Professional Certificate of Competency in Vibration Analysis, Balancing, Alignment, Predictive and Precision Maintenance of Machinery

Module 1: Introduction

1. Evolution of maintenance in process plants
2. Classification of plant machinery
3. Maintenance strategies as adopted to each class of machinery
4. Identification of critical machinery and adoption of CBM
5. Principles of predictive maintenance, its utilization in detection and diagnosis
6. Various techniques under predictive maintenance
7. Vibration analysis as one of the key techniques

Module 2: Vibration Basics – Part 1

1. Spring mass system – mass, stiffness, damping
2. Wave fundamentals – concepts of amplitude, frequency, fundamental frequency, harmonics, phase, waveforms (sinusoidal, complex) – concepts of peak, peak-peak, rms

Module 3: Vibration Basics – Part 2

1. Vibration parameters – displacement, velocity, acceleration
2. Choice of vibration parameters
3. Using vibration theory to machinery fault detection
4. Limits and standards of vibration, vibration baselines

Module 4: Data Acquisition Systems and Techniques

1. Vibration transducers and their safe mountings
2. Data acquisition equipment – hand held meters, data collectors (single, dual channel), online monitoring
3. Equipment setup and data collection
4. Basic steps in data acquisition, overlapping, windows

Module 5: Basics of Signal Analysis – Part 1

1. Time waveform analysis
2. Fast Fourier Transform (FFT) analysis
3. Phase measurement
4. Enveloping and demodulation
5. Orbits

Module 6: Basics of Signal Analysis – Part 2

1. Advanced signal analysis
2. Triggered data capture
3. Synchronous time averaging
4. Peak holding averaging
5. Coastdown analysis (bode/Nyquist)
6. Enveloped spectras – gSE, Peakvue, Peakview, SEE
7. Modal shape analysis
8. Cross channel analysis – coherence, FRF, TRF
9. Cepstrum
10. Torsional vibration

Module 7: Balancing

1. Why balance?
2. Identifying unbalance
3. Practical aspects
4. Definitions
5. Single-plane balancing
6. Four-run method
7. Overhung rotor
8. Balancing standards

Module 8: Alignment – Part 1

1. Introduction
2. Identifying misalignment
3. Measuring misalignment
4. Rough methods

Module 9: Alignment – Part 2

1. Reverse dial method
2. Face-rim method
3. Laser alignment
4. Alignment tolerances

Module 10: Vibration Analysis for Different Machinery Faults

1. Bad bearings, journals
2. Gears, couplings
3. Critical Resonance
4. Electrical
5. Miscellaneous

Module 11: Related Tasks for Precision Maintenance

1. Tighten, Lubricate, Clean (TLC)
2. Chemical and particle analysis
3. Ultrasonic inspection
4. Temperature monitoring
5. Performance monitoring
6. Failure analysis, Root Cause Analysis

Module 12: Managing your Precision Maintenance Program

1. Baselines and trending
2. Which machines to monitor
3. Managing the data
4. Scheduling maintenance
5. Outsourcing
6. Selling to management: a new mindset

Upon completion of this course, students will be able to:

• Understand the basics of vibration measurement
• Demonstrate the basics of signal analysis
• Understand measurement and the characteristics of vibration signals
• Use data acquisition equipment for vibration signals
• Diagnose machinery related problems with vibration analysis techniques
• Apply basic signal processing techniques and tools to vibration analysis
• Understand the practical aspects of balancing
• Understand the practical aspects of alignment
• Apply predictive and precision maintenance techniques such as oil analysis, thermography, ultrasonics and performance evaluation

To obtain a certificate of completion for EIT’s Professional Certificate of Competency, students must achieve a 65% attendance rate at the live, online fortnightly webinars. Detailed summaries/notes can be submitted in lieu of attendance. In addition, students must obtain a mark of 60% in the set assignments which could take the form of written assignments and practical assignments. Students must also obtain a mark of 100% in quizzes. If a student does not achieve the required score, they will be given an opportunity to resubmit the assignment to obtain the required score.

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This course will highly benefit to students from a diverse background including engineers, technologists, technicians and maintenance personnel.
Anyone who wants to gain a strong functional knowledge of predictive and precision maintenance techniques to improve their current work skills and to further their job prospects, including:

• Mechanical/Mechatronics engineers, technologist and technicians
• Industrial/Production engineers, technologists and technicians
• Process technicians, technologists and engineers
• Process control engineers and supervisors
• Plant operators and maintenance personnel
• Mechanical equipment sales engineers
• Consulting engineers
• Instrumentation and control engineers
• Maintenance engineers and technicians
• Rotating Equipment Engineers
• Condition Monitoring Technicians

You are expected to spend approximately 5-8 hours per week learning the course content. This includes attending fortnightly webinars that run for about 90 minutes to facilitate class discussion and allow you to ask questions. This program has a 65% attendance requirement in the live webinars in order to graduate from the program.  If you are unable to attend the live webinars, you have the option of watching the recording of completed webinars and sending a summary of what you have learnt from the webinar to the Learning Support officer.  The summaries go towards your attendance requirement for the program.

This program is run online on an intensive part-time basis and has been designed to fit around full-time work. It will take three months to complete.

We understand that sometimes work commitments and personal circumstances can get in the way of your studies, so if at any point you feel that you are struggling with the pace of the course or finding a particular module challenging, you are encouraged to contact your designated Learning Support Officer for assistance.

Registrations are open for our upcoming intakes. Please ensure you book your place at least one week before the start date of the program.