Detection of Lubrication Condition in Hydrodynamic Journal Bearings Based on Dynamic Experimentation Using Acoustic Emission and Machine Learning

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Richard Heinlein, Markus Grebe, Christoph A. Herrmann

DOI: 10.2139/ssrn.6435942

Cited by: 1

References: 20

Fields of Study & Subjects

Machine Fault Diagnosis Techniques Tribology and Lubrication Engineering Gear and Bearing Dynamics Analysis

References 20