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 | 897 | 1992 |
Bearing fault diagnosis based on wavelet transform and fuzzy inference X Lou, KA Loparo Mechanical systems and signal processing 18 (5), 1077-1095, 2004 | 812 | 2004 |
The nature of modeling J Rothenberg, LE Widman, KA Loparo, NR Nielsen in Artificial Intelligence, Simulation and Modeling, 1989 | 375 | 1989 |
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 | 364 | 2007 |
Bearing vibration data set KA Loparo http://www. eecs. cwru. edu/laboratory/bearing/download. htm, 2003 | 361 | 2003 |
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 | 301 | 2009 |
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 | 282 | 1999 |
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 | 276 | 2019 |
Intelligent fluid sensor for machinery diagnostics, prognostics, and control FM Discenzo, D Chung, MW Kendig, KA Loparo US Patent 7,581,434, 2009 | 270 | 2009 |
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 | 250 | 2001 |
Alertness and drowsiness detection and tracking system RF Kaplan, KA Loparo US Patent 5,813,993, 1998 | 248 | 1998 |
Stochastic stability of jump linear systems Y Fang, KA Loparo IEEE transactions on automatic control 47 (7), 1204-1208, 2002 | 236 | 2002 |
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 | 231 | 1997 |
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 | 215 | 2001 |
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 | 214 | 2009 |
Stabilization of continuous-time jump linear systems Y Fang, KA Loparo IEEE Transactions on Automatic Control 47 (10), 1590-1603, 2002 | 207 | 2002 |
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 | 203 | 2004 |
Physically based diagnosis and prognosis of cracked rotor shafts CH Oppenheimer, KA Loparo Component and systems diagnostics, prognostics, and health management II …, 2002 | 198 | 2002 |
Case western reserve university bearing data center K Loparo Bearings Vibration Data Sets, Case Western Reserve University, 22-28, 2012 | 170 | 2012 |
HMM-based fault detection and diagnosis scheme for rolling element bearings H Ocak, KA Loparo | 166 | 2005 |