tinyAI Forum on PdM & Anomaly Detection: Practical Application of Edge AI for Machine Condition…
Practical Application of Edge AI for Machine Condition Based Monitoring in TDK’s Industrial Manufacturing Process
Michael GAMBLE
Director Product Managememt
TDK Qeexo
Edge AI is a rapidly developing field with the potential to revolutionize industrial manufacturing. However, successful deployment of edge AI solutions in industrial environments poses unique challenges extend far beyond sensor data and model accuracy. In this talk, we will discuss the practical application of edge AI condition-based monitoring (CbM) in TDK’s industrial manufacturing processes for capacitor packaging.
Capacitor packaging is a rapid process with high throughput and stringent quality requirements. This demands wide-band sensors that can generate data at high rates and fast and accurate AI decision-making at the edge to detect and respond to machine faults in real-time. Where factory automation demands that solutions must be situated amongst a number of existing hardware and software components which control and monitor the manufacturing eco-system.
We will share our experiences and insights on how to overcome the challenges associated with AI development and deployment for industrial manufacturing environments. Our talk will cover:
The benefits of edge AI CbM for TDK’s capacitor packaging process
The challenges of deploying edge AI CbM solutions in an industrial environment
Our approach to developing and deploying edge AI solutions for TDK’s capacitor packaging process
Lessons we learned along the way
This talk is for anyone interested in the development and practical application of edge AI condition based monitoring solutions for industrial manufacturing.
source
