Method for On-Line Remaining Useful Life and Wear Prediction for Adjustable Journal Bearings Utilizing a Combination of Physics-Based and Data-Driven Models: A Numerical Investigation

Method for On-Line Remaining Useful Life and Wear Prediction for Adjustable Journal Bearings Utilizing a Combination of Physics-Based and Data-Driven Models: A Numerical Investigation

RUL (remaining useful life) estimation is one of the main functions of the predictive analytics systems for rotary machines. Data-driven models based on large amounts of multisensory measurements data are usually utilized for this purpose. The use of adjustable bearings, on the one hand, improves a...

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Bibliographic Details
Main Authors: Denis Shutin, Maxim Bondarenko, Roman Polyakov, Ivan Stebakov, Leonid Savin
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Lubricants
Subjects:
adjustable journal bearing
traction motor axle bearings
wear
RUL prediction
hydrodynamic lubrication
Archard’s wear model
Online Access:https://www.mdpi.com/2075-4442/11/1/33

Internet

https://www.mdpi.com/2075-4442/11/1/33

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