Course Description

This practical and highly-interactive course includes practical sessions and exercises. Theory learnt will be applied using the iLearn Vibration simulator. Preventive maintenance and condition monitoring techniques provide data that define required servicing and inspection periods so that maintenance departments can determine in advance when equipment must be shutdown for overhaul. Statistics are proving that these programs, when properly implemented, can minimize equipment and system breakdowns, resulting in a major reduction in total maintenance and operating costs. This course covers all facets of preventive maintenance and condition monitoring. It is designed to benefit every level of maintenance personnel, providing the most up-to-date facts and techniques on the maintenance technology that is revolutionizing the way our industry operates. It examines the importance of preventive maintenance in a "World Class Maintenance" environment. The course is designed to provide an insight into condition monitoring (CM). It will cover the various methods of maintenance and it will give the participant an introduction to the techniques utilized in condition monitoring such as noise & vibration measurement, infrared thermography, oil debris analysis, laser alignment and balancing, vibration and engine analyzers, boroscope inspection and lube oil sampling.Participants will understand the place of condition monitoring in the maintenance process and will appreciate the implications for maintenance cost saving and improved machine reliability. They will be able to assess plant for the most appropriate monitoring parameter, will learn of the various specialist instruments and methods, be able to plan a monitoring programme and set up measurement rounds. The course will introduce participants to the dynamic behaviour of machines and discuss appropriate fault detection and diagnostic criteria and schemes for various applications. It will address the more popular techniques which employ dynamic data analysis, including vibration and acoustic emission signals for the recognition of early life failures in machines. Emphasis will be placed on the practical application of tools to identify a wide range of mechanical, electrical and lubrication flaws in machinery and an objective approach to the optimum choice of analysis procedure.

TRAINING METHODOLOGY

This interactive training course includes the following training methodologies as a percentage of the total tuition hours

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 before or during the course 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 to participants through Haward’s Portal. This includes Wallet Card Certificates if applicable
Training Materials	:	Only soft copy Training Materials (PDF format) will be issued to participant through the Virtual Training Platform
Training Methodology	:	80% of the program will be theory and 20% will be practical sessions, exercises, case studies, simulators or videos
Training Program	:	The training will be for 4 hours per day starting at 09:30 and ending at 13:30
H-STK Smart Training Kit	:	Not Applicable
Hands-on Practical Workshops	:	Not Applicable
Site Visit	:	Not Applicable
Simulators	:	Only software simulators will be used in the virtual courses. Hardware simulators are not applicable and will not be used in Virtual Training