On Training Data Selection in Condition Monitoring Applications—Case Azimuth Thrusters

Machine learning techniques are commonly used in the vibration-based condition monitoring of rotating machines. However, few research studies have focused on model training from a practical viewpoint, namely, how to select representative training samples and operating areas for monitoring applicatio...

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Bibliographic Details
Main Authors: Riku-Pekka Nikula, Mika Ruusunen, Stephan André Böhme
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/8/4024