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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Bibliografski detalji
Glavni autori: Elizabeth Hofer, Martin v. Mohrenschildt
Format: Članak
Jezik:English
Izdano: MDPI AG 2022-03-01
Serija:Applied Sciences
Teme:
rotating machines
feature extraction
feature reduction
unsupervised learning
hierarchical clustering
entropy
Online pristup:https://www.mdpi.com/2076-3417/12/6/3178

Internet

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

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