Course Description
Failure analysis and Predictive Maintenance techniques, including vibration analysis, are discussed in the course with a view to optimising the maintenance engineering effort while maximising production. Other techniques that will be addressed include infrared thermography, passive ultrasonics, tribology and performance monitoring
What Do Participants Learn?
At the end of this 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.
Who Should Attend?
What Will the Learning Experience Include?
Phase: 1
Introduce
- Comprehensive pre-program activities include:
- Web-based information forms & surveys completed by attendee.
- Direct consultation with the attendee about the expectations.
- During the training, participants engage in data, activities, and conversations that lead to insight and knowledge.
- Participants learn from expert trainers who have both academic and business experiences.
- Highly applicable training content & instructive activities for adding depth to training topics.
- **A half-day site visit for integrating the experience & plan next steps. Opportunities to provide connections, ideas & support.
Phase: 2
Explore & Practice
Phase: 3
Apply
- Apply & sustain the learning experience by using this ongoing support:
- To ensure participant has new skills or behavior progress.
- Optional, fee-based mentoring & coaching with the trainer.
- Training materials & additional documents (e-books, pdf files, presentations and articles)
- Evaluate your training experience by giving us feedbacks and help us to reach our organizational goals.
- Participant's Evaluation
- Trainer's Evaluation
Phase: 4
EVALUATE
Section One:
- Understanding Failures
- Machine Failure Analysis
- Wear and tribology
- Fatigue mechanisms
- Plain, tilt-pad and anti-friction bearing and seal failures
Section Two:
- Avoiding Failures
- Trouble shooting techniques
- Statistical analysis of machinery failures
Section Three:
- 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
Section Four:
- 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
Section Five:
- 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