Course Description

This practical and highly-interactive course includes real-life case studies and exercises where participants will be engaged in a series of interactive small groups and class workshops. In the severe weather of the Middle East, lubrication is a major challenge to every maintenance department. High operating costs, downtime, and wear-out of equipment make the life of every maintenance professional in the Middle East very difficult. Bearing in mind that the process plant is usually losing approximately 7% of its entire maintenance budget simply due to poor lubrication practices, it is vital that the maintenance practices become more optimized and proper lubricant analysis be implemented. Using lubricant analysis to monitor condition and diagnose faults in machinery is a key activity in predictive maintenance programmes for most industries. Other non-intrusive technologies including thermography, vibration analysis, acoustic emission and motor current analysis are used as complementary condition analysis tools.Those in the process industry who have diligently and consistently applied these techniques have experienced a return on investment far exceeding their expectations. However, the effectiveness of these programmes depends on the capabilities of individuals who perform the measurements and analyse the data. Haward Technology has designed this interactive training course in accordance with the ISO 18436-4 standard and the guidelines of the ?International Council for Machinery Lubrication? (ICML) including the ICML ?Body of Knowledge? for MLA. On completion of this course, participants will sit for the ICML exam (optional) which will be administered in the last 2 hours of the course. Successful participant will be awarded an ICML certificate of competency assigning him to be a Machine Lubricant Analyst Level-I (MLA). This certificate or declaration of conformity to the ISO18436 will provide recognition of the qualifications and competence of individuals to perform field lubricant analysis for machinery condition monitoring.

link to course overview PDF

TRAINING METHODOLOGY

This interactive training course includes the following training methodologies:

30 % Lectures
20 % Workshops & Work Presentations
20 % Case Studies & Practical Exercises
30 % Videos, Software & Simulators

In an unlikely event, the course instructor may modify the above training methodology for technical reasons.

VIRTUAL TRAINING (IF APPLICABLE)

If this course is delivered online as a Virtual Training, the following limitations will be applicable:

Certificates	:	Only soft copy certificates will be issued
Training Materials	:	Only soft copy materials will be issued
Training Methodology	:	80% theory, 20% practical
Training Program	:	4 hours per day, from 09:30 to 13:30