Predictive Maintenance for Electrical Systems and Motor Drives
About This Course
This is a 4-day course which, consist of theory lessons and practical session. The participants will take an assessment on the final session.
This course covers theory and practical skills which will equip participants with skillsets covering electrical installation, motor drives and predictive maintenance for electrical installations/assets.
Predictive maintenance in electrical systems uses data-driven monitoring to detect faults early, reducing unplanned downtime and energy inefficiency. By ensuring equipment runs at optimal conditions, it minimises energy losses, lowers carbon footprint, and extends asset lifespan – supporting cleaner and more sustainable operations and contributing to the broader goals of a green economy.
Participants will be introduced to designing concepts, installing and troubleshooting an electrical installation, and knowledge in motors and drive systems. Building on the fundamental electrical installation and motor drives concepts, participants will then gain exposure to data gathering and applying predictive maintenance strategies.
Topics such as statutory requirements for electrical installation, design/selection considerations for protection devices, and power cables and how to replace them, motor and drive systems will be covered. Participants will also analyse electrical parameters like voltage, current, and power to assess the health of electrical assets and their associated circuits. Changes in these signatures can reveal problems with the assets, enabling predictive maintenance.
What You'll Learn
Understand the purpose of predictive maintenance and how predictive maintenance can reduce the frequency of interruptions and prolong an equipment lifespan.
Using data from predictive maintenance to reduces unplanned disruptions which may lead to inefficient energy surges. Optimizing the system energy consumption and leaving cleaner carbon footprint for a green economy.
Interpret electrical layouts and schematic diagrams to identify areas to implement predictive maintenance regime.
Size protective devices, select cable sizes and use of appropriate earthing system. Plan replacement of cables or protective devices upon signs of deterioration for good predictive maintenance practices.
Understand operation of key sensors and signals from motor and drive systems. Interpret data gathered from motor circuit analysis to detect any possible fault which may lead to failure as part of predictive maintenance routine.
Entry Requirements
Participants should have some basic knowledge in Electrical Engineering