How to diagnose malfunctions in electric motors?
This intensive one-day training introduces you to advanced predictive diagnostic techniques for in-service electric motors, with a strong focus on practical, on-site applications.
What would industry be without electric motors? Ensuring maximum reliability of production lines and continuous availability means mastering the maintenance of these critical assets.
Designed for maintenance technicians and engineers, this course focuses on real-world predictive diagnostics of electric motors using well-established techniques such as MCA (Motor Circuit Analysis) and MCSA (Motor Current Signature Analysis).
Did You Know?
Around 40% of electric motor failures are of electrical origin. That’s why integrating MCA and MCSA into your maintenance strategy is essential — to detect anomalies and anticipate failures related to supply current and voltage.
Learning objectives
- Identify different industrial motor technologies and their components
- Recognize typical failure modes of electric motors
- Master various measurement techniques for monitoring motor condition
- Understand insulation testing methods for both low and high voltage
- Compare online (MCSA) vs. offline (MCA) methods: advantages, limitations, and when to use each
Who is this training for?
This training is intended for:
- Reliability engineers
- Maintenance managers and engineers
- Operations managers
- Anyone involved in electric motor diagnostics who w
About the trainer
The course is delivered by one of the expert trainers from Technical Associates of Europe, the training division of I-Care, a recognized center of expertise in maintenance, reliability, and predictive maintenance of industrial assets.
The trainers are seasoned professionals with extensive hands-on experience across diverse industrial environments. They combine deep technical expertise with a strong focus on practical application. Their skillset covers maintenance strategy, vibration analysis, ultrasound inspections, lubrication management, oil analysis, and mechanical interventions such as alignment and balancing. Their approach bridges advanced technology with the day-to-day operations of maintenance and reliability teams, aiming to implement sustainable and effective improvements.
Veuillez vous inscrire min. 2 semaines avant la date. Le PO peut être fourni plus tard.
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