Prognostic Health Management techniques for intelligent condition monitoring of offshore renewable generation assets

D. S. Herd; D. Flynn

doi:10.1049/cp.2013.1732

Prognostic Health Management techniques for intelligent condition monitoring of offshore renewable generation assets

D. S. Herd, D. Flynn

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

1 Citation (Scopus)

Abstract

The application of Prognostic Health Management (PHM) methods offer the potential of improved reliability in the maintenance of large, remote and complex assets ensuring they continue to achieve optimal performance throughout their designed lifetime. This paper reviews the current state-of-the-art in condition monitoring for the offshore renewable energy sector to highlight the current capabilities and limitations. Based upon this review and an examination of PHM case studies, the design and function of PHM systems for offshore renewable industry assets will be presented.

Original language	English
Title of host publication	2nd IET Renewable Power Generation Conference
Pages	1-4
Volume	2013
Edition	623 CP
DOIs	https://doi.org/10.1049/cp.2013.1732
Publication status	Published - 2013
Event	2nd IET Renewable Power Generation Conference - Beijing, China Duration: 9 Sep 2013 → 11 Sep 2013

Publication series

Name	IET Conference Publications

Conference

Conference	2nd IET Renewable Power Generation Conference
Abbreviated title	RPG 2013
Country	China
City	Beijing
Period	9/09/13 → 11/09/13

Keywords

Condition monitoring
Health management
Prognostics
Sensors

ASJC Scopus subject areas

Electrical and Electronic Engineering

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

Access to Document

10.1049/cp.2013.1732

Fingerprint Dive into the research topics of 'Prognostic Health Management techniques for intelligent condition monitoring of offshore renewable generation assets'. Together they form a unique fingerprint.

Cite this

@inproceedings{a0a0e3c215a54a92b0615782a7d75144,

title = "Prognostic Health Management techniques for intelligent condition monitoring of offshore renewable generation assets",

abstract = "The application of Prognostic Health Management (PHM) methods offer the potential of improved reliability in the maintenance of large, remote and complex assets ensuring they continue to achieve optimal performance throughout their designed lifetime. This paper reviews the current state-of-the-art in condition monitoring for the offshore renewable energy sector to highlight the current capabilities and limitations. Based upon this review and an examination of PHM case studies, the design and function of PHM systems for offshore renewable industry assets will be presented.",

keywords = "Condition monitoring, Health management, Prognostics, Sensors",

author = "Herd, {D. S.} and D. Flynn",

year = "2013",

doi = "10.1049/cp.2013.1732",

language = "English",

isbn = "978-1-84919-758-8 ",

volume = "2013",

series = "IET Conference Publications ",

pages = "1--4",

booktitle = "2nd IET Renewable Power Generation Conference",

edition = "623 CP",

note = "2nd IET Renewable Power Generation Conference, RPG 2013 ; Conference date: 09-09-2013 Through 11-09-2013",

}

TY - GEN

T1 - Prognostic Health Management techniques for intelligent condition monitoring of offshore renewable generation assets

AU - Herd, D. S.

AU - Flynn, D.

PY - 2013

Y1 - 2013

N2 - The application of Prognostic Health Management (PHM) methods offer the potential of improved reliability in the maintenance of large, remote and complex assets ensuring they continue to achieve optimal performance throughout their designed lifetime. This paper reviews the current state-of-the-art in condition monitoring for the offshore renewable energy sector to highlight the current capabilities and limitations. Based upon this review and an examination of PHM case studies, the design and function of PHM systems for offshore renewable industry assets will be presented.

AB - The application of Prognostic Health Management (PHM) methods offer the potential of improved reliability in the maintenance of large, remote and complex assets ensuring they continue to achieve optimal performance throughout their designed lifetime. This paper reviews the current state-of-the-art in condition monitoring for the offshore renewable energy sector to highlight the current capabilities and limitations. Based upon this review and an examination of PHM case studies, the design and function of PHM systems for offshore renewable industry assets will be presented.

KW - Condition monitoring

KW - Health management

KW - Prognostics

KW - Sensors

UR - http://www.scopus.com/inward/record.url?scp=84892968880&partnerID=8YFLogxK

U2 - 10.1049/cp.2013.1732

DO - 10.1049/cp.2013.1732

M3 - Conference contribution

AN - SCOPUS:84892968880

SN - 978-1-84919-758-8

VL - 2013

T3 - IET Conference Publications

SP - 1

EP - 4

BT - 2nd IET Renewable Power Generation Conference

T2 - 2nd IET Renewable Power Generation Conference

Y2 - 9 September 2013 through 11 September 2013

ER -

Prognostic Health Management techniques for intelligent condition monitoring of offshore renewable generation assets

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Cite this