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Study-Unit Description
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TITLE Condition Monitoring and Systems

LEVEL 05 - Postgraduate Modular Diploma or Degree Course


DEPARTMENT Mechanical Engineering

DESCRIPTION The study-unit will introduce conditioning monitoring highlighting its role in machine health tracking. Various data analysis methods forming the basis of conditioning monitoring will be explained. Different conditioning monitoring techniques used by industry will then be presented. Focus will be made on vibration condition monitoring.

Other techniques presented in this study-unit shall include acoustic, thermal, utrasound and oil debris analysis techniques. Sensor technologies and data acquisition systems for conditioning monitoring will also be covered. Finally the unit will present case studies involving different applications of condition monitoring including power plants and drive trains.

Study-unit Aims:

The main aims of this unit are to give students enough theoretical and practical knowledge to be able to evaluate the different condition monitoring techniques suitable for various engineering applications and to apply the different data analysis techniques used for monitoring the condition of machine components; identify the right instruments for condition monitoring and fault finding of machines and follow the correct condition monitoring procedures in accordance with established standards.

Learning Outcomes:

1. Knowledge & Understanding
By the end of the study-unit the student will be able to:

- distinguish between the different maintenance strategies for machines: involving periodic inspection and condition monitoring;
- explain the role of condition monitoring in machine health monitoring;
- describe general analytical methods applied to conditioning monitoring for the analysis of periodic and random signals;
- explain the different conditioning monitoring techniques used in industry, including vibration monitoring, acoustic emission, thermal techniques, oil debris analysis and ultrasound testing.

2. Skills
By the end of the study-unit the student will be able to:

- determine the statistical characteristics of measurement data through the computation of the mean, standard deviation, Root Mean Square (RMS), skewness and curtosis, power spectral density and autocorrelation;
- apply the Fourier transform and spectral analysis;
- analyse the dynamics and vibration of simple systems and rotating machinery in terms of characteristic frequencies and methods;
- identify the appropriate condition monitoring techniques and associated instrumentation for different engineering applications;
- identify basic faults in rotating machinery, their manifestation and methods for detection and recognition;
- select the appropriate sensors for different condition monitoring techniques;
- specify the basic requirements of a data acquisition system intended to perform measurements relevant to a condition monitoring application;
- apply the appropriate condition monitoring and machine diagnostic procedures in line with established standards.

Main Text/s and any supplementary readings:

Main Text:

- Fundamentals of Mechanical Vibrations, S. Graham, McGraw-Hill Higher Education, 2nd Edition (1 Jun. 2000), ISBN-13: 978-0071163255.
- Vibration Monitoring, Testing and Instrumentation, Clarence W. De Silva, CRC Press; 1st Edition (19 April 2007), ISBN-13: 978-1420063197.
- Machinery Condition Monitoring: Principles and Practices, Amiya Ranjan Mohanty, CRC Press, Taylorand Francis Group (2014). ISBN-13: 978-1466593053.
- Vibration-Based Condition Monitoring: Industrial, Aerospace and Automotive Applications, Robert Bond Randal, John Wiley & Sons (2010). ISBN-13: 978-047074785-8.

STUDY-UNIT TYPE Lecture, Independent Study and Project

Assessment Component/s Resit Availability Weighting
Assignment 30%
Examination (2 Hours) 70%


The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
It should be noted that all the information in the study-unit description above applies to the academic year 2017/8, if study-unit is available during this academic year, and may be subject to change in subsequent years.

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