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Richard J Povinelli
Richard J Povinelli
Professor of Electrical and Computer Engineering, Marquette University
Verified email at marquette.edu - Homepage
Title
Cited by
Cited by
Year
Overview of BioCreative II gene mention recognition
L Smith, LK Tanabe, RJ Ando, CJ Kuo, IF Chung, CN Hsu, YS Lin, ...
Genome biology 9, 1-19, 2008
5262008
Induction machine broken bar and stator short-circuit fault diagnostics based on three-phase stator current envelopes
AM Da Silva, RJ Povinelli, NAO Demerdash
IEEE Transactions on Industrial Electronics 55 (3), 1310-1318, 2008
3132008
Time series classification using Gaussian mixture models of reconstructed phase spaces
RJ Povinelli, MT Johnson, AC Lindgren, J Ye
IEEE Transactions on Knowledge and Data Engineering 16 (6), 779-783, 2004
2192004
Analyzing logistic map pseudorandom number generators for periodicity induced by finite precision floating-point representation
KJ Persohn, RJ Povinelli
Chaos, Solitons & Fractals 45 (3), 238-245, 2012
1712012
A new temporal pattern identification method for characterization and prediction of complex time series events
RJ Povinelli, X Feng
IEEE Transactions on Knowledge and Data Engineering 15 (2), 339-352, 2003
1452003
An adaptive Kalman filter for removing baseline wandering in ECG signals
MA Mneimneh, EE Yaz, MT Johnson, RJ Povinelli
2006 Computers in Cardiology, 253-256, 2006
1092006
Probabilistic anomaly detection in natural gas time series data
HN Akouemo, RJ Povinelli
International Journal of Forecasting 32 (3), 948-956, 2016
1072016
Diagnostics of eccentricities and bar/end-ring connector breakages in polyphase induction motors through a combination of time-series data mining and time-stepping coupled FE …
JF Bangura, RJ Povinelli, NAO Demerdash, RH Brown
IEEE Transactions on Industry Applications 39 (4), 1005-1013, 2003
1072003
Statistical models of reconstructed phase spaces for signal classification
RJ Povinelli, MT Johnson, AC Lindgren, FM Roberts, J Ye
IEEE Transactions on Signal processing 54 (6), 2178-2186, 2006
1042006
Automatic segmentation of heart sound signals using hidden Markov models
AD Ricke, RJ Povinelli, MT Johnson
Computers in Cardiology, 2005, 953-956, 2005
1002005
Time series data mining: Identifying temporal patterns for characterization and prediction of time series events
RJ Povinelli
Marquette University, 1999
991999
Short-term load forecasting of natural gas with deep neural network regression
GD Merkel, RJ Povinelli, RH Brown
Energies 11 (8), 2008, 2018
972018
Diagnostics of bar and end-ring connector breakage faults in polyphase induction motors through a novel dual track of time-series data mining and time-stepping coupled FE-state …
RJ Povinelli, JF Bangura, NAO Demerdash, RH Brown
IEEE Transactions on Energy Conversion 17 (1), 39-46, 2002
922002
Speech recognition using reconstructed phase space features
AC Lindgren, MT Johnson, RJ Povinelli
2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003
842003
A reconfigurable motor for experimental emulation of stator winding interturn and broken bar faults in polyphase induction machines
CC Yeh, GY Sizov, A Sayed-Ahmed, NAO Demerdash, RJ Povinelli, ...
IEEE Transactions on Energy Conversion 23 (4), 1005-1014, 2008
832008
A Reconfigurable Motor for Experimental Emulation of Stator Winding Inter-Turn and Broken Bar Faults in Polyphase Induction Machines
DMI Chia-Chou Yeh, Gennadi Y. Sizov, Ahmed Sayed-Ahmed, Nabeel A. O ...
IEEE International Electric Machines and Drives Conference, 1413 – 1419, 2007
83*2007
Identifying temporal patterns for characterization and prediction of financial time series events
RJ Povinelli
International workshop on temporal, spatial, and spatio-temporal data mining …, 2000
802000
Rotor Bar Fault Monitoring Method Based on Analysis of Air-gap Torques of Induction Motors
AD Silva, RJ Povinelli, NOA Demerdash
IEEE Transactions on Industrial Informatics 9 (4), 2274-2283, 2013
792013
Interturn fault diagnosis in induction motors using the pendulous oscillation phenomenon
B Mirafzal, RJ Povinelli, NAO Demerdash
IEEE Transactions on Energy Conversion 21 (4), 871-882, 2006
752006
Data improving in time series using ARX and ANN models
HN Akouemo, RJ Povinelli
IEEE Transactions on Power Systems 32 (5), 3352-3359, 2017
722017
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