About this document

Deep Learning for Machine Health Monitoring by STEMM 2022 is a document available to read on EtoBox.

This document discusses using deep learning techniques like convolutional neural networks (CNNs) for machine health monitoring using infrared thermal (IRT) video. Specifically: 1) Current machine health monitoring requires experts to engineer features from sensor data, but deep learning can automatically learn features without domain expertise. 2) The authors apply CNNs to IRT video from two machine health monitoring applications - fault detection and oil level prediction - achieving 95% and 91.67% accur

Author

STEMM 2022

Language

EN