Javad Poshtan
Javad Poshtan
Professor of Electrical Engineering, Iran University of Science and Technology
Verified email at - Homepage
Cited by
Cited by
Bearing fault detection using wavelet packet transform of induction motor stator current
J Zarei, J Poshtan
Tribology international 40 (5), 763-769, 2007
An advanced Park's vectors approach for bearing fault detection
J Zarei, J Poshtan
2006 IEEE International Conference on Industrial Technology, 1472-1479, 2006
Nonlinear model predictive control of a pH neutralization process based on Wiener–Laguerre model
S Mahmoodi, J Poshtan, MR Jahed-Motlagh, A Montazeri
Chemical Engineering Journal 146 (3), 328-337, 2009
Detection of broken rotor bars in induction motors using nonlinear Kalman filters
F Karami, J Poshtan, M Poshtan
ISA transactions 49 (2), 189-195, 2010
Simulative and experimental investigation on stator winding turn and unbalanced supply voltage fault diagnosis in induction motors using Artificial Neural Networks
N Lashkari, J Poshtan, HF Azgomi
ISA transactions 59, 334-342, 2015
Wiener-neural identification and predictive control of a more realistic plug-flow tubular reactor
MM Arefi, A Montazeri, J Poshtan, MR Jahed-Motlagh
Chemical Engineering Journal 138 (1-3), 274-282, 2008
Sensor fault detection and diagnosis of a process using unknown input observer
J Zarei, J Poshtan
Mathematical and Computational Applications 16 (1), 31-42, 2011
Design of nonlinear unknown input observer for process fault detection
J Zarei, J Poshtan
Industrial & Engineering Chemistry Research 49 (22), 11443-11452, 2010
Design and comparison of LQG/LTR and H∞ controllers for a VSTOL flight control system
J Zarei, A Montazeri, MRJ Motlagh, J Poshtan
Journal of the Franklin Institute 344 (5), 577-594, 2007
Distributed interacting multiple filters for fault diagnosis of navigation sensors in a robotic system
N Sadeghzadeh-Nokhodberiz, J Poshtan
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (7), 1383-1393, 2016
Induction motor stator fault detection via fuzzy logic
HF Azgomi, J Poshtan
2013 21st Iranian Conference on Electrical Engineering (ICEE), 1-5, 2013
A new adaptive recursive RLS-based fast-array IIR filter for active noise and vibration control systems
A Montazeri, J Poshtan
Signal Processing 91 (1), 98-113, 2011
Nonlinear model predictive control of chemical processes with a Wiener identification approach
MM Arefi, A Montazeri, J Poshtan, MR Jahed-Motlagh
2006 IEEE International Conference on Industrial Technology, 1735-1740, 2006
Fault detection and isolation using unknown input observers with structured residual generation
MH Sobhani, J Poshtan
International Journal of Instrumentation and Control Systems 2 (2), 1-12, 2012
Fault diagnosis of brushless DC motors using built-in Hall sensors
O Zandi, J Poshtan
IEEE Sensors Journal 19 (18), 8183-8190, 2019
Quantitative and qualitative analysis of time-series classification using deep learning
SA Ebrahim, J Poshtan, SM Jamali, NA Ebrahim
IEEE Access 8, 90202-90215, 2020
Cascaded Kalman and particle filters for photogrammetry based gyroscope drift and robot attitude estimation
J Poshtan, A Wagner, E Nordheimer, E Badreddin
ISA transactions 53 (2), 524-532, 2014
Optimal controller design using discrete linear model for a four tank benchmark process
Y Alipouri, J Poshtan
ISA transactions 52 (5), 644-651, 2013
Optimal placement of loudspeakers and microphones in an enclosure using genetic algorithm
A Montazeri, J Poshtan, MH Kahaei
Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003 …, 2003
A computationally efficient adaptive IIR solution to active noise and vibration control systems
A Montazeri, J Poshtan
IEEE Transactions on Automatic Control 55 (11), 2671-2676, 2010
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