Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery

Volume: 32, Issue: 2, Pages: 393 - 406
Published: May 9, 2020
Abstract
The application of cutting-edge technologies such as AI, smart sensors, and IoT in factories is revolutionizing the manufacturing industry. This emerging trend, so called smart manufacturing, is a collection of various technologies that support decision-making in real-time in the presence of changing conditions in manufacturing activities; this may advance manufacturing competitiveness and sustainability. As a factory becomes highly automated,...
Paper Details
Title
Development of a speed invariant deep learning model with application to condition monitoring of rotating machinery
Published Date
May 9, 2020
Volume
32
Issue
2
Pages
393 - 406
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