Sofia Koukoura
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View article: Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring
Lessons from Usable ML Deployments and Application to Wind Turbine Monitoring Open
Through past experiences deploying what we call usable ML (one step beyond explainable ML, including both explanations and other augmenting information) to real-world domains, we have learned three key lessons. First, many organizations ar…
View article: Effect of weather forecast uncertainty on offshore wind farm availability assessment
Effect of weather forecast uncertainty on offshore wind farm availability assessment Open
With the growing demand for offshore wind energy and the continued drive for reduced levelised cost of energy, it is necessary to make operation and maintenance activities more effective and reduce related costs. A key factor in achieving …
View article: Wind turbine drivetrains: state-of-the-art technologies and future development trends
Wind turbine drivetrains: state-of-the-art technologies and future development trends Open
This paper presents the state-of-the-art technologies and development trends of wind turbine drivetrains – the system that converts kinetic energy of the wind to electrical energy – in different stages of their life cycle: design, manufact…
View article: Investigation of Isolation Forest for Wind Turbine Pitch System Condition Monitoring Using SCADA Data
Investigation of Isolation Forest for Wind Turbine Pitch System Condition Monitoring Using SCADA Data Open
Wind turbine pitch system condition monitoring is an active area of research, and this paper investigates the use of the Isolation Forest Machine Learning model and Supervisory Control and Data Acquisition system data for this task. This p…
View article: Wind turbine drivetrains: state-of-the-art technologies and future development trends
Wind turbine drivetrains: state-of-the-art technologies and future development trends Open
This paper presents the state-of-the-art technologies and development trends of wind turbine drivetrains – the energy conversion systems transferring the kinetic energy of the wind to electrical energy – in different stages of their life c…
View article: Spatially Disaggregated Car Ownership Prediction Using Deep Neural Networks
Spatially Disaggregated Car Ownership Prediction Using Deep Neural Networks Open
Predicting car ownership patterns at high spatial resolution is key to understanding pathways for decarbonisation—via electrification and demand reduction—of the private vehicle fleet. As the factors widely understood to influence car owne…
View article: Combination of Thermal Modelling and Machine Learning Approaches for Fault Detection in Wind Turbine Gearboxes
Combination of Thermal Modelling and Machine Learning Approaches for Fault Detection in Wind Turbine Gearboxes Open
This research aims to bring together thermal modelling and machine learning approaches to improve the understanding on the operation and fault detection of a wind turbine gearbox. Recent fault detection research has focused on machine lear…
View article: Comparison of anomaly detection techniques for wind turbine gearbox SCADA data
Comparison of anomaly detection techniques for wind turbine gearbox SCADA data Open
This analysis looks at the use of anomaly detection to assess the condition of wind turbine gearboxes based on data from a number of operational turbines. A comparison is made between various methods of anomaly detection, these being one c…
View article: Influence of extended potential-to-functional failure intervals through condition monitoring systems on offshore wind turbine availability
Influence of extended potential-to-functional failure intervals through condition monitoring systems on offshore wind turbine availability Open
Condition monitoring systems are deployed in various industries for decades contributing to optimizing operational performance and maintenance efforts. Several publications address this potential for application in the offshore wind energy…
View article: Influence of extended potential-to-functional failure intervals through condition monitoring systems on offshore wind turbine availability
Influence of extended potential-to-functional failure intervals through condition monitoring systems on offshore wind turbine availability Open
Condition monitoring systems are deployed in various industries for decades contributing to optimizing operational performance and maintenance efforts. Several publications address this potential for application in the offshore wind energy…
View article: Reliability, availability, maintainability data review for the identification of trends in offshore wind energy applications
Reliability, availability, maintainability data review for the identification of trends in offshore wind energy applications Open
This work presents a comprehensive review and discussion of the identification of critical components of the currently installed and next generation of offshore wind turbines. A systematic review on the reliability, availability, and maint…
View article: Comparison of New Anomaly Detection Technique for Wind Turbine Condition Monitoring Using Gearbox SCADA Data
Comparison of New Anomaly Detection Technique for Wind Turbine Condition Monitoring Using Gearbox SCADA Data Open
Anomaly detection for wind turbine condition monitoring is an active area of research within the wind energy operations and maintenance (O & M) community. In this paper three models were compared for multi-megawatt operational wind turbine…
View article: Effect of Time History on Normal Behaviour Modelling Using SCADA Data to Predict Wind Turbine Failures
Effect of Time History on Normal Behaviour Modelling Using SCADA Data to Predict Wind Turbine Failures Open
Operations and Maintenance (O&M) can make up a significant proportion of lifetime costs associated with any wind farm, with up to 30% reported for some offshore developments. It is increasingly important for wind farm owners and operators …
View article: Investigating parallel multi-step vibration processing pipelines for planetary stage fault detection in wind turbine drivetrains
Investigating parallel multi-step vibration processing pipelines for planetary stage fault detection in wind turbine drivetrains Open
This paper proposes a signal processing approach for wind turbine gearbox vibration signals based on employing multiple analysis pipelines. These so-called pipelines consist of combinations of various advanced signal processing methods tha…
View article: Diagnostic Framework for Wind Turbine Gearboxes Using Machine Learning
Diagnostic Framework for Wind Turbine Gearboxes Using Machine Learning Open
Operation and maintenance costs of wind turbines are highlydriven by gearbox failures, especially offshore were the logisticsof replacements are more demanding. It is therefore verycritical to foresee incipient gearbox faults before they b…
View article: Comparison of wind turbine gearbox vibration analysis algorithms based on feature extraction and classification
Comparison of wind turbine gearbox vibration analysis algorithms based on feature extraction and classification Open
Health state assessment of wind turbine components has become a vital aspect of wind farm operations in order to reduce maintenance costs. The gearbox is one of the most costly components to replace and it is usually monitored through vibr…
View article: Prediction of wind turbine generator bearing failure through analysis of high‐frequency vibration data and the application of support vector machine algorithms
Prediction of wind turbine generator bearing failure through analysis of high‐frequency vibration data and the application of support vector machine algorithms Open
Innovations which help facilitate predictive maintenance strategies have the potential to greatly reduce costs associated with wind turbine O&M by driving efficiency and increasing wind turbine availability. This study uses multiple exampl…
View article: On the use of AI based vibration condition monitoring of wind turbine gearboxes
On the use of AI based vibration condition monitoring of wind turbine gearboxes Open
Condition monitoring (CM) systems are installed in wind turbines (WTs) in order to avoid component downtime and reduce maintenance costs. Vibration monitoring is widely used for the WT gearbox, which is a component with a significant downt…
View article: Wind turbine gearbox planet bearing failure prediction using vibration data
Wind turbine gearbox planet bearing failure prediction using vibration data Open
This paper presents a methodology for predicting planet bearing failures utilising vibration data acquired through accelerometers installed on the gearbox surface. The proposed methodology applies certain signal pre-processing techniques i…
View article: Failure and Remaining Useful Life Prediction of Wind Turbine Gearboxes
Failure and Remaining Useful Life Prediction of Wind Turbine Gearboxes Open
The purpose of this project is to predict wind turbine gearbox incipient faults using a combination of condition monitoring data. It is expected to contribute in developing a robust frame-work for wind turbine gearbox component incipient f…
View article: Insight into Wind Turbine Planet Bearing Fault Prediction Using SCADA Data
Insight into Wind Turbine Planet Bearing Fault Prediction Using SCADA Data Open
Condition based maintenance is being adopted into the decision making process of wind farms, in order to reduce operation costs. SCADA systems are integrated in wind turbines, providing low frequency operational data and are increasingly b…
View article: Current Signature and Vibration Analyses to Diagnose an In-Service Wind Turbine Drive Train
Current Signature and Vibration Analyses to Diagnose an In-Service Wind Turbine Drive Train Open
The goal of the present paper is to achieve the diagnosis of an in-service 1.5 MW wind turbine equipped with a doubly-fed induction generator through current signature and vibration analyses. Real data from operating machines have rarely b…
View article: Wind Turbine Gearbox Vibration Signal Signature And Fault Development Through Time
Wind Turbine Gearbox Vibration Signal Signature And Fault Development Through Time Open
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017
View article: Wind Turbine Intelligent Gear Fault Identification
Wind Turbine Intelligent Gear Fault Identification Open
This paper aims to present the development of a framework for monitoring of wind turbine gearboxes and prognosis of gear fracture faults, using vibration data and machine learning techniques. The proposed methodology analyses gear vibratio…