KSU-3266 MONITORING AND DIAGNOSTICS, 6 cr
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Courses persons responsible
Juha Miettinen
Lecturers
Ville Järvinen
Juha Miettinen
Implementations
Person responsible: |
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Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
Lecture | 2 h/week | 2 h/week | - | - | - | - |
Exercise | - | 2 h/week | - | - | - | - |
Exam |
Objectives
The student will familiarize himself with features of some typical machines used in process industry and monitoring and diagnostic techniques for determining their operating state and running condition.
Content
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Operation principles and features of machines for determining their behaviour. | Standards and neural networks in diagnostics. | Some special monitoring methods. |
2. | Monitoring methods of rotaing machines. Recognising the phenomena from measurement signals. | Case studies of diagnostics. | |
3. | Diagnosis process of the operation state of machines. Prognosis. |   |
Requirements for completing the course
Accepted examination.
Evaluation criteria for the course
Study material
Type | Name | Auhor | ISBN | URL | Edition, availability... | Exam material | Language |
Book | Introduction to Machinery Analysis and Monitoring | Mitchell, John, S. | 0-87814-401-3 | Second edition, PennWell Publishing Company | No | English | |
Lecture slides | Diagnostics and monitoring | Juha Miettinen | Dealt out in lectures. | Yes | English | ||
Book | Handbook of condition monitoring | Rao, B.K.N | 1 85617 2341 | First edition, Elsevier Sdvanced Technology | No | English |
Prerequisites
Prequisite relations (Sign up to TUT Intranet required)
Remarks
Distance learning
- In compiling exercise, group or laboratory work
- In distributing and/or returning exercise work, material etc
- In the visualization of objects and phenomena, e.g. animations, demonstrations, simulations, video clips
- Contact teaching: 60 %
- Distance learning: 0 %
- Proportion of a student's independent study: 40 %
Scaling
Methods of instruction | Hours |
Lectures | 48 |
Laboratory assignments | 4 |
Seminar reports | 30 |
Information and communication technology | 12 |
Study materials | Hours |
Mitchell, J.S., Introduction to Machine Analysis and Monitoring | 30 |
Lecture slides, standards | 10 |
Other scaled | Hours |
New tools and study methods | 4 |
Preparation for exam | 16 |
Exam/midterm exam | 3 |
Total sum | 157 |
Last modified | 02.03.2007 |
Modified by | Juha Miettinen |