MSc Reliability Engineering and Asset Management

Year of entry: 2024

Course unit details:
Machinery Vibration-based Condition Monitoring

Course unit fact file
Unit code MECH68041
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 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

This unit is taught online via Blackboard with one full day of teaching.

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
Written exam 50%
Report 50%

Feedback methods

Provided online 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
Lectures 8
Project supervision 50
Tutorials 22
Independent study hours
Independent study 70

Teaching staff

Staff member Role
Jyoti Sinha Unit coordinator

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