Version | 1.1 |
Unit Name | Machine Condition Monitoring |
Unit Code | BME209 |
Unit Duration | 1 Semester |
Award |
Bachelor of Science (Engineering) Duration 3 years |
Year Level | Two |
Unit Creator | Dr Milind Siddhpura & Loreto Espiritu |
Common/Stream | Stream |
Pre-requisites | None |
Credit Points |
3 Total Course Credit Points 81 (27 x 3) |
Mode of Delivery | Online or on-campus. |
Unit Workload | (Total student workload including “contact hours” = 10 hours per week; 5 hours per week for 24 week delivery) Pre-recordings / Lecture – 1.5 hours Tutorial – 1.5 hours Guided labs / Group work / Assessments – 2 hours Personal Study recommended – 5 hours |
Unit Description and General Aims
The objective of this unit is to provide students with a thorough understanding of the concept of condition monitoring and its importance to machine’s general health or condition. The subject also involves the identification and use of sensing arrangements with data acquisition and analysis.
The general aim is to enable students to learn and apply various condition monitoring techniques to quantify the health of a machine so that problems can be diagnosed early and corrected by a condition-based maintenance strategy to prevent unwanted equipment failure.
Learning Outcomes
On successful completion of this Unit, students are expected to be able to:
- Evaluate the concept of machine condition monitoring as an effective maintenance management tool.
Blooms Level 5
- Examine the techniques of visual inspection and thermography.
Bloom's Level 4 - Analyse various surface and internal defect detection and visual monitoring techniques
Bloom's Level 4 - Examine performance monitoring and system input/output monitoring as tools of condition monitoring
Bloom's Level 4 - Evaluate vibration monitoring and wear debris analysis techniques
Bloom’s Level 5 - Justify the need to adopt a condition-based maintenance strategy and engineering failure analysis techniques
Bloom's Level 5
Student assessment
Assessment Type
|
When assessed
|
Weighting (% of total unit marks) |
Learning Outcomes Assessed (Topics covered) |
Assessment 1 Type: Weekly Quizzes Description: Students will need to complete multiple-choice quiz questions to demonstrate a good understanding of the fundamental concepts. |
Weekly |
10% |
All (Topics 2-11) |
Assessment 2 Type: Test (Invigilated) Description: Students will need to answer some short and/or long answer questions and/or solve some numerical problems. |
During Topic/Week 6 |
25% |
1, 2 (Topics 1-5) |
Assessment 3 Type: Practical (Report) Description: Students will need to complete this report |
After Topic 9 |
25% |
2, 3, 4, 5 (Topics 2-9) |
Assessment 4 Type: Exam (Invigilated) Description: An examination with a mix of theoretical short/detailed answer questions and some numerical problems. |
Exam Week |
40% |
All (All topics) |
Overall requirements: Students must achieve a result of 50% or above in the exam itself to pass the exam, and must pass the exam to be able to pass the unit. An overall final unit score of 50% or above must be achieved to pass the unit once all assessment, including the exam, has been completed.
Prescribed and Recommended Readings
Textbook
- Randall, B 2021, Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace Applications, Wiley-Blackwell.
- Davies, A 2012, Handbook of Condition Monitoring: techniques and methodology, Chapman and Hall, London, U.K.
- Mohanty, AR 2017, Machinery Condition Monitoring: Principles and Practices, CRC Press, ISBN-13: 978-1466593046
Reference
- Rao, BKN 1996, Handbook of Condition Monitoring, 1st edition, Elsevier Science Ltd, ISBN-13: 978-1856172349
- Randall, R.B. 2010 Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace Applications. John Wiley & Sons, Incorporated, Hoboken, N.J.
Journal, website
http://www.plant-maintenance.com/maintenance_articles.shtml
https://www.wbdg.org/resources/rcm.php
www.scirp.org/journal/PaperDownload.aspx?paperID=3165
Notes and Reference Texts
Machinery Vibration Analysis and Predictive Maintenance, IDC Technologies, Perth
Practical Lubrication Engineering for Engineers and Technicians, IDC Technologies, Perth
Reliability Centred Maintenance, IDC Technologies, Perth
Other material advised during the lectures
Unit Content
Topic 1
Introduction to Machine Condition Monitoring
1.1 Introduction
1.2 Condition Monitoring and Diagnostic Engineering Management (COMADEM)
1.3 Economic justification and benefits
1.4 Market research
1.5 COMADEM education
Topic 2
Conditioned Based Maintenance
2.1 Introduction
2.2 Vibration monitoring
2.3 Thermography
2.4 Tribology
2.5 Other monitoring techniques
Topic 3
Techniques for Visual Inspection
3.1 Introduction
3.2 Unsophisticated low-cost aides
3.3 Portable information logs
3.4 More sophisticated systems
3.5 Automated visual inspection
Topic 4
Thermal monitoring using infrared thermography
4.1 Introduction
4.2 Simple temperature measurementtechniques
4.3 Pyrometry and infrared line scanners
4.4 Thermal imaging or thermographicsystems
4.5 Condition monitoring case studies
4.6 The future of thermography,applications and conclusions
Topic 5
5.1 Introduction
5.2 Eddy current testing
5.3 Electrical resistance testing (AC or OCPD)
5.4 Flux leakage testing and magnetictesting
5.5 Penetrant testing
5.6 Radiographic testing
5.7 Resonant spectroscopic testing
5.8 Ultrasonic testing
5.9 Visual testing
Topic 6
Commercial applications of visual monitoring
6.1 Introduction
6.2 Borescopes, fibre scopes and endoscopes
6.3 Video imaging
6.4 Thermal and ultrasonic imaging
6.5 Laser systems
6.6 Special applications
Topic 7
Techniques for Performance Monitoring
7.1 Introduction
7.2 Energy conversion, flow monitoring and efficiency
7.3 Steady-state signals and instrumentcalibration
7.4 Instrument installation - hydraulicpower
7.5 Instrument installation - electricalpower
7.6 Instrument installation - torque and speed
7.7 Instrument installation - temperature
7.8 Instrument installation – flow measurement
Topic 8
System input/output monitoring and use of models
8.1 Introduction
8.2 System monitoring
8.3 Machine health analysis
8.4 Graphic pattern analysis
8.5 Tracking rate analysis
8.6 Neural network application
8.7 Statistical measures
8.8 Time-based analysis
8.9 Models
8.10 Spectrum analysis
Topic 9
Techniques of Vibration Monitoring
9.1 Introduction
9.2 Measuring vibration
9.3 Frequency
9.4 Phase
9.5 Vibration analysis
9.6 Complex vibration
9.7 Vibration severity
9.8 Velocity RMS
9.9 High-frequency detection systems
9..10 Vibration and predictive maintenance
9.11 Monitoring machine vibration
Topic 10
Techniques for Wear Debris Analysis
10.1 Introduction
10.2 Wear in lubricated systems
10.3 Wear debris - transport, monitoringefficiency and analysis
10.4 Lubricant properties and oil analysismethods
10.5 Wear debris analysis methods
10.6 Physical testing of lubricants
10.7 Implementation of wear debris monitoring and oil analysis programmes
Topic 11
Adopting a Condition-Based Maintenance Strategy
11.1 Introduction
11.2 Assessing the need for condition monitoring
11.3 Cost justification
11.4 Justifying CM at present
11.5 Technique selection and implementation in condition monitoring
11.6 Pitfalls, benefits and collective wisdom
Topic 12
Engineering Failure Analysis (book: Mohanty)
12.1 Introduction
12.2 Overview of failure analysis
12.3 Failure modes
12.4 Failure analysis
12.5 Failure analysis sampling guide
Software/Hardware Used
Software
- Software: N/A
- Version: N/A
- Instructions: N/A
- Additional resources or files: N/A
Hardware
- N/A