InnoTalks > Industrial IoT insights. Monthly video on-demand
Edge Machine Learning for
Anomaly Detection and Predictive Maintenance
When it comes to varying tiers of maintenance strategies, reactive, preventive, and predictive maintenance are all important and have their place, but with the advent of more powerful and cost effective computing -- combined with advancements in Artificial Intelligence -- the marriage of the two has vaulted us forward into the next great era of digital transformation in manufacturing. AI coupled with predictive maintenance uses parameters from the operating conditions of equipment and intelligence from application-specific inference engines at the edge to detect anomalies, which predicate a maintenance action when needed. This new technology brings decision-making and intelligence as close to the process as possible.
In our latest Advantech InnoTalk video session, we talk in detail with Akira Denda, Sr. Director at Renesas Electronics Corporation, about the best ways to get started with machine learning and predictive maintenance, its numerous benefits, possible challenges along the way, why you need the right strategic partnerships for success, and much more.
Session Speakers
Matt Dentino
Director of IIoT AOnline Sales,
Advantech North America
Akira Denda
Senior Director,
Renesas Electronics
Ethan Huang
Senior Director of IIoT Group,
Advantech
Session Highlights
- The advent of patented endpoint Artificial Intelligence (e-AI) solution — which are trained and inference in real time using parameters and data from the actual operating condition of the equipment to pinpoint early machine anomalies — are key to bringing decision-making and intelligence as close to the process as possible.
- Partnerships amongst leading software and hardware solution providers, such as the strategic partnership between Advantech and Renesas, are paramount to helping end users successfully integrate predictive maintenance with cloud-based, real-time performance monitoring.
- Combining “skinny” (very low bandwidth) edge-based Artificial Intelligence and predictive maintenance is the next step in progress for smart factories and smart manufacturing. This gives end users the opportunity to detect equipment anomalies early and make prompt maintenance decisions.
Session Resources
Slide, case study and more insights to explore
About InnoTalks
We deliver IIoT insights
InnoTalks is an online program that brings users, field experts, and researchers together to talk about enabling successful digital transformation in industrial automation & IoT. Topics include practical solutions for OT and IT convergence, from the edge to the cloud, in order to expand and enrich the industrial IoT ecosystem.
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