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Nagi Gebraeel
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Cited by
Year
Residual-life distributions from component degradation signals: A Bayesian approach
NZ Gebraeel, MA Lawley, R Li, JK Ryan
IiE Transactions 37 (6), 543-557, 2005
9522005
Residual life predictions from vibration-based degradation signals: a neural network approach
N Gebraeel, M Lawley, R Liu, V Parmeshwaran
IEEE Transactions on industrial electronics 51 (3), 694-700, 2004
6942004
Sensory-updated residual life distributions for components with exponential degradation patterns
N Gebraeel
IEEE Transactions on Automation Science and Engineering 3 (4), 382-393, 2006
3582006
A data-level fusion model for developing composite health indices for degradation modeling and prognostic analysis
K Liu, NZ Gebraeel, J Shi
IEEE Transactions on Automation Science and Engineering 10 (3), 652-664, 2013
3342013
Residual life predictions in the absence of prior degradation knowledge
N Gebraeel, A Elwany, J Pan
IEEE Transactions on Reliability 58 (1), 106-117, 2009
3242009
Sensor-driven prognostic models for equipment replacement and spare parts inventory
AH Elwany, NZ Gebraeel
IIe Transactions 40 (7), 629-639, 2008
3052008
A neural network integrated decision support system for condition-based optimal predictive maintenance policy
S Wu, N Gebraeel, MA Lawley, Y Yih
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2007
2912007
A neural network degradation model for computing and updating residual life distributions
NZ Gebraeel, MA Lawley
IEEE Transactions on Automation Science and Engineering 5 (1), 154-163, 2008
2762008
Prognostic degradation models for computing and updating residual life distributions in a time-varying environment
N Gebraeel, J Pan
IEEE Transactions on Reliability 57 (4), 539-550, 2008
2622008
Predictive maintenance management using sensor-based degradation models
KA Kaiser, NZ Gebraeel
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2009
2352009
Structured replacement policies for components with complex degradation processes and dedicated sensors
AH Elwany, NZ Gebraeel, LM Maillart
Operations research 59 (3), 684-695, 2011
1872011
Stochastic modeling and real-time prognostics for multi-component systems with degradation rate interactions
L Bian, N Gebraeel
Iie Transactions 46 (5), 470-482, 2014
1642014
Remaining useful life prediction based on a multi-sensor data fusion model
N Li, N Gebraeel, Y Lei, X Fang, X Cai, T Yan
Reliability Engineering & System Safety 208, 107249, 2021
1202021
Sensor-driven condition-based generator maintenance scheduling—Part I: Maintenance problem
M Yildirim, XA Sun, NZ Gebraeel
IEEE Transactions on Power Systems 31 (6), 4253-4262, 2016
1192016
Degradation modeling applied to residual lifetime prediction using functional data analysis
RR Zhou, N Serban, N Gebraeel
The Annals of Applied Statistics, 1586-1610, 2011
1172011
Degradation modeling for real-time estimation of residual lifetimes in dynamic environments
L Bian, N Gebraeel, JP Kharoufeh
Iie Transactions 47 (5), 471-486, 2015
1162015
Integrated predictive analytics and optimization for opportunistic maintenance and operations in wind farms
M Yildirim, NZ Gebraeel, XA Sun
IEEE Transactions on power systems 32 (6), 4319-4328, 2017
1072017
Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model
N Li, N Gebraeel, Y Lei, L Bian, X Si
Reliability Engineering & System Safety 186, 88-100, 2019
1062019
Real-time estimation of mean remaining life using sensor-based degradation models
A Elwany, N Gebraeel
1052009
Multistream sensor fusion-based prognostics model for systems with single failure modes
X Fang, K Paynabar, N Gebraeel
Reliability Engineering & System Safety 159, 322-331, 2017
982017
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