How to diagnose malfunctions in electric motors?
What would industry be without electric motors?
The question that arises is how best to manage the maintenance of these essential assets in order to guarantee maximum reliability of production lines and therefore their availability.
Predictive maintenance of motors is therefore becoming a key issue. Did you know that 40% of motor failures are of electrical origin? It is therefore important to consider MCA (Motor Circuit Analysis) & MCSA (Motor Current Signature Analysis) techniques as an integrated part of a global approach, aiming to control the failure modes influenced by or at the origin of supply current and voltage disturbances.
Learning objectives
- Identify the different industrial motor technologies and their associated components
- Identify the typical failure modes of electric motors
- Master the different measurement methods for monitoring the condition of electric motors
- Measurement methods for low and high voltage insulation systems
- Online (MCSA) or offline (MCA), the advantages, disadvantages and limitations of the different measurement methods
Who is this training for?
Reliability engineers, maintenance managers and engineers, operations managers, and anyone involved in and wishing to deepen their knowledge in the field of electric motor analysis.
Votre formateur
Antoine Point is an Industrial Engineer in electromechanics and, as Senior Reliability Engineer at I-Care, is an expert in electric rotating machines. From his 20-year career with major industrial maintenance companies (Alstom, GE), he shares his experience acquired in the control, diagnosis and maintenance of electrical production equipment (gas, nuclear, hydro, cogeneration alternators) and industrial AC or DC motors.
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