AI infused Predictive Maintenance made simple
All industrial companies have automation systems in place that monitor and control their processes.
Most are under utilising the data that is locked up in PLC, DCS & SCADA Systems.
The objective of this webinar is to show how to exploit that data to improve asset maintenance.
We will explore how to use plant floor data to:
- Power AI infused predictive maintenance and apply condition-based maintenance rules
- Empower your maintenance team with a plant floor connected EAM (Enterprise Asset Management) system
AI infused predictive maintenance is a powerful tool that can save companies time, money, and resources. By leveraging automation systems & IoT, businesses can collect and analyse data to predict equipment failures before they happen.
Linking AI with EAM is crucial for organisations to efficiently manage assets. This synergy results in optimised asset performance, reduced downtime, and enhanced operational efficiency, driving tangible business success.
Learning Outcomes:
- Understand the concept of AI infused Predictive Maintenance, its benefits, and its importance in today's industries.
- Best practice architectures to integrate PLC, DCS, SCADA, IoT and EAM in supporting proactive maintenance
- How to configure an AI system to generate alerts and connect the output to an EAM system
- Discover why an EAM (Enterprise Asset Management) system is an essential part of a holistic maintenance strategy.
- How to get started with improving asset maintenance
