Machinery Failure, Vibration & Predictive Maintenance

This course equips participants with advanced tools and techniques to identify machinery failures, analyze vibration patterns, and apply predictive maintenance methods to prevent unplanned downtime and improve equipment performance.

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Who Should Attend?​

Maintenance engineers, reliability professionals, vibration analysts, plant supervisors, and individuals involved in machinery operations and asset management.

Benefits of Attending​

Gain expertise in failure analysis, vibration monitoring, and predictive maintenance to reduce equipment downtime, optimize performance, and lower maintenance costs.

Learning Objectives

Understand machinery failure mechanisms, utilize vibration analysis tools, and implement predictive maintenance Programmes for improved equipment reliability.

Topics include failure modes and effects analysis (FMEA), vibration analysis techniques, data interpretation, predictive tools, and case studies of industrial applications.

To equip participants with the skills to diagnose machinery issues, interpret vibration data, and implement predictive strategies for proactive maintenance.

Upcoming Courses

Date Location Price   
september 07 - september 11Doha, qatar £4,685.00 Book Now
december 08 - december 12Dubai, UAE £4,685.00 Book Now
september 07 - september 11
Doha, qatar
£4,685.00
december 08 - december 12
Dubai, UAE
£4,685.00

Learn More about this course

Business Case

Essential for minimizing equipment failures, reducing maintenance costs, and ensuring consistent operational performance through advanced predictive maintenance practices.

Technical Consultancy Limited

Technical Consultancy Limited is a member of MTCTCL Consulting Group Limited. TCL Ltd provides technical consultancy and training services to companies in the oil, gas, engineering & petrochemical industry.

Run this course in-house​

MTCTCL's customised training solutions have helped organisations deliver tailored learning in different languages to suit every requirement

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