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Course ID:
1054

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Machinery Failure Analysis and Prevention (US Course)

This course is not currently scheduled. Click on the Notify Me button to the left to be notified when it is scheduled.

This course is available as a client site course. Please click here for more information.

Who Should Attend
This highly practical course is recommend for those involved in machinery operation and troubleshooting including:

  • Maintenance Engineers
  • Machinery Engineers
  • Supervisors
  • Technicians

Personnel from the refining, pharmaceutical, food, chemical, utilities, mining, fertilizer, and petrochemical industries will benefit.

Description
This course presents a systematic approach to fault and failure prevention in a broad range of machinery. The key routes to maintenance cost avoidance are demonstrated through a brief overview of metallurgical failure analysis and by describing a sequential approach to machinery troubleshooting and problem solving.

Equipment failure events will be reviewed and you are encouraged to bring relevant assembly drawings or such components as failed bearings, gears, mechanical seals and similar machine elements for failure analysis discussion.

The course explains, in detail, field-proven methods to successful failure analysis and troubleshooting. Through several case studies and by thoroughly briefing you on component upgrade measures with demonstrably high payback, it will be shown how such programs can lead to significant failure reductions. A matrix approach to machinery troubleshooting uses illustrative examples in pumps, centrifugal compressors, blowers and fans, reciprocating compressors, gas engines and turbines.

Considerable emphasis is placed on repeatable and focused means of tackling generalized machinery problem solving. These are fully explored in terms of situation and cause analysis, action generation, decision-making, and planning for change. A highly effective shortcut root cause analysis method is explained in detail. Finally, best-of-class managing to achieve optimized machinery uptime is presented.

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