MSc Reliability Engineering and Asset Management / Course details
Year of entry: 2025
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Course unit details:
Machinery Vibration-based Condition Monitoring
Unit code | MECH69041 |
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Credit rating | 15 |
Unit level | FHEQ level 7 – master's degree or fourth year of an integrated master's degree |
Teaching period(s) | Semester 1 |
Available as a free choice unit? | No |
Overview
- Introduction to Condition Monitoring (CM) including Lubricant, thermography and vibration.
- Introduction to vibration theory to understand machine vibration.
- Instruments details and their selection guidance to meet the requirements.
- Vibration measurement procedure including the concept of anti-aliasing and selection of sampling frequency.
- Signal processing – time domain and frequency domain (spectrum, FRF, etc.), filtering, windowing, envelope analysis, phase analysis, order tracking, orbit plot, etc.
- Theory and experiments on modal testing.
- ODS analysis and rotor balancing.
- Demonstration of a number of industrial case studies linking measurements, data analysis and theory in fault detection & diagnosis, and then solving industrial vibration problems.
- Use of in-situ vibration tests during machine installation and commissioning, and in solving the vibration problem in the aged machines.
Aims
Give a detailed treatment of the in-situ dynamics characterisation, and detection, possibly location and diagnosis of faults in rotating and reciprocating machinery, using vibration analysis.
Syllabus
- Introduction to Condition Monitoring (CM) including Lubricant, thermography and vibration.
- Introduction to vibration theory to understand machine vibration.
- Instruments details and their selection guidance to meet the requirements.
- Vibration measurement procedure including the concept of anti-aliasing and selection of sampling frequency.
- Signal processing – time domain and frequency domain (spectrum, FRF, etc.), filtering, windowing, envelope analysis, phase analysis, order tracking, orbit plot, etc.
- Theory and experiments on modal testing.
- ODS analysis and rotor balancing.
- Demonstration of a number of industrial case studies linking measurements, data analysis and theory in fault detection & diagnosis, and then solving industrial vibration problems.
- Use of in-situ vibration tests during machine installation and commissioning, and in solving the vibration problem in the aged machines.
Teaching and learning methods
The course is delivered as 5-full days of teaching on campus and subsequent discussion through the online Blackboard system.
Knowledge and understanding
• Show an understanding of the vibration monitoring of rotating machines and explain its benefits in improving plant maintenance and reliability.
Intellectual skills
• Select, apply and appraise different vibration instruments and analysis approaches required for the vibration-based monitoring.
Practical skills
• Analyse the data to identify the early defect(s) in machines, and possibly their root causes.
Transferable skills and personal qualities
• Able to develop vibration-based condition monitoring (VCM) system for any machine.
Assessment methods
Method | Weight |
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Written exam | 50% |
Report | 50% |
Feedback methods
Provided in person or via the Blackboard system
Recommended reading
Jyoti K. Sinha, Vibration Analysis, Instruments and Signal Processing, CRC Press/Taylor & Francis, 2014.
Wowk, Victor, Machinery Vibration Measurement and Analysis, McGraw-Hill, Inc., 1991.
ISO 13373-1 Condition monitoring and diagnostics of machines Vibration condition monitoring of machines Part 1: Procedures for vibration condition monitoring of machines.
Thomson, W. T., Dahleh, M. D., Theory of Vibrations With Applications
(Prentice-Hall)
Study hours
Scheduled activity hours | |
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Lectures | 30 |
Practical classes & workshops | 5 |
Project supervision | 50 |
Tutorials | 5 |
Independent study hours | |
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Independent study | 60 |
Teaching staff
Staff member | Role |
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Jyoti Sinha | Unit coordinator |