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Kenneth Loparo
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Cited by
Year
Stochastic stability properties of jump linear systems
X Feng, KA Loparo, Y Ji, HJ Chizeck
IEEE transactions on Automatic Control 37 (1), 38-53, 1992
8531992
Bearing fault diagnosis based on wavelet transform and fuzzy inference
X Lou, KA Loparo
Mechanical systems and signal processing 18 (5), 1077-1095, 2004
7192004
The nature of modeling
J Rothenberg, LE Widman, KA Loparo, NR Nielsen
in Artificial Intelligence, Simulation and Modeling, 1989
3561989
Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: A method for bearing prognostics
H Ocak, KA Loparo, FM Discenzo
Journal of sound and vibration 302 (4-5), 951-961, 2007
3282007
Bearing vibration data set
KA Loparo
http://www. eecs. cwru. edu/laboratory/bearing/download. htm, 2003
3122003
Tool wear condition monitoring in drilling operations using hidden Markov models (HMMs)
HM Ertunc, KA Loparo, H Ocak
International Journal of Machine Tools and Manufacture 41 (9), 1363-1384, 2001
2352001
Analysis of the value for unit commitment of improved load forecasts
BF Hobbs, S Jitprapaikulsarn, S Konda, V Chankong, KA Loparo, ...
IEEE Transactions on Power Systems 14 (4), 1342-1348, 1999
2301999
Alertness and drowsiness detection and tracking system
RF Kaplan, KA Loparo
US Patent 5,813,993, 1998
2291998
Stochastic stability of jump linear systems
Y Fang, KA Loparo
IEEE transactions on automatic control 47 (7), 1204-1208, 2002
2202002
Motorized system integrated control and diagnostics using vibration, pressure, temperature, speed, and/or current analysis
F Discenzo, P Unsworth, SB Vetcha, KA Loparo, CJ Dister, EJ Tomkin
US Patent 7,539,549, 2009
2162009
A neural-network approach to fault detection and diagnosis in industrial processes
Y Maki, KA Loparo
IEEE Transactions on Control Systems Technology 5 (6), 529-541, 1997
2111997
Intelligent fluid sensor for machinery diagnostics, prognostics, and control
FM Discenzo, D Chung, MW Kendig, KA Loparo
US Patent 7,581,434, 2009
2032009
A new bearing fault detection and diagnosis scheme based on hidden Markov modeling of vibration signals
H Ocak, KA Loparo
2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001
1992001
Stabilization of continuous-time jump linear systems
Y Fang, KA Loparo
IEEE Transactions on Automatic Control 47 (10), 1590-1603, 2002
1932002
Estimation of the running speed and bearing defect frequencies of an induction motor from vibration data
H Ocak, KA Loparo
Mechanical systems and signal processing 18 (3), 515-533, 2004
1912004
Scalable digital neuromorphic architecture for large-scale biophysically meaningful neural network with multi-compartment neurons
S Yang, B Deng, J Wang, H Li, M Lu, Y Che, X Wei, KA Loparo
IEEE transactions on neural networks and learning systems, 2019
1902019
Neurophysiologic assessment of brain maturation after an 8-week trial of skin-to-skin contact on preterm infants
MS Scher, S Ludington-Hoe, F Kaffashi, MW Johnson, D Holditch-Davis, ...
Clinical Neurophysiology 120 (10), 1812-1818, 2009
1822009
Physically based diagnosis and prognosis of cracked rotor shafts
CH Oppenheimer, KA Loparo
Component and systems diagnostics, prognostics, and health management II …, 2002
1632002
Machine diagnostic system and method for vibration analysis
CJ Dister, FM Discenzo, KA Loparo
US Patent 6,289,735, 2001
1532001
HMM-based fault detection and diagnosis scheme for rolling element bearings
H Ocak, KA Loparo
1462005
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