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Course Catalog 2014-2015
MOL-82096 Machinery Diagnostics, 5 cr
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Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Lecture times and places |
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Description:
When passing the source the student knows principles of most common condition monitoring methods and principles of determining the running situation and principles of fault diagnostics. The student can identify normal and abnormal phenomena of different machines based on measurement results. He can choose suitable vibration monitoring method for typical industrial machinery and he can analyse measurement results. The student can combine different measurement data and machine data for defining the running state of a machine or carry out fault diagnosis.
Person responsible:
Juha Miettinen
Target groups:
Automaatiotekniikka
Automation Engineering/Machine Automation
DI- ja arkkitehtiopiskelijat
Konetekniikka
Materiaalitekniikka
Materials Engineering/Material Science
Signaalinkäsittely ja tietoliikennetekniikka
Tuotantotalous
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Methods of instruction:
| Methods of instruction | Hours |
| Lectures | 64.0 |
| Excercises | 32.0 |
| Laboratory assignments | 8.0 |
| Study material | Hours |
| Luentokalvot | 10.0 |
| Oppikirja | 10.0 |
| Other measurings | Hours |
| New tools and methods | 10.0 |
| Preparation for examination | 10.0 |
| Examination/partial examinatinss | 3.0 | 147.0 |
Contact teaching: 80 %
Distance learning: 5 %
Proportion of a student´s independent study: 15 %