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CITATION.cff
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37 lines (36 loc) · 1.19 KB
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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Specification of 'normal' wind turbine operating behaviour for rapid anomaly
detection: through the use of machine learning algorithms
message: 'If you use this software, please cite it as below.'
type: software
authors:
- family-names: Streethran
given-names: Nithiya
orcid: 'https://orcid.org/0000-0003-0575-5798'
affiliation: Environmental Protection Agency (EPA) Ireland
repository-code: 'https://github.com/nmstreethran/WindTurbineClassification'
url: 'https://nmstreethran.github.io/WindTurbineClassification/'
keywords:
- wind turbine
- condition monitoring
- SCADA
- fault prediction
- classification algorithm
license: MIT
version: 1.2.0
preferred-citation:
type: article
authors:
- family-names: Streethran
given-names: Nithiya
orcid: 'https://orcid.org/0000-0003-0575-5798'
affiliation: Heriot-Watt University
title: >-
Specification of 'normal' wind turbine operating behaviour for rapid
anomaly detection: through the use of machine learning algorithms
doi: 10.5281/zenodo.2875795
year: 2017
month: 8