Webbinarium

Predictive Maintenance rotating Machine based Online Monitoring and Fault detection

Learn how online monitoring enables predictive maintenance of rotating machines

Join Megger for a technical webinar focused on predictive maintenance of rotating machines using online monitoring and advanced fault detection techniques. This session will explain how continuous condition monitoring enables early fault identification, reduces unplanned downtime, and supports data-driven maintenance strategies for critical rotating assets.

The webinar will highlight how online monitoring technologies provide real-time insight into machine health, allowing maintenance teams to detect developing issues before they lead to failures.
 

What You’ll Learn:

  • Why online monitoring is essential for predictive maintenance of rotating machines
  • Common electrical faults in motors and generators and how they are detected
  • How to interpret monitoring data for early fault diagnosis
  • How Megger monitoring solutions support reliable operation and optimized maintenance planning
     

Why Attend:

  • Free 1-hour technical session plus live Q&A
  • All registrants will receive the webinar recording and attendance certificate
  • Register even if you cannot attend live and watch on demand
  • Submit questions live or receive expert follow-up after the session
     
Speaker:

Mohamed Samy

Motor Segment Product Manager

Dr. Mohamed Samy is an accomplished Motor Segment Product Manager and Projects & Contracts Manager with over 18 years of experience in industrial automation, electrical testing, motor testing and fault analysis, and projects management. He holds a PhDs in Mechatronics Engineering from Helwan University (Egypt) and Vilnius Gediminas Technical University (Lithuania), with a strong research record in monitoring, diagnostics, and electrical fault detection of rotating machinery and motors, and MSc in Vibration analysis and fault detection for motors as well.