Model-Free Data Mining of Families of Rotating Machinery

Model-Free Data Mining of Families of Rotating Machinery

Machines designed to perform the same tasks using different technologies can be organized into families based on their similarities or differences. We are interested in identifying common properties and differences of such machines from raw sensor data for analysis and fault diagnostics. The usual f...

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Bibliografiske detaljer
Main Authors: Elizabeth Hofer, Martin v. Mohrenschildt
Format: Article
Sprog:English
Udgivet: MDPI AG 2022-03-01
Serier:Applied Sciences
Fag:
rotating machines
feature extraction
feature reduction
unsupervised learning
hierarchical clustering
entropy
Online adgang:https://www.mdpi.com/2076-3417/12/6/3178

Internet

https://www.mdpi.com/2076-3417/12/6/3178

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