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- Title
Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses.
- Authors
Leahy, Kevin; Gallagher, Colm; O'Donovan, Peter; O'Sullivan, Dominic T. J.
- Abstract
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.
- Subjects
WIND turbine maintenance &; repair; PERFORMANCE of wind turbines; DATA quality; ELECTRIC power system reliability; SUPERVISORY control &; data acquisition systems; ORIGINAL equipment manufacturers
- Publication
Energies (19961073), 2019, Vol 12, Issue 2, p201
- ISSN
1996-1073
- Publication type
Article
- DOI
10.3390/en12020201