Next Article in Journal
Partial Shading Detection and Global Maximum Power Point Tracking Algorithm for Photovoltaic with the Variation of Irradiation and Temperature
Previous Article in Journal
Speed Control for Turbine-Generator of ORC Power Generation System and Experimental Implementation
Article Menu
Issue 2 (January-2) cover image

Export Article

Open AccessReview
Energies 2019, 12(2), 201;

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

School of Engineering, University College Cork, Cork T12 K8AF, Ireland
Science Foundation Ireland (SFI) MaREI Centre, Environmental Research Institute, University College Cork, Cork P43 C573, Ireland
Author to whom correspondence should be addressed.
Received: 20 November 2018 / Revised: 15 December 2018 / Accepted: 29 December 2018 / Published: 9 January 2019
Full-Text   |   PDF [855 KB, uploaded 10 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

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top