Course Catalog 2014-2015

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Course Catalog 2014-2015

MOL-82096 Machinery Diagnostics, 5 cr
Machinery Diagnostics
MOL-82096 2014-01


Study type P1 P2 P3 P4 Summer Lecture times and places
Laboratory work


 2 h/week
 1 h/week

+2 h/week
+1 h/week
 6 h/per

Wednesday 14 - 16 , K4242


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:

Automation Engineering/Machine Automation
DI- ja arkkitehtiopiskelijat
Materials Engineering/Material Science
Signaalinkäsittely ja tietoliikennetekniikka

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  

Contact teaching: 80 %
Distance learning: 5 %
Proportion of a student´s independent study: 15 %