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A survey of health monitoring systems for wind turbines

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TLDR
A number of commercial and research health monitoring systems have been implemented for wind turbines as discussed by the authors, providing an analysis of the current state of turbine health monitoring and the challenges associated with monitoring each of the major turbine components.
Abstract
Wind energy has played an increasingly vital role in renewable power generation, driving the need for more cost-effective wind energy solutions. Health monitoring of turbines could provide a variety of economic and other benefits to aid in wind growth. A number of commercial and research health monitoring systems have been implemented for wind turbines. This paper surveys these systems, providing an analysis of the current state of turbine health monitoring and the challenges associated with monitoring each of the major turbine components. This paper also contextualizes the survey with the various potential benefits of health monitoring for turbines.

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Citations
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Machine learning methods for wind turbine condition monitoring: A review

TL;DR: This paper reviews the recent literature on machine learning models that have been used for condition monitoring in wind turbines and shows that most models use SCADA or simulated data, with almost two-thirds of methods using classification and the rest relying on regression.
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Lifetime extension of onshore wind turbines: A review covering Germany, Spain, Denmark, and the UK

TL;DR: In this article, the authors present the current state-of-the-art for lifetime extension of onshore wind turbines in Germany, Spain, Denmark, and the UK through a literature review and 24 guideline-based interviews with key market players.
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Wind turbine reliability: A comprehensive review towards effective condition monitoring development

TL;DR: The current work presents a review of wind turbine reliability studies, and endeavoured to develop a wind turbine taxonomy that is common across the different studies, formed by thirteen assemblies, and the failure rates and downtimes from each study have been normalised.
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Wind Turbine Surface Damage Detection by Deep Learning Aided Drone Inspection Analysis

TL;DR: A deep learning-based automated damage suggestion system for subsequent analysis of drone inspection images and it is demonstrated that for relatively small training sets, advanced data augmentation during deep learning training can better generalize the trained model, providing a significant gain in precision.
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Fiber Optic Shape Sensors: A comprehensive review

TL;DR: An ambitious review of the current state of the art of Fiber Optic Shape Sensors (FOSS) based on Optical Multicore Fibers or multiple optical single-core fibers with embedded strain sensors and provides a comprehensive analysis of a wide range of aspects.
References
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Journal ArticleDOI

A review on machinery diagnostics and prognostics implementing condition-based maintenance

TL;DR: This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing CBM with emphasis on models, algorithms and technologies for data processing and maintenance decision-making.
Journal ArticleDOI

Underwater acoustic sensor networks: research challenges

TL;DR: In this paper, several fundamental key aspects of underwater acoustic communications are investigated and a cross-layer approach to the integration of all communication functionalities is suggested.
Journal ArticleDOI

An introduction to structural health monitoring

TL;DR: Technical challenges that must be addressed if SHM is to gain wider application are discussed in a general manner and the historical overview and summarizing the SPR paradigm are provided.
Journal ArticleDOI

Vibration Based Condition Monitoring: A Review:

TL;DR: In this article, the state of the art in vibration-based condition monitoring with particular emphasis on structural engineering applications is reviewed, focusing on the use of in situ non-destructive sensing and analysis of system characteristics for detecting changes, which may indicate damage or degradation.
Journal ArticleDOI

Condition monitoring and fault detection of wind turbines and related algorithms: A review

TL;DR: In this article, the authors reviewed different techniques, methodologies and algorithms developed to monitor the performance of wind turbine as well as for an early fault detection to keep away the wind turbines from catastrophic conditions due to sudden breakdowns.
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