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