Colm Gallagher
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View article: Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses
Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses Open
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 manufac…
View article: Industrial Big Data Pipeline for Wind Turbine PHM in a Large Manufacturing Facility
Industrial Big Data Pipeline for Wind Turbine PHM in a Large Manufacturing Facility Open
Wind turbines generate a wealth of data which can be effectively used to improve maintenance strategies and drive down operations and maintenance ( O & M ) costs, which account for 20-25 % of the cost of generation of wind energy. Data-dri…
View article: A Robust Prescriptive Framework and Performance Metric for Diagnosing and Predicting Wind Turbine Faults Based on SCADA and Alarms Data with Case Study
A Robust Prescriptive Framework and Performance Metric for Diagnosing and Predicting Wind Turbine Faults Based on SCADA and Alarms Data with Case Study Open
Using 10-minute wind turbine supervisory control and data acquisition (SCADA) system data to predict faults can be an attractive way of working toward a predictive maintenance strategy without needing to invest in extra hardware. Classific…
View article: Cluster analysis of wind turbine alarms for characterising and classifying stoppages
Cluster analysis of wind turbine alarms for characterising and classifying stoppages Open
Turbine alarm systems can give useful information to remote technicians on the cause of a fault or stoppage. However, alarms are generally generated at much too high a rate to gain meaningful insight from on their own, so generally require…
View article: Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0
Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0 Open
The foundations of all methodologies for the measurement and verification (M&V) of energy savings are based on the same five key principles: accuracy, completeness, conservatism, consistency and transparency. The most widely accepted metho…
View article: Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0
Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0 Open
The foundations of all methodologies for the measurement and verification (M&V) of energy savings are based on the same five key principles: accuracy, completeness, conservatism, consistency and transparency. The most widely accepted metho…
View article: Automatically Identifying and Predicting Unplanned Wind Turbine Stoppages Using SCADA and Alarms System Data: Case Study and Results
Automatically Identifying and Predicting Unplanned Wind Turbine Stoppages Using SCADA and Alarms System Data: Case Study and Results Open
Using 10-minute wind turbine SCADA data for fault prediction offers an attractive way of gaining additional prognostic capabilities without needing to invest in extra hardware. To use these data-driven methods effectively, the historical S…