PGDip Reliability Engineering and Asset Management / Course details
Year of entry: 2021
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Course unit details:
Machinery Vibration-based Condition Monitoring
| Unit code | MACE69041 |
|---|---|
| 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 |
| Offered by | Mechanical and Aeronautical Engineering Division (L5) |
| Available as a free choice unit? | No |
Overview
This course unit detail provides the framework for delivery in 20/21 and may be subject to change due to any additional Covid-19 impact. Please see Blackboard / course unit related emails for any further updates.
-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 laboratory 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.
The course is delivered as
5-full day teaching and discussion through the web-based Blackboard.
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 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 laboratory 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.
The course is delivered as
5-full day teaching and discussion through the web-based Blackboard.
Assessment methods
| Method | Weight |
|---|---|
| Written exam | 50% |
| Report | 50% |
Feedback methods
Provided in person or via the Blackboard system
Study hours
| Scheduled activity hours | |
|---|---|
| Lectures | 25 |
| Practical classes & workshops | 7 |
| Project supervision | 53 |
| Tutorials | 5 |
| Independent study hours | |
|---|---|
| Independent study | 60 |
Teaching staff
| Staff member | Role |
|---|---|
| Jyoti Sinha | Unit coordinator |