How to Implement On-Line Condition Monitoring of Electric Motors and Power Transformers Using Electrical Signature Analysis
Electric motors and power transformers are critical assets in many industrial environments. Unintentional stoppages of these machines can lead to significant non-production costs, operational disruptions and increased safety risks. At the same time, you are expected to improve asset reliability, optimise maintenance resources and move from a reactive maintenance approach towards a predictive maintenance strategy.
Today, well-established techniques such as vibration analysis for electric motors and dissolved gas analysis for power transformers are widely used and provide valuable information. However, these methods do not always give a complete picture of the actual condition of electrical machines. Because these assets are inherently electrical in nature, important information about their behaviour and degradation mechanisms may remain undetected when relying solely on mechanical or chemical monitoring techniques.
So the question becomes: how do you extract more condition information from the assets you already power and operate every day? Electrical Signature Analysis provides a practical way to monitor motors and transformers online through electrical measurements, adding another layer of insight for predictive maintenance. This way, you gain deeper insight into the operating condition of electric motors and power transformers, without intrusive installations or production downtime.
In this webinar, you will learn how Electrical Signature Analysis can be applied in practice for the online condition monitoring and predictive maintenance of electric motors and power transformers. The session will cover diagnostic principles, practical implementation aspects and the added value of this technique, supported by real industrial case studies.
Programme
- Introduction
- Advantages of Electrical Signature Analysis
- PreditMot – Condition Monitoring of Electric Motors
- Diagnostic principles
- Installation
- Case studies
- PreditTrans – Condition Monitoring of Power Transformers
- Diagnostic principles
- Installation
- Case studies
- Conclusions
You learn how to assess the potential of Electrical Signature Analysis for online condition monitoring. You learn how to apply it to electric motors and power transformers and which types of failures can be detected at an early stage. Attend this webinar to gain practical guidance on how to strengthen your predictive maintenance strategy.
Practical
09:45 Welcome to the BEMAS Live Learning Platform
10:00 Start of the presentation
10:45 Conclusion and Q&A
About the speaker
Jorge Estima is Head of Products at Enging Make Solutions. He holds a PhD in Electrical Engineering from the University of Coimbra, specialising in diagnostics and condition monitoring of electric drives based on Electrical Signature Analysis. From 2016 to 2019, he served as an invited assistant professor at the University of Beira Interior.
Throughout his academic career, Jorge has been involved in several national and international research projects and has published three book chapters and more than 50 scientific papers, mainly in leading IEEE and IET journals and conferences. Since 2016, he has been responsible for the technical development of Enging’s condition monitoring solutions, supporting a wide range of industrial sectors including power generation, TSO/DSOs, chemical, cement, mining, pulp and paper, oil and gas, and water industries.
This webinar is part of the Asset Performance Conference programme
Asset Performance is BEMAS’ international platform on digitisation in maintenance, asset management and reliability. Want to explore more practical cases and expert insights recorded at the Asset Performance Conference? Register for access to the online conference platform, including all 2025 recordings, recordings from previous years, and access to upcoming webinars & workshops.
Online platform access rates
- 1 person: €345
- 5 people: €445
- 10 people: €645 (best value)
This gives you and your colleagues the flexibility to deepen your knowledge, revisit key sessions and stay connected to the latest developments in asset performance throughout the year.
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