Wes Hines
Wes Hines
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MATLAB supplement to fuzzy and neural approaches in engineering
JW Hines, LH Tsoukalas, RE Uhrig
John Wiley & Sons, Inc., 1997
Multilayer data-driven cyber-attack detection system for industrial control systems based on network, system, and process data
F Zhang, HADE Kodituwakku, JW Hines, J Coble
IEEE Transactions on Industrial Informatics 15 (7), 4362-4369, 2019
Anomaly-based intrusion detection for SCADA systems
D Yang, A Usynin, JW Hines
5th intl. topical meeting on nuclear plant instrumentation, control and …, 2006
Identifying optimal prognostic parameters from data: a genetic algorithms approach
J Coble, JW Hines
Annual Conference of the PHM Society 1 (1), 2009
Use of autoassociative neural networks for signal validation
JW Hines, RE Uhrig, DJ Wrest
Journal of Intelligent and Robotic Systems 21, 143-154, 1998
Technical review of on-line monitoring techniques for performance assessment
JW Hines, R Seibert, SA Arndt
Volume 1, 20555-0001, 2006
A review of prognostics and health management applications in nuclear power plants
J Coble, P Ramuhalli, L Bond, J Hines, B Ipadhyaya
A hybrid fault diagnosis methodology with support vector machine and improved particle swarm optimization for nuclear power plants
H Wang, M Peng, JW Hines, G Zheng, Y Liu, BR Upadhyaya
ISA transactions 95, 358-371, 2019
Prognostic algorithm categorization with PHM challenge application
JB Coble, JW Hines
2008 International Conference on Prognostics and Health Management, 1-11, 2008
Optimization of fuzzy evapotranspiration model through neural training with input–output examples
LO Odhiambo, RE Yoder, DC Yoder, JW Hines
Transactions of the ASAE 44 (6), 1625, 2001
Applying the general path model to estimation of remaining useful life
J Coble, JW Hines
International Journal of Prognostics and Health Management Volume 2 (color), 71, 2011
Prognostics and health management in nuclear power plants: a review of technologies and applications
JB Coble, P Ramuhalli, LJ Bond, W Hines, B Upadhyaya
Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2012
Development and application of fault detectability performance metrics for instrument calibration verification and anomaly detection
JW Hines, DR Garvey
Journal of Pattern Recognition Research 1 (1), 2-15, 2006
Robust distance measures for on-line monitoring
JW Hines
US Patent 8,311,774, 2012
Signal validation using an adaptive neural fuzzy inference system
JW Hines, DJ Wrest, RE Uhrig
Nuclear technology 119 (2), 181-193, 1997
Current computational trends in equipment prognostics
J Wesley Hines, A Usynin
International Journal of Computational Intelligence Systems 1 (1), 94-102, 2008
Validation of on-line monitoring techniques to nuclear plant data
J Garvey, D Garvey, R Seibert, JW Hines
Nuclear Engineering and Technology 39 (2), 133, 2007
Lessons learned from the US nuclear power plant on-line monitoring programs
JW Hines, E Davis
Progress in Nuclear Energy 46 (3-4), 176-189, 2005
A model for predicting lung cancer response to therapy
RM Seibert, CR Ramsey, JW Hines, PA Kupelian, KM Langen, SL Meeks, ...
International Journal of Radiation Oncology* Biology* Physics 67 (2), 601-609, 2007
Method and system for automatically transitioning files among computer systems
R Bowler, J Hines, K Mackin
US Patent App. 09/793,334, 2002
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