Akademik Dersler - Tanıtım


Code - Course Title	RYL509 - Diagnostics and Monitoring in Railway Systems
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ ONUR KILINÇ
Mode of Delivery	Face to face
Prerequisites	There is no prerequisites or co-requisties for this course
Courses Recomended	-
Required or Recommended Resources	Tavner P., Ran L., Penman J., Sedding H. Condition monitoring of rotating electrical machines. London, U.K: Institution of Engineering and Technology, 2008.
Recommended Reading List	Ngigi, R. W., Pislaru, C., Ball, A., & Gu, F. (2012). Modern techniques for condition monitoring of railway vehicle dynamics. Journal of Physics: Conference Series, 364, 012016. Vinberg, E. M., Martin, M., Alfi Hadi Firdaus, Yihao Tang, & Alireza Qazizadeh. (2018). Railway Applications of Condition Monitoring.
Assessment methods and criteria	Midterm (1), term project, final exam.
Work Placement	Class
Sustainability Development Goals

Weeks	Topics
Week - 1	Introduction
Week - 2	Basic Concepts of Diagnostics and Prognostics
Week - 3	Mechanical Vibration
Week - 4	Industrial Sensors and Measurement Techniques; Transducers, Acoustic Sensors
Week - 5	Accelerometers, Fiber Bragg Grating (FBG) Sensors, Ultrasonic Sensors
Week - 6	Preventive and Predictive Maintenance
Week - 7	Vibration Analysis, Vibrodiagnostics
Week - 8	Acoustic Diagnostics, Doppler Effect
Week - 9	Wheel Defects and Detection, Bearing and Gearbox Fault Detection
Week - 10	Model Based and Data Driven Methods
Week - 11	Fault Classification; Statistical Methods, Frequency Domain Methods
Week - 12	Stationary Methods in Railway Vehicle Diagnostics
Week - 13	Modern Methods in Wayside Railway Vehicle Diagnostics
Week - 14	Multi-fault Detection

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	30
Homework	1	30
Final Exam	1	40
Toplam (%)		100