Nagi Gebraeel

Orcid: 0000-0001-7337-2401

Affiliations:
  • 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 50 papers between 2001 and 2024.

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Bibliography

2024
An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults.
J. Comput. Inf. Sci. Eng., June, 2024

A Collaborative Scheduling Algorithm for Real-Time Production and Opportunistic Maintenance Under Cloud Manufacturing Paradigm.
IEEE Trans. Reliab., March, 2024

Wasserstein Distributionally Robust Multiclass Support Vector Machine.
CoRR, 2024

Task derivation and decomposition in crowdsourced manufacturing by bilevel coordinated optimization of product family planning and manufacturer load balancing.
Comput. Ind. Eng., 2024

A hybrid prognostic & health management framework across multi-level engineering systems with scalable convolution neural networks and adjustable functional regression models.
Adv. Eng. Informatics, 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

Prospect-theoretic Modeling of Team Cognition for Task Allocation Towards Human-automation Symbiosis.
Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 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

Remaining useful life prediction based on a multi-sensor data fusion model.
Reliab. Eng. Syst. Saf., 2021

A degradation-based detection framework against covert cyberattacks on SCADA systems.
IISE Trans., 2021

Multi-sensor prognostics modeling for applications with highly incomplete signals.
IISE Trans., 2021

An Online Approach to Cyberattack Detection and Localization in Smart Grid.
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

Decentralized and Secure Generation Maintenance with Differential Privacy.
CoRR, 2020

Blockchain Based Decentralized Cyber Attack Detection for Large Scale Power Systems.
CoRR, 2020

Large-Scale Maintenance and Unit Commitment: A Decentralized Subgradient Approach.
CoRR, 2020

Distribution Transformer Health Monitoring using Smart Meter Data.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

Deep Learning Based Covert Attack Identification for Industrial Control Systems.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019
Image-Based Prognostics Using Penalized Tensor Regression.
Technometrics, 2019

Condition-Based Maintenance for Queues With Degrading Servers.
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
Multi-sensor slope change detection.
Ann. Oper. Res., 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

Asynchronous Decentralized Framework for Unit Commitment in Power Systems.
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
Prognostics-Based Identification of the Top-k Units in a Fleet.
IEEE Trans Autom. Sci. Eng., 2010

2009
Predictive Maintenance Management Using Sensor-Based Degradation Models.
IEEE Trans. Syst. Man Cybern. Part A, 2009

Residual Life Predictions in the Absence of Prior Degradation Knowledge.
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
Deadlock detection, prevention, and avoidance for automated tool sharing systems.
IEEE Trans. Robotics Autom., 2001


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