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Machinery Failure, Vibration & Predictive Maintenance
30th May 2016
Machines deteriorate as they get older so we can expect a certain amount of performance falloff 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.
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.
Who Should Attend
The seminar 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.
Job titles include but are not limited to:
- Supervisors in Maintenance/Engineering/Production/Operations
- Team Leaders in Maintenance/Engineering/Production/Operations
- Managers in Maintenance/Engineering/Production/Operations
Key Learning Points
- 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
- 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
- Be able to carry out analysis of machine failures
- Develop a proactive maintenance regime within the organisation.
- Carry out failure analyses thereby avoiding repetitive failures.
- Allow tighter control of maintenance budgets by the avoidance of unplanned equipment failures in service.
For further information of this course, please email to email@example.com