How to improve production line efficiency through electrical signature analysis (ESA)
In an increasingly competitive and demanding industrial environment, asset management faces major challenges related to performance optimisation, cost control and the transition to a more sustainable industry.
Today, asset owners are faced with several key issues: ageing infrastructure, rising energy costs, the transition to Industry 4.0, a shortage of skilled labour, spare parts inventory management and compliance with environmental and safety regulations.
Improving production line efficiency requires a proactive approach to maintenance and energy optimisation. Electrical Signature Analysis (ESA) is an innovative solution to these challenges. By analysing equipment consumption and electrical behaviour in real time, ESA enables you to anticipate breakdowns, optimise maintenance, improve energy performance and enhance the reliability of industrial processes.
Presentation content
- Understanding ESA and its industrial applications
- Introduction to electrical signature analysis
- Implementation and concrete benefits
- Exploring the benefits of integrating AI into industrial diagnostics
- Optimising inspections with artificial intelligence
- Improving diagnostic accuracy and speed
- Improving overall equipment efficiency through electrical diagnostics
- Energy performance analysis
- Reducing consumption and maintaining productivity
- Optimising equipment reliability and reducing maintenance costs
- Preventing mechanical and electrical failures
- Case studies and feedback
- Enhancing the safety and sustainability of industrial operations
- Reducing human intervention in high-risk areas
- Increased equipment longevity
What you will learn
You will discover how electrical signature analysis can transform industrial maintenance into a proactive and predictive approach. You will learn how to identify faults before they occur, optimise inventory management and improve the energy efficiency of your facilities.
Don't miss this opportunity to explore an innovative technology that optimises the performance of your equipment while reducing costs and downtime!
Practical information
10:45 Welcome to the BEMAS online platform
11:00 Start of presentation
12:00 Conclusion and Q&A
About the speaker
Dr. Nicolas Verbeek specialises in analysing three-phase electrical signals to extract valuable information for energy optimisation and machine fault diagnosis. He is co-founder and CTO of Insens, a Belgian company that provides predictive maintenance and energy optimisation solutions for industrial machines based on electrical signal analysis. He holds a PhD in Electromechanical Engineering, focusing on the design and optimisation of electric motors, obtained in 2023 at UCLouvain.
Participation
- Free for employees of companies that are members of BEMAS
- Free for guests of Insens
- €35 per person, excluding VAT, for non-members
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