HAROON RASHID M.S. THESIS, Subject: Remaining Useful Life Predication and Early Failure Detection of Wind Turbine Gearbox Using Machine Learning

HAROON RASHID M.S. THESIS, Subject: Remaining Useful Life Predication and Early Failure Detection of Wind Turbine Gearbox Using Machine Learning

Subject: Remaining Useful Life Predication and Early Failure Detection of Wind Turbine Gearbox Using Machine Learning

Presenter: Haroon Rashid (SEES Master’s Program Student)

Thesis Advisor: Asst. Prof. Dr Canraş BATUNLU

Date: September 24^th, 2020 (Thursday)

Time: 11:00

Room: If you would like to join please send an e-mail to haroon.rashidmetu.edu.tr. The room is going to be determined according to the number of participants.

Please note that according to the valid decisions of the TRNC Council of Ministers, all individuals must wear a face mask when entering the indoor campus facilities and individuals must provide the masks themselves.