Convolutional-Based Encoder–Decoder Network for Time Series Anomaly Detection during the Milling of 16MnCr5

Convolutional-Based Encoder–Decoder Network for Time Series Anomaly Detection during the Milling of 16MnCr5

Machine learning methods have widely been applied to detect anomalies in machine and cutting tool behavior during lathe or milling. However, detecting anomalies in the workpiece itself have not received the same attention by researchers. In this article, the authors present a publicly available mult...

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Bibliographic Details
Main Authors: Tobias Schlagenhauf, Jan Wolf, Alexander Puchta
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Data
Subjects:
time series
machine learning
anomaly detection
transfer learning
Online Access:https://www.mdpi.com/2306-5729/7/12/175

Internet

https://www.mdpi.com/2306-5729/7/12/175

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