Machinery Failure, Vibration & Predictive Maintenance - Virtual Learning
Course Methodology
This Machinery Failure, Vibration & Predictive Maintenance training course will be conducted along workshop principles with formal lectures, case studies and interactive worked examples. Relevant case studies will be provided to illustrate the application of each tool in an operations environment. Each learning point will be re-enforced with practical exercises. There will be ample opportunities for discussion and sharing experiences.
Course Objectives
At the end of this training course participants will have:
- An understanding of Machine Failure Analysis techniques
- An understanding of a range of Predictive Maintenance Technologies
- Knowledge of the potential contribution of each these technologies to maintenance efficiency
- Guidelines indicating how these technologies can interact with and support each other
- Hints and Tips for practical application of these technologies so as to achieve the best results
A practical approach to developing an action plan to utilise these technologies in their own areas of responsibility, fitting them into the overall maintenance strategy, and measuring benefits.
Target Audience
- Supervisors
- Team Leader
- Professionals in Maintenance, Engineering and Production
This Gulf Rowad Machinery Failure, Vibration & Predictive Maintenance training course will also benefit anyone who wishes to update themselves on Predictive Maintenance Technologies and Failure Analysis techniques, as well as those who have to judge the suitability of these technologies for their needs, and learn how to implement them for the benefit of their organisations.
Target Competencies
Organisational Impact
Analysis of machine failures and predictive maintenance of rotating plant is vital to the budgetary success of the operations organisation. On completion of this Machinery Failure, Vibration & Predictive Maintenance training course, the delegate will be able to critically analyse the methodologies employed within the organisation and instigate improvements where required.
Personal Impact
Technical knowledge is key to effective control and peer respect within any maintenance organisation, when this is achieved personal satisfaction follows. This Machinery Failure, Vibration & Predictive Maintenance training course will give the delegate the required level of technical knowledge and skill to achieve that personal satisfaction.
Course Outline
Understanding Failures
- Machine Failure Analysis
- Wear and Tribology
- Fatigue Mechanisms
- Plain, Tilt-pad and Anti-friction Bearing and Seal Failures
Reliability Fundamentals and Methods for Avoiding Failures
- Fundamentals of Reliability of Machinery
- Reliability Determination and Assessment Methods
- Statistical Analysis of Machinery Failures
- Workshop and Case Study
Understanding Predictive Maintenance
- Predictive Maintenance Concepts
- Introduction
- Maintenance Strategies
- Predictive Maintenance – Background and History
- Predictive Maintenance Technologies – An Overview
- Potential Failure Analysis – Deciding which Technologies to Apply
- Vibration Analysis
- Introduction to Vibration Analysis
- Frequency Analysis and the Fast Fourier Transform
- Vibration Transducers
- Basic Failure Mechanisms with Examples
Using Predictive Maintenance
- Vibration Standards and Alarm Levels
- Vibration Diagnostics
- Amplitude Demodulation – a.k.a Enveloping, SSE, HFD, Peak-Vue
- Vibration on Rolling Element Bearings
- Resonance – Identification & Cure
- Other Predictive Maintenance Techniques
- Infrared Thermography
- Thermographic Applications
- Passive Ultrasonics - Contact and Non-contact
- Ultrasonic Applications
- Tribology – Oil Analysis
Control Mechanisms
- Managing Predictive Maintenance
- Performance and Efficiency Monitoring
- Managing the Predictive Maintenance effort
- Cost Analysis
- Reporting Techniques
- Integrating Predictive Maintenance into the Maintenance Plan
2026 Schedule & Fees
| Date | City | Language | Price | Action |
|---|---|---|---|---|
| 28 Jun - 02 Jul, 2026 | Online | English | USD 2,000 | Book |
| 28 Jun - 02 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | English | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | English | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | English | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | English | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | English | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | English | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | English | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | English | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | English | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | English | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | English | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | English | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | English | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | English | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | English | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | English | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | English | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | English | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
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