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Mojtaba Kordestani
Mojtaba Kordestani
Bestätigte E-Mail-Adresse bei uwindsor.ca
Titel
Zitiert von
Zitiert von
Jahr
Fault detection and diagnosis of an industrial steam turbine using fusion of SVM (support vector machine) and ANFIS (adaptive neuro-fuzzy inference system) classifiers
K Salahshoor, M Kordestani, MS Khoshro
Energy 35 (12), 5472-5482, 2010
2792010
Failure prognosis and applications—A survey of recent literature
M Kordestani, M Saif, ME Orchard, R Razavi-Far, K Khorasani
IEEE transactions on reliability 70 (2), 728-748, 2019
2612019
Critical wind turbine components prognostics: A comprehensive review
M Rezamand, M Kordestani, R Carriveau, DSK Ting, ME Orchard, M Saif
IEEE Transactions on Instrumentation and Measurement 69 (12), 9306-9328, 2020
1242020
Fault detection and diagnosis of an industrial steam turbine using a distributed configuration of adaptive neuro-fuzzy inference systems
K Salahshoor, MS Khoshro, M Kordestani
Simulation Modelling Practice and Theory 19 (5), 1280-1293, 2011
972011
A new hybrid fault detection method for wind turbine blades using recursive PCA and wavelet-based PDF
M Rezamand, M Kordestani, R Carriveau, DSK Ting, M Saif
IEEE Sensors journal 20 (4), 2023-2033, 2019
942019
A new fault diagnosis of multifunctional spoiler system using integrated artificial neural network and discrete wavelet transform methods
M Kordestani, MF Samadi, M Saif, K Khorasani
IEEE Sensors Journal 18 (12), 4990-5001, 2018
742018
Multi-feature fusion approach for epileptic seizure detection from EEG signals
M Radman, M Moradi, A Chaibakhsh, M Kordestani, M Saif
IEEE sensors journal 21 (3), 3533-3543, 2020
722020
An integrated feature-based failure prognosis method for wind turbine bearings
M Rezamand, M Kordestani, R Carriveau, DSK Ting, M Saif
IEEE/ASME Transactions on Mechatronics 25 (3), 1468-1478, 2020
592020
A new fusion estimation method for multi-rate multi-sensor systems with missing measurements
M Kordestani, M Dehghani, B Moshiri, M Saif
Ieee Access 8, 47522-47532, 2020
552020
Improved remaining useful life estimation of wind turbine drivetrain bearings under varying operating conditions
M Rezamand, M Kordestani, ME Orchard, R Carriveau, DSK Ting, M Saif
IEEE Transactions on Industrial Informatics 17 (3), 1742-1752, 2020
542020
Observer-based attack detection and mitigation for cyberphysical systems: A review
M Kordestani, M Saif
IEEE Systems, Man, and Cybernetics Magazine 7 (2), 35-60, 2021
532021
Application of imputation techniques and adaptive neuro-fuzzy inference system to predict wind turbine power production
M Morshedizadeh, M Kordestani, R Carriveau, DSK Ting, M Saif
Energy 138, 394-404, 2017
522017
A modular fault diagnosis and prognosis method for hydro-control valve system based on redundancy in multisensor data information
M Kordestani, A Zanj, ME Orchard, M Saif
IEEE Transactions on Reliability 68 (1), 330-341, 2018
482018
Recent survey of large-scale systems: Architectures, controller strategies, and industrial applications
M Kordestani, AA Safavi, M Saif
IEEE Systems Journal 15 (4), 5440-5453, 2021
452021
Power production prediction of wind turbines using a fusion of MLP and ANFIS networks
M Morshedizadeh, M Kordestani, R Carriveau, DSK Ting, M Saif
IET Renewable Power Generation 12 (9), 1025-1033, 2018
432018
A new fault prognosis of MFS system using integrated extended Kalman filter and Bayesian method
M Kordestani, MF Samadi, M Saif, K Khorasani
IEEE Transactions on Industrial Informatics, 2018
422018
Maximum power point tracker (MPPT) for photovoltaic power systems-a systematic literature review
M Kordestani, A Mirzaee, AA Safavi, M Saif
2018 European Control Conference (ECC), 40-45, 2018
402018
A new hybrid fault prognosis method for MFS systems based on distributed neural networks and recursive bayesian algorithm
M Kordestani, MF Samadi, M Saif
IEEE Systems Journal 14 (4), 5407-5416, 2020
392020
Improved estimation for well-logging problems based on fusion of four types of Kalman filters
S Soltani, M Kordestani, PK Aghaee, M Saif
IEEE Transactions on Geoscience and Remote Sensing 56 (2), 647-654, 2017
312017
Improved power curve monitoring of wind turbines
M Morshedizadeh, M Kordestani, R Carriveau, DSK Ting, M Saif
Wind engineering 41 (4), 260-271, 2017
312017
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