A data analytic approach to automatic fault diagnosis and prognosis for distribution automation
- Submitting institution
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University of Strathclyde
- Unit of assessment
- 12 - Engineering
- Output identifier
- 111821206
- Type
- D - Journal article
- DOI
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10.1109/TSG.2017.2707107
- Title of journal
- IEEE Transactions on Smart Grid
- Article number
- -
- First page
- 6265
- Volume
- 9
- Issue
- 6
- ISSN
- 1949-3053
- Open access status
- Compliant
- Month of publication
- May
- 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
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4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research informed the business case for SP Energy Networks to undertake a major telecommunications and technical architecture project to increase remote data-flows from devices in the field in 2020 (contact: Brian Thomas).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -