et al.
Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015. ed. / Tingdi Zhao; Michael G. Pecht; Shunong Zhang. Institute of Electrical and Electronics Engineers Inc., 2016. 7380100 (Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A task health measurement method based on complex equipment working time prediction

AU - Zhang, Dapeng

AU - Lu, Chuan

AU - Zhou, Dong

AU - Jiao, Yuting

PY - 2016/1/12

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N2 - This paper analyzes the development of PHM technology in mechanical, electronic and other systems. Based on the life prediction ability of the PHM (prognostic health management) technology and task decomposition of complex equipment system, a quantitative method combining set pair analysis for evaluating the degree of task health is obtained. A specific case is analyzed based on this approach. At last, the characteristics and limitations of the method are also summarized.

AB - This paper analyzes the development of PHM technology in mechanical, electronic and other systems. Based on the life prediction ability of the PHM (prognostic health management) technology and task decomposition of complex equipment system, a quantitative method combining set pair analysis for evaluating the degree of task health is obtained. A specific case is analyzed based on this approach. At last, the characteristics and limitations of the method are also summarized.

KW - life prediction

KW - set pair analysis

KW - task decomposition

KW - task health

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A2 - Zhao, Tingdi

A2 - Pecht, Michael G.

A2 - Zhang, Shunong

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Prognostics and System Health Management Conference, PHM 2015

Y2 - 21 October 2015 through 23 October 2015

ER -

Zhang D, Lu C, Zhou D, Jiao Y. A task health measurement method based on complex equipment working time prediction. In Zhao T, Pecht MG, Zhang S, editors, Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015. Institute of Electrical and Electronics Engineers Inc. 2016. 7380100. (Proceedings of 2015 Prognostics and System Health Management Conference, PHM 2015). doi: 10.1109/phm.2015.7380100

A task health measurement method based on complex equipment working time prediction

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Bibliographical note

Keywords

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