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 | 372 | 2019 |
Merging data sources to predict remaining useful life–an automated method to identify prognostic parameters JB Coble | 205 | 2010 |
Identifying optimal prognostic parameters from data: a genetic algorithms approach J Coble, JW Hines Annual conference of the PHM society 1 (1), 2009 | 174 | 2009 |
A review of prognostics and health management applications in nuclear power plants J Coble, P Ramuhalli, LJ Bond, J Hines, B Upadhyaya International Journal of prognostics and health management 6, 016, 2015 | 134 | 2015 |
Comparative evaluation of preprocessing freeware on chromatography/mass spectrometry data for signature discovery JB Coble, CG Fraga Journal of chromatography A 1358, 155-164, 2014 | 111 | 2014 |
Applying the general path model to estimation of remaining useful life J Coble, JW Hines International Journal of Prognostics and Health Management 2, 71, 2011 | 111 | 2011 |
Prognostic algorithm categorization with PHM challenge application JB Coble, JW Hines 2008 International Conference on Prognostics and Health Management, 1-11, 2008 | 108 | 2008 |
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 | 88 | 2012 |
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 | 72 | 2007 |
Diagnostics and prognostics of engineering systems: methods and techniques: methods and techniques S Kadry IGI Global, 2012 | 53 | 2012 |
Technical Review of On-Line Monitoring Techniques for Performance Assessment. Volume 1. State-of-the-Art JW Hines, R Seibert | 52 | 2006 |
A review of sensor calibration monitoring for calibration interval extension in nuclear power plants JB Coble, RM Meyer, P Ramuhalli, LJ Bond, H Hashemian, B Shumaker, ... Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2012 | 48 | 2012 |
Investigating the effect of metal powder recycling in Electron beam Powder Bed Fusion using process log data S Chandrasekar, JB Coble, S Yoder, P Nandwana, RR Dehoff, VC Paquit, ... Additive Manufacturing 32, 100994, 2020 | 44 | 2020 |
Robust localized cyber-attack detection for key equipment in nuclear power plants F Zhang, JB Coble Progress in Nuclear Energy 128, 103446, 2020 | 31 | 2020 |
Towards a theory of autonomous reconstitution of compromised cyber-systems P Ramuhalli, M Halappanavar, J Coble, M Dixit 2013 IEEE International Conference on Technologies for Homeland Security …, 2013 | 31 | 2013 |
Application of artificial intelligence in detection and mitigation of human factor errors in nuclear power plants: a review M Sethu, B Kotla, D Russell, M Madadi, NA Titu, JB Coble, RL Boring, ... Nuclear Technology 209 (3), 276-294, 2023 | 30 | 2023 |
Using artificial intelligence to detect human errors in nuclear power plants: A case in operation and maintenance E Gursel, B Reddy, A Khojandi, M Madadi, JB Coble, V Agarwal, V Yadav, ... Nuclear Engineering and Technology 55 (2), 603-622, 2023 | 29 | 2023 |
Maintenance-based prognostics of nuclear plant equipment for long-term operation Z Welz, J Coble, B Upadhyaya, W Hines Nuclear Engineering and Technology 49 (5), 914-919, 2017 | 27 | 2017 |
A robust cybersecurity solution platform architecture for digital instrumentation and control systems in nuclear power facilities F Zhang, JW Hines, JB Coble Nuclear Technology 206 (7), 939-950, 2020 | 24 | 2020 |
Empirical methods for process and equipment prognostics JW Hines, J Garvey, J Preston, A Usynin Tutorial presented at the IEEE Reliability and Maintainability Symposium (RAMS), 2007 | 22 | 2007 |