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KSU-3266 Monitoring and Diagnostics, 6 cr |
Juha Miettinen
Lecture times and places | Target group recommended to | |
Implementation 1 |
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Accepted examination and seminar work.
Completion parts must belong to the same implementation
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The student will familiarize himself with dynamical behaviour of machines and with monitoring and diagnostic techniques for determining their operating state and running condition.
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Operation principles and features of machines for determining their dynamical behaviour. | Standards and neural networks in diagnostics. | Some special monitoring methods. |
2. | Monitoring methods of rotating machines. Recognising the phenomena from measurement signals. | Case studies of diagnostics. | |
3. | Diagnosis process of the operation state of machines. Prognosis. |
The score of the course is determined by the sum of points from examination and exercises.
Numerical evaluation scale (1-5) will be used on the course
Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
Book | Handbook of condition monitoring | Rao, B.K.N | 1 85617 2341 | First edition, Elsevier Advanced Technology | English | ||
Book | Introduction to Machinery Analysis and Monitoring | Mitchell, John, S. | 0-87814-401-3 | Second edition, PennWell Publishing Company | English | ||
Lecture slides | Diagnostics and monitoring | Juha Miettinen | Dealt out in lectures. | English |
Description | Methods of instruction | Implementation | |
Implementation 1 | Operation monitoring methods of machines, determining the operation state of a machine and fault diagnostics. | Lectures Seminar work Laboratory assignments |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |