HEALTH MONITORING IN TURBOMACHINERY
| Title | Παρακολούθηση Καταπόνησης σε Στροβιλομηχανές / HEALTH MONITORING IN TURBOMACHINERY |
| Code | 602 |
| Faculty | Engineering |
| School | Mechanical Engineering |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter |
| Coordinator | Anestis Kalfas |
| Common | No |
| Status | Active |
| Course ID | 20002104 |
Programme of Study: PPS Aeromichanics Turboengines
Registered students: 1
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Core | Elective Courses belonging to the selected specialization | 1 | 1 | 5 |
| Academic Year | 2018 – 2019 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Class ID | 600131802
|
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600131802
Language of Instruction
- English (Instruction, Examination)
Learning Outcomes
After completing the course the student will be able to:
• Understand different aspects of a real engine operational behaviour, and instrumentation procedures for measured variables.
• Examine what if scenarios with the use of performance simulation models
• Calculate critical engine component health indices based on parameters such as compressor and turbine efficiencies.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Work in an international context
- Work in an interdisciplinary team
Course Content (Syllabus)
Basic principles of turbomachinery operation. Pumps, compressors, steam and gas turbines. Gas turbine performance simulation under steady-state and transient conditions. Engine health monitoring, fault detection and diagnostic principles. Experimental and model-based techniques. Fault diagnosis based on thermodynamic performance, and gas path analysis. Applications of statistical methods (maximum likelihood, Bayesian inference) and knowledge based techniques (neural networks, fuzzy systems) to machinery and process fault detection and isolation. Optimal sensor location methodology. Demonstrations of existing integrated diagnostic systems (developed in house).
Keywords
Health monitoring in turbomachinery
Educational Material Types
- Notes
- Slide presentations
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | |||||
| Reading Assigment | 30 | ||||
| Written assigments | 45 | ||||
| Exams | 15 | ||||
| Total | 90 |
Student Assessment
Description
Exams: Midterm 30%, Final exam 70%
Assignments:
Labs: Practice on use of performance modelling and diagnosis SW.
Bibliography
Additional bibliography for study
A copy of the slides used during the lectures will be available electronically.
Gas turbine theory/ Saravanamuttoo, H. I. H., Rogers GFC, Cohen H, Straznicky PV/Pearson Education Limited. - 6th ed. London : Longman, c2009
Gas Turbine Engineering Handbook /B.Boyce , Gulf Publishing Company, 1987, ISBN 0-87201-878-4
Elements of gas turbine propulsion / Mattigly, Jack D. New York ; Saint Louis : McGraw - Hill, 1996. - (McGraw - Hill series in mechanical enginnering)
Fluid mechanics and thermodynamics of turbomachinery / Dixon, Sydney Lawrence . - 4th ed. Boston ; Oxford : Butterworth-Heinemann, c1998
Last Update
03-11-2015
