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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Hlavní autoři: Elizabeth Hofer, Martin v. Mohrenschildt
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-03-01
Edice:Applied Sciences
Témata:
rotating machines
feature extraction
feature reduction
unsupervised learning
hierarchical clustering
entropy
On-line přístup:https://www.mdpi.com/2076-3417/12/6/3178

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

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