Getting started with Predictive maintenance and Condition monitoring in the manufacturing industry of the Northern Netherlands
Activity
Getting started with Predictive maintenance and Condition monitoring in the manufacturing industry of the Northern Netherlands
On Thursday, May 23, the Innovation Cluster Drachten, in collaboration with the Dutch AI Coalition and FME, is organizing a meeting about the application of Condition monitoring and Predictive maintenance in the manufacturing industry of the Northern Netherlands. Speakers from various companies in our region take us through practical cases, their results and the challenges of implementation. In a panel discussion we will then discuss in more detail where we stand with this promising application of data and Artificial Intelligence (AI) and how we as a Northern region can take the next steps together. The event will end with a networking drink.
One of the most promising applications of data and AI in the manufacturing industry is Condition monitoring and Predictive maintenance. You do not perform preventive maintenance at fixed time intervals, but based on data and AI-based insights and predictions. The potential impact of this form of 'smart maintenance' in the manufacturing industry is great. After all, downtime is expensive and risky, there is a shortage of technically trained personnel and we can thus contribute to sustainability.
But how do you implement Condition monitoring and Predictive maintenance in your production processes and with your assets, how do you get the most out of the available data and what does it mean for your employees? We will answer these and other questions during the interactive program of this event.
Accessible for ICD Mini symposium
Program:
1:00 PM – 1:30 PM Reception with coffee/tea
1:30 PM – 2:30 PM Presentations:
- Navigating Predictive Maintenance for Operational Excellence – by Daniel Caljouw, Interim group lead Maintenance and Production Engineering at Philips and Thanasis Naskos, Chief Innovation Officer at Atlantis
In this presentation, Daniel Caljouw and Thanasis Naskos delve into the realm of predictive maintenance, offering practical examples and valuable lessons learned from the collaborative efforts of Philips and Atlantis. Discover how their close partnership has driven technological advancements, tackled challenges, and optimized predictive maintenance solutions to meet the diverse needs of modern industries. Gain valuable insights into overcoming obstacles, enhancing data quality, and maximizing analysis results to elevate maintenance practices and drive operational excellence.
- Bright ideas. Better glass – by Sjoerd van der Zwaan, Chief Technology Officer at Xpar Vision
Sjoerd van der Zwaan talks about how artificial intelligence helps Xpar Vision customers to produce more efficiently and improve their quality. Xpar Vision has its own digital roadmap for this, in which AI occupies an important strategic place.
2:30 PM – 2:45 PM Short break
2:45 PM – 3:45 PM Presentations:
- On the way to 0-unplanned downtime - by Mark Peters, Innovation Accelerator Smart Industry at IJssel Technology
In an inspiring story with practical examples, Mark Peters, Smart Industry Innovation Accelerator at IJssel Technology, takes you into the world of Online Monitoring & Predictive Maintenance. How do you use the enablers of the 4th industrial revolution: Smart sensors, Digitalization, Connectivity and Artificial Intelligence on the way to 0-unplanned downtime? What steps are taken from ambition to results and which disciplines are required? And how does the world of the maintenance specialist in the field and the maintenance specialist in the cloud change?
- Monitoring and diagnosing the LOFAR telescope system health – by Sarod Yatawatta, System researcher in signal processing, optimization and machine learning at Astron
Sarod Yatawatta will discuss how AI can be used to monitor the hardware and software used in the LOFAR radio telescope system. Astron can use AI to isolate problems such as hardware failure and external interference and also to predict the quality of the end result (observed data) under such situations.
3:45 PM – 4:15 PM Network break
4:15 PM – 5:00 PM Panel discussion:
We will discuss with the speakers, other experts in this field and the participants in the room about where we currently stand with Condition Monitoring and Predictive Maintenance in the manufacturing industry in the Northern Netherlands. What works and what doesn't, what are the challenges and what does this mean for our organizations, employees and students. And also: what can we do together to take the next step as a manufacturing industry in the Northern Netherlands region, in implementation and upscaling. Participants on the panel are:
- Daniel Caljouw – Interim group lead Maintenance and Production Engineering at Philips
- Thanasis Naskos – Chief Innovation Officer at Atlantis
- Sjoerd van der Zwaan – Chief Technology Officer at Xpar Vision
- Mark Peters – Innovation Accelerator Smart Industry at IJssel Technology
- Sarod Yatawatta – System researcher in signal processing, optimization and machine learning at Astron
- Klaas Dijkstra – Lecturer in computer vision and data science at NHL Stenden
- Hendrik Jan Hoekstra – Senior policy advisor at Firda
5:00 PM – 5:30 PM Closing and networking drinks
5:30 PM End of event
