It is important to estimate the stiffness of bearing oil films non-destructively during operation. This study aims to identify the stiffness of the bearing oil film using Acoustic Emission (AE) signals and a particle filter. The relationships between bearing load and oil film stiffness, as well as between AE signal intensity and oil film thickness, are modeled using parametric observation equations. A generalized state estimation problem is then formulated and numerically solved using a particle filter. To demonstrate the effectiveness of the proposed method, the stiffness parameter is estimated from simulated bearing load data.
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Momoko Koizumi
Norihiko HANA
Kenji AMAYA
Keisan Rikigaku Koenkai koen ronbunshu/Keisan Rikigaku Kouenkai kouen rombunshuu
Mitsubishi Electric (United States)
Shanghai Institute for Science of Science
Institute of Science Tokyo
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Koizumi et al. (Wed,) studied this question.
www.synapsesocial.com/papers/69c4cc85fdc3bde448917dcd — DOI: https://doi.org/10.1299/jsmecmd.2025.38.os19-8