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Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses

1
School of Engineering, University College Cork, Cork T12 K8AF, Ireland
2
Science Foundation Ireland (SFI) MaREI Centre, Environmental Research Institute, University College Cork, Cork P43 C573, Ireland
*
Author to whom correspondence should be addressed.
Energies 2019, 12(2), 201; https://doi.org/10.3390/en12020201
Received: 20 November 2018 / Revised: 15 December 2018 / Accepted: 29 December 2018 / Published: 9 January 2019
In order to remain competitive, wind turbines must be reliable machines with efficient and effective maintenance strategies. However, thus far, wind turbine reliability information has been closely guarded by the original equipment manufacturers (OEMs), and turbine reliability studies often rely on data that are not always in a usable or consistent format. In addition, issues with turbine maintenance logs and alarm system data can make it hard to identify historical periods of faulty operation. This means that building new and effective data-driven condition monitoring techniques and methods can be challenging, especially those that rely on supervisory control and data acquisition (SCADA) system data. Such data are rarely standardised, resulting in challenges for researchers in contextualising these data. This work aims to summarise some of the issues seen in previous studies, highlighting the common problems seen by researchers working in the areas of condition monitoring and reliability analysis. Standards and policy initiatives that aim to alleviate some of these problems are given, and a summary of their recommendations is presented. The main finding from this work is that industry would benefit hugely from unified standards for turbine taxonomies, alarm codes, SCADA operational data and maintenance and fault reporting. View Full-Text
Keywords: wind turbines; SCADA data; reliability; condition monitoring; data quality wind turbines; SCADA data; reliability; condition monitoring; data quality
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MDPI and ACS Style

Leahy, K.; Gallagher, C.; O’Donovan, P.; O’Sullivan, D.T.J. Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses. Energies 2019, 12, 201. https://doi.org/10.3390/en12020201

AMA Style

Leahy K, Gallagher C, O’Donovan P, O’Sullivan DTJ. Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses. Energies. 2019; 12(2):201. https://doi.org/10.3390/en12020201

Chicago/Turabian Style

Leahy, Kevin; Gallagher, Colm; O’Donovan, Peter; O’Sullivan, Dominic T.J. 2019. "Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses" Energies 12, no. 2: 201. https://doi.org/10.3390/en12020201

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