It is time to put smarter manufacturing into production. An increase in the data and sensors available to the manufacturing industry has made it much easier to gather data on manufacturing efficiency through the internet of things. However, IoT systems tend to look at sensors at an individual level, which limits the ability to forecast anomalies across a manufacturing operation, as each sensor can measure only a specific part of the operation. To address this issue, a team of researchers has created a framework for system-level anomaly prediction in manufacturing.
Imported from the CTE archive to seed discussion on MFGAxis.
Originally published on CTE: 2019-01-22
CTE source: https://ctemag.com/news/manufacturing-intelligence-framework-system-level-anomaly-prediction/
Legacy path: /manufacturing-intelligence-framework-system-level-anomaly-prediction