course | Predictive Maintenance for Electrical & Industrial Equipment
Join the Predictive Main... course – This program introduces predictive maintenance strategies for electrical and industrial assets. It focuses on using…
EEC-3418 | Predictive Maintenance for Electrical & Industrial Equipment
Course Sector : Electrical Engineering
| Duration | Date from | Date to | Course Venue | Course fees | Book a course |
|---|---|---|---|---|---|
| 3 Days | 01/09/2026 | 03/09/2026 | Riyadh | $2,450 | Book now |
| 3 Days | 03/11/2026 | 05/11/2026 | London | $2,950 | Book now |
| 3 Days | 10/05/2027 | 12/05/2027 | Online | $2,150 | Book now |
| 3 Days | 21/06/2027 | 23/06/2027 | Dubai | $2,450 | Book now |
Course Introduction
This program introduces predictive maintenance strategies for electrical and industrial assets.
It focuses on using condition monitoring techniques to prevent unexpected failures.
Participants will learn how to extend equipment life and reduce operational downtime.
Course objective
Equip engineers and technicians with knowledge and tools for predictive maintenance of electrical and industrial equipment, enhancing reliability, reducing downtime, and optimizing maintenance costs.
Course audience
- Maintenance Engineers and Technicians
- Reliability Engineers
- Industrial and Electrical Engineers responsible for equipment performance
Course Outline | DAY ONE
Fundamentals of Predictive Maintenance
• Introduction to Maintenance Strategies: Reactive, Preventive, Predictive
• Benefits and Challenges of Predictive Maintenance
• Overview of Electrical & Industrial Equipment
• Key Parameters for Monitoring Equipment Health
• Sensors and Data Acquisition Systems
Learning Outcomes:
• Understand different maintenance strategies
• Identify equipment suitable for predictive maintenance
• Know key parameters for condition monitoring
Course Outline | DAY TWO
Condition Monitoring & Diagnostic Techniques
• Vibration Analysis for Rotating Equipment
• Thermal Imaging and Infrared Analysis
• Oil Analysis and Lubrication Monitoring
• Electrical Testing: Insulation, Motor Current Analysis, Partial Discharge
• Case Studies: Detecting Early Faults
Learning Outcomes:
• Perform condition monitoring using multiple diagnostic tools
• Interpret data to detect early signs of equipment failure
• Apply practical techniques to various industrial machines
Course Outline | DAY THREE
Implementation, Troubleshooting & Practical Workshop
• Predictive Maintenance Program Design
• Data Analysis and Decision Making
• Troubleshooting Common Equipment Issues
• Hands-on Workshop: Using Sensors and Diagnostic Tools
• Safety Procedures and Standards
• Q&A and Open Discussion
Learning Outcomes:
• Implement a predictive maintenance program
• Make informed maintenance decisions based on diagnostic data
• Solve real-world problems in electrical and industrial equipment
BOOST’s Professional Attendance Certificate “BPAC”
BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.
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