Evolving ANN-based sensors for a context-aware cyber physical system of an offshore gas turbine.
- Submitting institution
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Robert Gordon University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- Petrovski_1
- Type
- D - Journal article
- DOI
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10.1007/s12530-017-9206-8
- Title of journal
- Evolving Systems
- Article number
- -
- First page
- 119
- Volume
- 9
- Issue
- 2
- ISSN
- 1868-6486
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2017
- 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
-
-
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The novel evolving inferential sensor to identify the most significant data readings for condition monitoring has led to a collaboration with Flicq Ltd. who have successfully obtained innovation funding from the Scottish Funding Council to take this work forward. For details on Flicq you can contact karthik.rau@flicq.com.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -