Efficient Feature Learning Approach for Raw Industrial Vibration Data Using Two-Stage Learning Framework

Efficient Feature Learning Approach for Raw Industrial Vibration Data Using Two-Stage Learning Framework

In the last decades, data-driven methods have gained great popularity in the industry, supported by state-of-the-art advancements in machine learning. These methods require a large quantity of labeled data, which is difficult to obtain and mostly costly and challenging. To address these challenges,...

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Bibliographic Details
Main Authors: Mohamed-Ali Tnani, Paul Subarnaduti, Klaus Diepold
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
feature learning
CNC machining
machine monitoring
machine learning
few-shot learning
vibration data
Online Access:https://www.mdpi.com/1424-8220/22/13/4813

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https://www.mdpi.com/1424-8220/22/13/4813

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