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Kevin Leahy
Kevin Leahy
PhD Researcher, IERG, UCC
Verified email at umail.ucc.ie - Homepage
Title
Cited by
Cited by
Year
An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities
P O’Donovan, K Leahy, K Bruton, DTJ O’Sullivan
Journal of big data 2, 1-26, 2015
3562015
Big data in manufacturing: a systematic mapping study
P O’donovan, K Leahy, K Bruton, DTJ O’Sullivan
Journal of Big Data 2, 1-22, 2015
2602015
Diagnosing wind turbine faults using machine learning techniques applied to operational data
K Leahy, RL Hu, IC Konstantakopoulos, CJ Spanos, AM Agogino
2016 ieee international conference on prognostics and health management …, 2016
1362016
A comparison of fog and cloud computing cyber-physical interfaces for Industry 4.0 real-time embedded machine learning engineering applications
P O’Donovan, C Gallagher, K Leahy, DTJ O’Sullivan
Computers in industry 110, 12-35, 2019
1212019
Diagnosing and predictingwind turbine faults from scada data using support vector machines
K Leahy, RL Hu, IC Konstantakopoulos, CJ Spanos, AM Agogino, ...
International Journal of Prognostics and Health Management 9 (1), 2018
832018
The suitability of machine learning to minimise uncertainty in the measurement and verification of energy savings
CV Gallagher, K Bruton, K Leahy, DTJ O’Sullivan
Energy and Buildings 158, 647-655, 2018
612018
A robust prescriptive framework and performance metric for diagnosing and predicting wind turbine faults based on SCADA and alarms data with case study
K Leahy, C Gallagher, P O’Donovan, K Bruton, DTJ O’Sullivan
Energies 11 (7), 1738, 2018
592018
Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0
CV Gallagher, K Leahy, P O’Donovan, K Bruton, DTJ O’Sullivan
Energy and Buildings 167, 8-22, 2018
562018
Issues with data quality for wind turbine condition monitoring and reliability analyses
K Leahy, C Gallagher, P O’Donovan, DTJ O’Sullivan
Energies 12 (2), 201, 2019
482019
Using domain knowledge features for wind turbine diagnostics
RL Hu, K Leahy, IC Konstantakopoulos, DM Auslander, CJ Spanos, ...
2016 15th IEEE International Conference on Machine Learning and Applications …, 2016
392016
Automatically identifying and predicting unplanned wind turbine stoppages using scada and alarms system data: Case study and results
K Leahy, C Gallagher, K Bruton, P O’Donovan, DTJ O’Sullivan
Journal of Physics: Conference Series 926 (1), 012011, 2017
372017
Cluster analysis of wind turbine alarms for characterising and classifying stoppages
K Leahy, C Gallagher, P O'Donovan, DTJ O'Sullivan
IET Renewable Power Generation 12 (10), 1146-1154, 2018
182018
IntelliMaV: A cloud computing measurement and verification 2.0 application for automated, near real-time energy savings quantification and performance deviation detection
CV Gallagher, K Leahy, P O’Donovan, K Bruton, DTJ O’Sullivan
Energy and buildings 185, 26-38, 2019
172019
A data pipeline for PHM data-driven analytics in large-scale smart manufacturing facilities
PO Donovan, K Leahy, DO Cusack, K Bruton, DTJ O’Sullivan
Annual conference of the prognostics and health management society 6, 1-10, 2015
42015
From M&V to M&T: An artificial intelligence-based framework for real-time performance verification of demand-side energy savings
CV Gallagher, P O’Donovan, K Leahy, K Bruton, DTJ O’Sullivan
2018 International Conference on Smart Energy Systems and Technologies (SEST …, 2018
32018
Manipulation of fermentation dynamics and its effect on silage production, rumen fermentation and animal performance
KT Leahy
21988
Industrial Big Data Pipeline for Wind Turbine PHM in a Large Manufacturing Facility
K Leahy, C Gallagher, P O’Donovan, DTJ O’Sullivan
International Journal of Prognostics and Health Management 10 (1), 1-4, 2019
12019
Data analytics for fault prediction and diagnosis in wind turbines
K Leahy
University College Cork, 2018
12018
Implementing the Green Batch: A case study: Continuous statistical evaluation to achieve the most energy efficient and reliable process
K Leahy, K Bruton, D O'Sullivan
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation …, 2014
12014
Cluster analysis of wind turbine alarms for characterising and classifying
K Leahy, C Gallagher, P O'Donovan, D O'Sullivan
2018
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