A reliability-and-cost-based fuzzy approach to optimize preventive maintenance scheduling for offshore wind farms
- Submitting institution
-
University of Exeter
- Unit of assessment
- 12 - Engineering
- Output identifier
- 5169
- Type
- D - Journal article
- DOI
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10.1016/j.ymssp.2019.02.012
- Title of journal
- Mechanical Systems and Signal Processing
- Article number
- -
- First page
- 643
- Volume
- 124
- Issue
- -
- ISSN
- 0888-3270
- Open access status
- Deposit exception
- Month of publication
- June
- Year of publication
- 2019
- URL
-
-
- Supplementary information
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https://ars.els-cdn.com/content/image/1-s2.0-S0888327019300950-mmc1.zip
- 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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F - Engineering Management
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a method to schedule preventive maintenance of offshore wind turbines in an uncertain environment. For the first time, fuzzy multi-objective non-linear chance-constrained programming was developed to optimise reliability and cost objectives simultaneously and trade-off between them. The core idea has been cited in other studies on maintenance or scheduling decisions. The work was done in collaboration with Prof. Athanasios Pantelous (Athanasios.Pantelous@monash.edu) at Monash University as part of a Recruitment Program of High-end Foreign Experts (GDW20163100009, £13K), and presented by invitation of Nanjing University (Young Scholars Forum, Business School) and University of Cambridge (Lucy Cavendish Research Day).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -