A Just-In-Time-Learning Based Data-driven Method for Valve Failure Prognostics

Xiaochuan Li; David Mba; Panagiotis Loukopoulos

doi:10.1109/PHM-Jinan48558.2020.00084

A Just-In-Time-Learning Based Data-driven Method for Valve Failure Prognostics

Xiaochuan Li, David Mba, Panagiotis Loukopoulos

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

1 Citation (Scopus)

Original language	English
Title of host publication	Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020
Editors	Chuan Li, Dejan Gjorgjevikj, Zhe Yang, Ziqiang Pu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	434-438
Number of pages	5
ISBN (Electronic)	9781728151816
DOIs	https://doi.org/10.1109/PHM-Jinan48558.2020.00084
Publication status	Published (VoR) - Oct 2020
Event	11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020 - Virtual, Jinan, China Duration: 23 Oct 2020 → 25 Oct 2020

Publication series

Name	Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020

Conference

Conference	11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020
Country/Territory	China
City	Virtual, Jinan
Period	23/10/20 → 25/10/20

Keywords

gradient boosting decision tree
just-in-time-learning
remaining useful life
valve

Access to Document

10.1109/PHM-Jinan48558.2020.00084

Cite this

Li, X., Mba, D., & Loukopoulos, P. (2020). A Just-In-Time-Learning Based Data-driven Method for Valve Failure Prognostics. In C. Li, D. Gjorgjevikj, Z. Yang, & Z. Pu (Eds.), Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020 (pp. 434-438). Article 9296682 (Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PHM-Jinan48558.2020.00084

Li, Xiaochuan ; Mba, David ; Loukopoulos, Panagiotis. / A Just-In-Time-Learning Based Data-driven Method for Valve Failure Prognostics. Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020. editor / Chuan Li ; Dejan Gjorgjevikj ; Zhe Yang ; Ziqiang Pu. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 434-438 (Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020).

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title = "A Just-In-Time-Learning Based Data-driven Method for Valve Failure Prognostics",

keywords = "gradient boosting decision tree, just-in-time-learning, remaining useful life, valve",

author = "Xiaochuan Li and David Mba and Panagiotis Loukopoulos",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020 ; Conference date: 23-10-2020 Through 25-10-2020",

year = "2020",

month = oct,

doi = "10.1109/PHM-Jinan48558.2020.00084",

language = "English",

series = "Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020",

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

pages = "434--438",

editor = "Chuan Li and Dejan Gjorgjevikj and Zhe Yang and Ziqiang Pu",

booktitle = "Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020",

}

Li, X, Mba, D & Loukopoulos, P 2020, A Just-In-Time-Learning Based Data-driven Method for Valve Failure Prognostics. in C Li, D Gjorgjevikj, Z Yang & Z Pu (eds), Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020., 9296682, Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020, Institute of Electrical and Electronics Engineers Inc., pp. 434-438, 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020, Virtual, Jinan, China, 23/10/20. https://doi.org/10.1109/PHM-Jinan48558.2020.00084

A Just-In-Time-Learning Based Data-driven Method for Valve Failure Prognostics. / Li, Xiaochuan; Mba, David; Loukopoulos, Panagiotis.
Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020. ed. / Chuan Li; Dejan Gjorgjevikj; Zhe Yang; Ziqiang Pu. Institute of Electrical and Electronics Engineers Inc., 2020. p. 434-438 9296682 (Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020).

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

TY - GEN

T1 - A Just-In-Time-Learning Based Data-driven Method for Valve Failure Prognostics

AU - Li, Xiaochuan

AU - Mba, David

AU - Loukopoulos, Panagiotis

PY - 2020/10

Y1 - 2020/10

KW - gradient boosting decision tree

KW - just-in-time-learning

KW - remaining useful life

KW - valve

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DO - 10.1109/PHM-Jinan48558.2020.00084

M3 - Conference contribution

AN - SCOPUS:85099319809

T3 - Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020

SP - 434

EP - 438

BT - Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020

A2 - Li, Chuan

A2 - Gjorgjevikj, Dejan

A2 - Yang, Zhe

A2 - Pu, Ziqiang

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020

Y2 - 23 October 2020 through 25 October 2020

ER -

Li X, Mba D, Loukopoulos P. A Just-In-Time-Learning Based Data-driven Method for Valve Failure Prognostics. In Li C, Gjorgjevikj D, Yang Z, Pu Z, editors, Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 434-438. 9296682. (Proceedings - 11th International Conference on Prognostics and System Health Management, PHM-Jinan 2020). doi: 10.1109/PHM-Jinan48558.2020.00084

A Just-In-Time-Learning Based Data-driven Method for Valve Failure Prognostics

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