MSc Reliability Engineering and Asset Management / Course details

Year of entry: 2023

Course unit details:
Machinery Vibration-based Condition Monitoring

Course unit fact file
Unit code MECH69041
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

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

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