The manufacturing sector is envisioned to soon be heavily influenced by artificial intelligence-based technologies with the extraordinary increases in computational power and data volumes. Data-driven methods use sensor data, such as vibration, pressure, temperature, and energy data to extract useful features for diagnosis and prediction. A central challenge in the manufacturing sector lies in the requirement of a general framework to ensure satisfied diagnosis and monitoring performances in different manufacturing applications.
from News on Artificial Intelligence and Machine Learning https://ift.tt/2GZ7bV0
Home
machine-learning-ai-news
News on Artificial Intelligence and Machine Learning
An end-to-end general framework for automatic diagnosis of manufacturing systems
- Blogger Comment
- Facebook Comment
Subscribe to:
Post Comments
(
Atom
)
0 comments:
Post a Comment