Extruder Machine Gear Fault Detection Using Autoencoder LSTM via Sensor Fusion Approach

Extruder Machine Gear Fault Detection Using Autoencoder LSTM via Sensor Fusion Approach

In industrial settings, gears play a crucial role by assisting various machinery functions such as speed control, torque manipulation, and altering motion direction. The malfunction or failure of these gear components can have serious repercussions, resulting in production halts and financial losses...

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Bibliographic Details
Main Authors: Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Inventions
Subjects:
anomaly detection
autoencoder
long short-term memory
deep learning
discrete wavelet transform
feature extraction
Online Access:https://www.mdpi.com/2411-5134/8/6/140

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https://www.mdpi.com/2411-5134/8/6/140

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