An intelligent diagnostic and prognostic framework for large-scale rotating machinery in the presence of scarce failure data

Xiaochuan Li; Xiaoyu Yang; Yingjie Yang; Ian Bennett; David Mba

doi:10.1177/1475921719884019

An intelligent diagnostic and prognostic framework for large-scale rotating machinery in the presence of scarce failure data

Xiaochuan Li^*
, Xiaoyu Yang
, Yingjie Yang
, Ian Bennett
, David Mba

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

9 Citations (SciVal)

Original language	English
Pages (from-to)	1375-1390
Number of pages	16
Journal	Structural Health Monitoring
Volume	19
Issue number	5
DOIs	https://doi.org/10.1177/1475921719884019
Publication status	Published (VoR) - 1 Sept 2020

Keywords

canonical variable analysis
Condition monitoring
fault detection
grey model
prognosis

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10.1177/1475921719884019

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title = "An intelligent diagnostic and prognostic framework for large-scale rotating machinery in the presence of scarce failure data",

keywords = "canonical variable analysis, Condition monitoring, fault detection, grey model, prognosis",

author = "Xiaochuan Li and Xiaoyu Yang and Yingjie Yang and Ian Bennett and David Mba",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2019.",

year = "2020",

month = sep,

day = "1",

doi = "10.1177/1475921719884019",

language = "English",

volume = "19",

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TY - JOUR

T1 - An intelligent diagnostic and prognostic framework for large-scale rotating machinery in the presence of scarce failure data

AU - Li, Xiaochuan

AU - Yang, Xiaoyu

AU - Yang, Yingjie

AU - Bennett, Ian

AU - Mba, David

N1 - Publisher Copyright: © The Author(s) 2019.

PY - 2020/9/1

Y1 - 2020/9/1

KW - canonical variable analysis

KW - Condition monitoring

KW - fault detection

KW - grey model

KW - prognosis

UR - https://www.scopus.com/pages/publications/85074863925

UR - https://www.scopus.com/pages/publications/85074863925#tab=citedBy

U2 - 10.1177/1475921719884019

DO - 10.1177/1475921719884019

M3 - Article

AN - SCOPUS:85074863925

SN - 1475-9217

VL - 19

SP - 1375

EP - 1390

JO - Structural Health Monitoring

JF - Structural Health Monitoring

IS - 5

ER -

An intelligent diagnostic and prognostic framework for large-scale rotating machinery in the presence of scarce failure data

Keywords

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