Metalux holds a 3-day Machinery Oil Analysis Training Course session in Malaysia

May 17, 2010 - PRLog -- This intensive course is designed for engineers, supervisors and managers, as well as oil samplers and lubrication technicians tasked with plant and equipment maintenance and reliability to understand and use Oil Analysis as an effective lubrication maintenance tool to enable informed and timely maintenance planning to prevent unplanned outage and to optimise oil change interval. The course also lays an excellent foundation for future STLE CLS (Certified Lubrication Specialist) aspirants.

Distinguish yourself by achieving the STLE professional development certification award “Oil Monitoring Analysts (OMA)” which is geared towards professionals (engineer, scientist and craft people) substantially involved in any oil-based condition monitoring and predictive maintenance activity. OMA certification confers upon you recognition among your peers and management that you are a qualified person possessed of the necessary competencies in the field of machinery oil monitoring to asses whether the oil needs service and/or to assess the health of the oil-lubricated components.

Take up the challenge to sit for the OMA Level 1 certification exam conducted by the Society of Tribologists & Lubrication Engineers (STLE). The course structure and content are designed to also act as a robust preparatory session for the OMA Level I certification exam.

Understand and Implement a Successful Machinery Oil Analysis. Protect your critical equipment and avoid unplanned downtime. Timely maintenance scheduling based on early fault detection information on your oil health and machine wear condition.

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Metalux is the Lubrication Maintenance Specialist providing Machinery Oil Analysis & Vibration Analysis products and services. Tapping on our expertise, we offer training and consultancy for condition monitoring and diagnostics. Our field of specialty lies in rotating equipment, reciprocating equipment, and hydraulic systems to support proactive and predictive condition-based maintenance.