PGDip Reliability Engineering and Asset Management / Course details

Year of entry: 2024

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

  • 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
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
Lectures 30
Practical classes & workshops 5
Project supervision 50
Tutorials 5
Independent study hours
Independent study 60

Teaching staff

Staff member Role
Jyoti Sinha Unit coordinator

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