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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser:	Elizabeth Hofer, Martin v. Mohrenschildt
Format:	Artikel
Sprache:	English
Veröffentlicht:	MDPI AG 2022-03-01
Schriftenreihe:	Applied Sciences
Schlagworte:	rotating machines feature extraction feature reduction unsupervised learning hierarchical clustering entropy
Online Zugang:	https://www.mdpi.com/2076-3417/12/6/3178

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