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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Elizabeth Hofer, Martin v. Mohrenschildt
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2022-03-01
Sarja:Applied Sciences
Aiheet:
rotating machines
feature extraction
feature reduction
unsupervised learning
hierarchical clustering
entropy
Linkit:https://www.mdpi.com/2076-3417/12/6/3178

Internet

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

Samankaltaisia teoksia