Predictive maintenance for charging infrastructure- with Stefan Lerbs

Welcome to the Trend Detection podcast, brought to you by Senseye
Predictive Maintenance – the platform which enables predictive
maintenance at scale across all of your assets, across all of your
plants. For this session, we discussed the topic ofPredictive
maintenance for charging infrastructure- with Stefan Lerbs.Key
takeaways:Focus on Data Analysis and Condition-Based
Maintenance:Exploring the role of advanced data analysis and
maintenance strategies.Emphasis on maximizing uptime for electric
vehicle charging stations.Real-Time Insights for Preventive
Maintenance:Use of real-time data to identify potential issues
before they escalate.Ensures seamless operations and minimizes
downtime.Impact on Electric Bus and Truck Fleets:Importance of
these strategies for maintaining efficient charging
infrastructure.Specific focus on electric buses and trucks.Future
of Smart, Efficient Charging Infrastructure:Discussion on the
broader implications for the future of EV charging.Highlighting the
episode as essential for those interested in advanced charging
solutions.Please subscribe via your selected podcast provider to be
notified about future episodes.You can find out more about how
Senseye Predictive Maintenance can reduce unplanned downtime and
contribute towards improved sustainability within your
manufacturing plants, by visiting:
www.siemens.com/senseye-predictive-maintenance