Industrial Transfer Learning for Multivariate Time Series Segmentation: A Case Study on Hydraulic Pump Testing Cycles

Industrial Transfer Learning for Multivariate Time Series Segmentation: A Case Study on Hydraulic Pump Testing Cycles

Industrial data scarcity is one of the largest factors holding back the widespread use of machine learning in manufacturing. To overcome this problem, the concept of transfer learning was developed and has received much attention in recent industrial research. This paper focuses on the problem of ti...

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Bibliographic Details
Main Authors: Stefan Gaugel, Manfred Reichert
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Sensors
Subjects:
time series segmentation
deep learning
multivariate time series
transfer learning
end-of-line testing
Online Access:https://www.mdpi.com/1424-8220/23/7/3636

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