Automatic alarm setup using extreme value theory
- Submitting institution
-
University of Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 224544152
- Type
- D - Journal article
- DOI
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10.1016/j.ymssp.2019.106417
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- 106417
- First page
- -
- Volume
- 139
- Issue
- -
- ISSN
- 0888-3270
- Open access status
- Not compliant
- Month of publication
- November
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
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B - Dynamics and Control
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Using data from EDF Energy, this paper establishes for the first time the principle that operating load is the key parameter in identifying the onset of structural failure in nuclear power plants. The work has now been adopted by industrial partners: EDF Energy and Beran Instruments [Contacts: lee.stevens@edf-energy.com, Technical Plant Lead, EDF Energy. peter.morrish@beran.co.uk, Technical Director, Beran Instruments]. The work has led to Prof Lieven being invited to be the Keynote Speaker for Beran’s international Structural Health Monitoring Conference in June 2020 and is the subject of 2020 InnovateUK grant for deployment across EDF's nulclear fleet (InnovateUK ref: 54130).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -