Course Description
Machines deteriorate as they get older so we can expect a certain amount of performance fall-off and general deterioration of the machine. If we understand the failure mechanisms that are in place we can identify which parameters best indicate the deterioration of the machine. In this comprehensive course, the delegates will benefit from using modern methods and technologies to learn reliability basics, fault analysis, and monitoring techniques.
Failure analysis and Predictive Maintenance techniques including vibration analysis are discussed in the course with a view to optimizing the maintenance engineering effort while maximizing production. Other techniques that will be addressed include infrared thermography, passive ultrasonic, tribology, and performance monitoring.
What Do Participants Learn?
- Understand and gain knowledge on machinery failure, vibration analysis, and predictive maintenance
- Determine why machines fail and how to identify the “bad actors”
- Determine the range of Predictive Maintenance Technologies
- Recognize the potential contribution of each these technologies to maintenance efficiency
- Use the guidelines indicating how these technologies can interact with and support each other
- Illustrate the hints and tips for practical application of these technologies so as to achieve the best results
- Apply a practical approach to developing an action plan to utilize these technologies in their own areas of responsibility, fitting them into the overall maintenance strategy, and measuring benefits
Who Should Attend?
This course is directed towards supervisors, team leaders, and managers in maintenance, engineering, and production. The 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 organizations.
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 to 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 Ultrasonic - 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