Jump to Content: Welcome to the virtual world of Georgia Tech

Jump to Footer Navigation: Accessibility | Contact Us | Legal & Privacy Information | Technology

School of Industrial and Systems Engineering at Georgia Tech

Assistance Navigation:

Campus Map Directories Site Map Site Help Site Search
 
Faculty Webpage

Nagi Gebraeel Website

crumb trail: GT >> College of Engineering >> School of Industrial and Systems Engineering >> ISyE Personal Web Site

Selected Publications (underlined co-authors are Professor Gebraeel's students)

Journal Publications

  1. Gebraeel N. and Lawley M. "Deadlock Detection, Prevention, and Avoidance for Automated Tool Sharing Systems in Flexible Manufacturing", IEEE Transactions on Robotics and Automation, vol. 17, no. 3, pp 342-356, 2001.

  2. Gebraeel, N., M. Lawley, and R. Liu."Vibration-based condition monitoring of thrust bearings for maintenance management", Intelligent Engineering System Through Artificial Neural Network, vol. 12, pp 543-551, 2002.

  3. Gebraeel N., Lawley M., Liu R., and Parmeshwaran V., "Life Distributions from Component Degradation Signals: A Neural Net Approach", IEEE Transactions on Industrial Electronics, vol. 51, no. 3, pp. 694-700, June 2004.

  4. Gebraeel N., Lawley M., Li R., and Ryan J. K., "Life Distributions from Component Degradation Signals: A Bayesian Approach", IIE Transactions on Quality and Reliability , vol.37, no. 6, p 543-557, June 2005.

  5. Gebraeel N., "Sensory-based degradation models for components with exponential degradation patterns", IEEE Transactions on Automation Science and Engineering, vol. 3, no. 4, pp. 382 393, October 2006.

  6. Wu S., Gebraeel N., Lawley M., and Yih Y., "A Neural Network Integrated Decision Support System for Condition-Based Optimal Predictive Maintenance Policy", IEEE Transactions on Systems, Man and Cybernetics Part A-Systems and Humans, vol. 37, no. 2, pp 226-236, March 2007.

  7. Gebraeel N. and Lawley M., "An Adaptive Degradation Model for Computing and Updating Residual Life Distributions for Maintenance Management", IEEE Transactions on Automation Science and Engineering, vol.5, no.1, pp. 154-163, January 2008.

  8. Elwany A. H. and Gebraeel N., "Sensory-Driven Prognostic Models for Spare Parts Logistics", IIE Transactions Quality and Reliability Engineering,vol. 40, no. 7, pp. 629-639, July 2008. *(This paper was featured in the July 2008 issue of IE Magazine, and was a finalist in the Best QSR Student Paper Competition at INFORMS 2007--Quality, Statistics and Reliability Cluster)*

  9. Gebraeel N. and Pan J., "Prognostic Degradation Models for Computing and Updating Residual Life Distributions in a Time-Varying Environment", IEEE Transactions on Reliability, vol. 57, no. 4, pp. 539-550, December 2008.

  10. Chakraborty S., Gebraeel N., Lawley M., and Wan H., "Residual Life Estimation for Components with Non-symmetric Priors", IIE Transactions, vol. 41, no. 4, pp. 372-387, 2009.

  11. Gebraeel N. and Hernandez, L., "Advanced prognostics for aircraft electrical power systems", SAE International Journal of Aerospace, vol. 1, no. 1, pp. 1059-1063, 2009.

  12. Gebraeel N., Elwany A. H., and Pan J., "Residual Life Predictions in the Absence of Prior Degradation Knowledge: Prognostic Models with Fixed Intercepts", IEEE Transactions on Reliability, vol. 8, no. 1, pp. 106-117, March 2009.

  13. Kaiser K. and Gebraeel N., "Predictive Maintenance Management Using Sensor-Based Degradation Models", IEEE Transactions on Systems, Man, and Cybernetics, Part A, vol. 8, no. 1, pp. 106-117, March 2009.

  14. Elwany A. and Gebraeel N., "Sensor-Based Degradation Models for Computing Residual Life Distributions: A First Passage Time Approximation", ASME Transactions on Manufacturing Science and Engineering, vol. 131, no. 5, Oct. 2009.

  15. Gebraeel N.,"Prognostics-Based Identification of Top-k Units in a Fleet", IEEE Transactions on Automation Science and Engineering, vol. 7, no. 1, pp. 37-48, Jan. 2010.

  16. Zhou R., Serban N., and Gebraeel N., "Degradation Modeling Applied to Residual Lifetime Prediction Using Functional Data Analysis", Annals of Applied Statistics, vol. 5, no. 2B, pp. 1586-1610, 2011.

  17. Elwany A., Gebraeel N., and Maillart L., "Structured Replacement Policies for Systems with Complex Degradation Processes and Dedicated Sensors", Operations Research, vol. 59, no. 3, pp. 684-695, 2011.

  18. Zhou R., Gebraeel N., and Serban N., "Modeling of Thresholded Degradation Signals using Functional Principle Component Analysis", IIE Transactions, vol. 44, no. 9, pp. 793-803, 2012. *(This paper was featured in the August 2012 issue of IE Magazine, and was a finalist in the Best QSR Student Paper Competition at INFORMS 2010--Quality, Statistics and Reliability Cluster)*

  19. Bian L. and Gebraeel N., "Computing and Updating First-Passage Time Distributions for Randomly Evolving Degradation Signals", IIE Transactions, vol. 44, no. 11, pp. 974-987, 2012.

  20. Bian L. and Gebraeel N., "Stochastic Methodology for Prognostics Under Continuously Varying Environmental Profiles", Statistical Analysis and Data Mining, vol. 6, no. 3, pp. 260-270, 2013.

  21. Liu K., Gebraeel N., and Shi J., "Health Index Development Based on Sensory Data Fusion for Degradation Modeling and Prognostic Analysis", IEEE Transactions on Automation Science and Engineering, vol. 10, no. 3, pp. 652-664, July 2013.

  22. Bian L., and Gebraeel N., "Stochastic Modeling and Real-Time Prognostics for Multi-Component Systems with Degradation-Rate-Interactions", IIE Transactions, vol. 46, no. 5, pp. 470-482, 2014.

  23. Zhou R., Serban N., Gebraeel N. and Muller H., "A Functional Time Warping Approach to Modeling and Monitoring Truncated Degradation Signals", Technometrics, vol. 56, no. 1, pp. 67-77, 2014.

  24. Bian L., and Gebraeel N., "Stochastic Framework for Partially Degradation Systems with Continuous Component Degradation-Rate-Interactions" Naval Research Logistics, vol. 61, no. 4, pp. 286-303, 2014.

  25. Flory, J.A., Kharoufeh, J.P. and Gebraeel N., "A switching diffusion model for lifetime estimation in randomly-varying environments", IIE Transactions, vol. 46, no. 11, pp. 1227-1241, 2014.

  26. Zhou R., Serban N., and Gebraeel N., "Degradation-based Residual Life Prediction Under Different Environments", Annals of Applied Statistics , vol. 8, no.3, pp. 1671-1689, 2014.

  27. Fang X., Zhou R., and Gebraeel N., "An Adapative Functional Regression-based Prognostic Model for Applications with Missing Data", Reliability Engineering and Systems Safety, vol. 133, pp. 266-274, 2015.

  28. Hao L., Gebraeel N., and Shi J.,"Simultaneous Signal Separation and Prognostics of Multi-Component Systems: The case of Identical Components", IIE Transactions, vol. 47, no. 5, pp. 487-504, 2015.

  29. Bian L., Gebraeel N., and Kharoufeh J., "Degradation Modeling for Real-Time Estimation of Residual Lifetimes in Dynamic Environments", IIE Transactions, vol. 47, no. 5, 2015.

  30. Yildirim M., Xu A.,and Gebraeel N., "Sensor Driven Condition-Based Generator Maintenance Scheduleing Part 1: Maintenance Framework and Formulation", IEEE Transactions on Power Systems, vol. 31, no. 6, pp. 4253-4262, 2016.

  31. Yildirim M., Xu A.,and Gebraeel N., "Sensor Driven Condition-Based Generator Maintenance Scheduleing Part 2: Algorithms and Validation ", IEEE Transactions on Power Systems, vol. 31, no. 6, pp. 4263-4271, 2016.

  32. Yang C., Xie Y., and Gebraeel N., "Multi-Sensor Slope Change Detection", Annals of Operations Research, pp. 1-27, 2016.

  33. Yildirim M., Gebraeel N., and Xu A., "Integrated Predictive Analytics and Optimization for Opportunistic Maintenance and Operations in Wind Farms",  IEEE Transactions on Power Systems, vol. 32, no. 6, pp. 4319-4328, 2017.

  34. Hao L., Liu K., Gebraeel N., and Shi J., "Controlling the Residual Life Distribution of Parallel Multi-Component Systems through Workload Adjustment", IEEE Transactions on Automation Science and Engineering, vol. 14, no. 2, pp. 1042-1052, 2017.

  35. Hao L., Bian L., Gebraeel N., and Shi J., "Residual Life Prediction of Multistage Processes with Interaction between Tool Wear and Product Quality Degradation", IEEE Transactions on Automation Science and Engineering, vol. 14, no. 2, pp. 1211-1224, 2017.

  36. Fang X., Paynabar K., and Gebraeel N., "Multisensor Fusion Based Prognostics Model for Systems with Single Failure Modes", Reliaiblity Engineering and Systems Safety, vol. 159, pp. 322-331, 2017.

  37. Fang X., Gebraeel N., and Paynabar K., "Scalable Prognostic Models for Large Scale Condition Monitoring Applications", IISE Transactions, vol. 49, no.7, pp. 698-710, 2017. *(This paper was featured in the June 2017 issue of ISE Magazine)*

  38. Xia T., Xi L., Pan, E, Fang X., and Gebraeel N., "Lease-oriented Opportunistic Maintenance for Multi-Unit Leased Systems Under Product-Service Paradigm", ASME Transactions, Journal of Manufacturing Science and Engineering, vol. 139, no. 7, pp. 071005, 2017.

  39. Fang X., Paynabar K., and Gebraeel N., "Image-Based Prognostics Using Penalized Tensor Regression", Accepted, Technometrics, 2018. *(This paper was received the SAS Data Mining Best Paper Award, Data Mining Section of INFORMS, 2016 and the QSR Best Refereed Paper Finalist Award, Quality, Statistics, and Reliability Section of INFORMS, 2016)

  40. Basciftci B., Ahmed S., Gebraeel N., Yildirim M., "Stochastic Optimization of Generator Maintenance and Operations Schedules under Uncertain Failures", IEEE Transactions on Power Systems, in press, 2018. *(This paper received the INFORMS ENRE Best Student Paper Award, 2018).

  41. Xia T., Fang X., Gebraeel N., Xi L., and Pan E., "An Online System Health Management Framework for Manufacturing Lines in Mass Customization", Under Review, 2018.

  42. Basciftci B., Ahmed S., and Gebraeel N.. "Data-Driven Maintenance and Operations Scheduling under Decision-Dependent Uncertainty", Under Review, 2018.

  43. Ramanan P., Yildirim M., Chow E., and Gebraeel N., "An Asynchronous, Decentralized Solution Framework for the Large Scale Unit Commitment Problem", Under Review, 2018.

  44. Yildirim M., Gebraeel N., and Xu A., "Leveraging Predictive Analytics to Control and Coordinate Operations, Asset Loading and Maintenance", Under Review, 2018.

  45.  Li N., Gebraeel N., Lei Y., and Bian L., "Remaining Useful Life Prediction of Machinery Under Time-Varying Operating Conditions Based on a Two-Factor State-Space Model", Under Review, 2018.

  46.  Peters B., Yildirim M., Gebraeel N. and Paynabar K., "Severity-based Diagnostics for Vehicular Electric Systems with Multiple Interacting Fault Modes", Under Review, 2018.

Conference Publications

  1. Gebraeel N. and Hernandez L., "Advanced Prognostics for Aircraft Electrical Power Systems," Proceedings of the SAE 2008 World Congress & Exhibition.

  2. Gebraeel N., "Degradation Models for Computing and Updating Residual Life Distributions in a Time-Varying Environment", Proceedings of the 2008 Industrial Engineering Research Conference, (IERC), Vancouver, CA, May 2008.

  3. Elwany A., Kaiser K., and Gebraeel N., "Sensor-Based Models for Maintenance Management Decisions", INFORMS Annual Meeting (2007). *(Nominated for Best Paper in the Quality Statistics and Reliability Cluster)*

  4. Elwany A. and Gebraeel N., "Sensor-Driven Decision Models for Equipment Replacement and Spare Parts Logistics", Proceedings of the 2007 Industrial Engineering Research Conference (IERC), Nashville, TN, May 2007

  5. Hernandez L. and Gebraeel N., "Electronics Prognostics--Driving Just-In-Time Maintenance", Proceedings of the IEEE-AUTOTESTCON 2006, Anaheim California, USA, 92006. *(Awarded certificate for "Substantial Contribution to the Technical Program")*

  6. Gebraeel N., "Multi-Component Sensory Based Prognostic Models for Computing Remaining Life Distributions", Proceedings of the SAE 2006 World Congress & Exhibition, Detroit, MI, USA, 52006. *(Awarded certificate for "Substantial Contribution to the Technical Program")*

  7. Gebraeel N., Lawley M., and, Liu R., "Vibration-based condition monitoring of thrust bearings for maintenance management", Intelligent Engineering Systems through Artificial Neural Networks, vol. 12, p 543-551, 2002. *(Nominated for "Best Paper Award")*

  8. Gebraeel N. and Lawley M. "Deadlock Characterization for Automated Tool Sharing Systems" Proceedings of 2000 Japan-USA Symposium on Flexible Automation, Ann Arbor, MI.

This site is available to any internet device, but really looks best in a modern graphical browser that supports web standards.

GT website ISyE website GT CoE website