The present paper describes a measurement setup and a related prediction of the electrical impedance of rolling bearings using machine learning algorithms.
The present paper describes a measurement setup and a related prediction of the electrical impedance of rolling bearings using machine learning algorithms.
Feb 18, 2022 · The present paper describes a measurement setup and a related prediction of the electrical impedance of rolling bearings using machine ...
The rolling bearing impedance is gauged using an alternating current measurement bridge. Significant changes in the vibration signals mark the end of the ...
A new Frequency Enhanced Crossformer (FEC) framework is proposed for accurately predicting vibrations during the bearing degradation stage.
Missing: Impedance | Show results with:Impedance
The present paper describes a measurement setup and a related prediction of the electrical impedance of rolling bearings using machine learning algorithms.
Jul 9, 2024 · Condition monitoring of machine elements becomes more important over the last years. Different approaches to detect failures in mechanical ...
Jul 8, 2024 · A structured overview of the state of research in the context of impedance-based condition monitoring for machine elements such as rolling ...
This article provides an overview of the most recent research and models used in the classification of bearing faults.
Missing: Impedance | Show results with:Impedance
Various methods of feature engineering are presented based on rolling–bearing endurance tests and recorded structure-borne sound signals, and the way in ...