Machninery Diagnostics and Prognostics
COURSE CONTENT
1. Introduction to rotating machinery diagnostics and prognostics – Basic principles and problems
2. Data acquisition
3. Signal and non-parametric processing
4. Time domain rotating machinery diagnostics
5. Frequency domain rotating machinery diagnostics
6. Rotating machinery prognostics
7. Applications and laboratory testing
LEARNING OUTCOMES
One of the objectives of this course is for the student to develop the following abilities / skills:
a) data and information search, analysis and synthesis, using corresponding technologies,
b) adapting to new environments
c) decision making
d) independent work
e) working in an interdisciplinary environment
f) evaluation and self-evaluation
g) encouraging free, creative and deductive thinking
Προπτυχιακά
Τελευταία νέα & ανακοινώσεις
- September 16, 2021