Nagi Gebraeel
Orcid: 0000-0001-7337-2401Affiliations:
- Georgia Institute of Technology, School of Industrial and Systems Engineering, Atlanta, GA, USA
- Purdue University, West Lafayette, IN, USA (PhD 2003)
According to our database1,
Nagi Gebraeel
authored at least 45 papers
between 2001 and 2024.
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Bibliography
2024
A Collaborative Scheduling Algorithm for Real-Time Production and Opportunistic Maintenance Under Cloud Manufacturing Paradigm.
IEEE Trans. Reliab., March, 2024
2023
Differentially Private Decentralized Generator Maintenance and Operations for Power Networks.
IEEE Trans. Control. Netw. Syst., June, 2023
Collaborative contracting for Manufacturing-as-a-Service (MaaS) by information content measurement and decision tree learning.
Adv. Eng. Informatics, April, 2023
2022
Blockchain-Based Decentralized Replay Attack Detection for Large-Scale Power Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022
A reliability-and-cost-based framework to optimize maintenance planning and diverse-skilled technician routing for geographically distributed systems.
Reliab. Eng. Syst. Saf., 2022
2021
Online Detection of Inter-Turn Winding Faults in Single-Phase Distribution Transformers Using Smart Meter Data.
IEEE Trans. Smart Grid, 2021
Multi-Sensor Data-Driven Remaining Useful Life Prediction of Semi-Observable Systems.
IEEE Trans. Ind. Electron., 2021
Detection and Differentiation of Replay Attack and Equipment Faults in SCADA Systems.
IEEE Trans Autom. Sci. Eng., 2021
Reliab. Eng. Syst. Saf., 2021
A degradation-based detection framework against covert cyberattacks on SCADA systems.
IISE Trans., 2021
IISE Trans., 2021
CoRR, 2021
2020
Severity-based diagnosis for vehicular electric systems with multiple, interacting fault modes.
Reliab. Eng. Syst. Saf., 2020
Towards augmenting cyber-physical-human collaborative cognition for human-automation interaction in complex manufacturing and operational environments.
Int. J. Prod. Res., 2020
Data-driven maintenance and operations scheduling in power systems under decision-dependent uncertainty.
IISE Trans., 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
2019
IEEE Trans Autom. Sci. Eng., 2019
Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model.
Reliab. Eng. Syst. Saf., 2019
An Asynchronous, Decentralized Solution Framework for the Large Scale Unit Commitment Problem.
CoRR, 2019
2018
2017
Controlling the Residual Life Distribution of Parallel Unit Systems Through Workload Adjustment.
IEEE Trans Autom. Sci. Eng., 2017
Residual Life Prediction of Multistage Manufacturing Processes With Interaction Between Tool Wear and Product Quality Degradation.
IEEE Trans Autom. Sci. Eng., 2017
Multistream sensor fusion-based prognostics model for systems with single failure modes.
Reliab. Eng. Syst. Saf., 2017
Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017
Proceedings of the International Conference on Computational Science, 2017
2015
An adaptive functional regression-based prognostic model for applications with missing data.
Reliab. Eng. Syst. Saf., 2015
2014
A Functional Time Warping Approach to Modeling and Monitoring Truncated Degradation Signals.
Technometrics, 2014
2013
A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis.
IEEE Trans Autom. Sci. Eng., 2013
Stochastic methodology for prognostics under continuously varying environmental profiles.
Stat. Anal. Data Min., 2013
2011
Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors.
Oper. Res., 2011
A Stochastic Methodology for Prognostics Under Time-Varying Environmental Future Profiles.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011
2010
IEEE Trans Autom. Sci. Eng., 2010
2009
IEEE Trans. Syst. Man Cybern. Part A, 2009
IEEE Trans. Reliab., 2009
2008
Prognostic Degradation Models for Computing and Updating Residual Life Distributions in a Time-Varying Environment.
IEEE Trans. Reliab., 2008
A Neural Network Degradation Model for Computing and Updating Residual Life Distributions.
IEEE Trans Autom. Sci. Eng., 2008
2007
A Neural Network Integrated Decision Support System for Condition-Based Optimal Predictive Maintenance Policy.
IEEE Trans. Syst. Man Cybern. Part A, 2007
2006
Sensory-Updated Residual Life Distributions for Components With Exponential Degradation Patterns.
IEEE Trans Autom. Sci. Eng., 2006
2004
Residual life predictions from vibration-based degradation signals: a neural network approach.
IEEE Trans. Ind. Electron., 2004
2001
IEEE Trans. Robotics Autom., 2001