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Course Catalog 2012-2013
MEC-3266 Monitoring and Diagnostics, 6 cr |
Additional information
The course is arranged every second year in English language (MEC-3266) and every second year in Finnish language (MEC-3270).
The course is arranged in 2012-2013 in English language.
Suitable for postgraduate studies
Person responsible
Juha Miettinen
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
Accepted examination and exercises.
Completion parts must belong to the same implementation
Learning outcomes
When passing the course the student knows operation monitoring, condition monitoring and diagnostics processes. He knows the fundamentals of machine vibrations and he can present the vibration state of a machine. He knows the common fault mechanisms and types of fault signals of typical industrial machines. The student can choose suitable methods for analysing vibration signal and can identify abnormal phenomena from analysis results concerning different machines. The student familiarises himself with some special monitoring methods and how to simulate signals generated by failure mechanisms.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Operation monitoring, condition monitoring, diagnostics and prognosis. Diagnosis process. | Fault monitoring simulation with Labview graphical software. | Monitoring and diagnostics of electrical phenomena. |
| 2. | Fundamentals of vibration behaviour of machines and presentation of vibration. | High frequency vibration measurement methods. | Expert and neural network systems in monitoring and diagnostics. |
| 3. | Analysis of vibration signal. Beating and modulation. Rolling bearing monitoring. | ||
| 4. | Operation features of common machines for determining their dynamical behaviour and recognising the phenomena from measurement signals. | ||
| 5. | Acoustic emission and oil monitoring methods. Gear transmission monitoring with neural network method. |
Evaluation criteria for the course
The score of the course is determined by the sum of points from examination and exercises. For postgraduate studies a special exercise and minimum score from the source 3 are required.
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Study material
| 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 |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |
| 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. | Lectures Excercises Practical works Laboratory assignments |
Contact teaching: 80 % Distance learning: 0 % Self-directed learning: 20 % |