Jamie Godwin
TitleCited byYear
Predicting performance in an introductory programming course by logging and analyzing student programming behavior
C Watson, FWB Li, JL Godwin
2013 IEEE 13th International Conference on Advanced Learning Technologies …, 2013
No tests required: comparing traditional and dynamic predictors of programming success.
C Watson, FWB Li, JL Godwin
Association for Computing Machinery (ACM), 2014
Bluefix: Using crowd-sourced feedback to support programming students in error diagnosis and repair
C Watson, FWB Li, JL Godwin
International Conference on Web-Based Learning, 228-239, 2012
Classification and detection of wind turbine pitch faults through SCADA data analysis
JL Godwin, P Matthews
IJPHM Special Issue on Wind Turbine PHM, 90, 2013
Classification and detection of electrical control system faults through SCADA data analysis.
JL Godwin, PC Matthews, C Watson
Chemical engineering transactions. 1, 985-990, 2013
Prognosis of wind turbine gearbox failures by utilising robust multivariate statistical techniques
JL Godwin, P Matthews
2013 IEEE Conference on Prognostics and Health Management (PHM), 1-8, 2013
Robust multivariate statistical ensembles for bearing fault detection and identification
JL Godwin, P Matthews, C Watson
2014 International Conference on Prognostics and Health Management, 1-11, 2014
Exploiting Robust Multivariate Statistics and Data Driven Techniques for Prognosis and Health Management
Durham University, 2015
Rapid labelling of SCADA data to extract transparent rules using RIPPER
JL Godwin, P Matthews
2014 Reliability and Maintainability Symposium, 1-7, 2014
Robust Statistical Methods for Rapid Data Labelling
J Godwin, P Matthews
Data Mining and Analysis in the Engineering Field, 107-141, 2014
A low frequency uni-variate model for the effective diagnosis and prognosis of bearing signals based upon high frequency data
JL Godwin, P Matthews
Durham University Durham United Kingdom, 2014
Advanced operation & maintenance
J Godwin
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