Milad Rezamand
Milad Rezamand
Verified email at uwindsor.ca
Title
Cited by
Cited by
Year
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
202019
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
162020
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
102020
Failure diagnosis of wind turbine bearing using feature extraction and a neuro-fuzzy inference system (ANFIS)
M Kordestani, M Rezamand, R Carriveau, DSK Ting, M Saif
International Work-Conference on Artificial Neural Networks, 545-556, 2019
102019
Aggregate reliability analysis of wind turbine generators
M Rezamand, R Carriveau, DSK Ting, M Davison, JJ Davis
IET Renewable Power Generation 13 (11), 1902-1910, 2019
62019
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, 2020
32020
Planetary Gear Faults Detection in Wind Turbine Gearbox Based on a Ten Years Historical Data From Three Wind Farms
M Kordestani, M Rezamand, M Orchard, R Carriveau, DSK Ting, M Saif
IFAC-PapersOnLine 53 (2), 10318-10323, 2020
2020
Failure Prognosis of Wind Turbine Components
M Rezamand
University of Windsor, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–8