Data-driven vibration-based bearing fault diagnosis using non-steady-state training data

<p>This paper presents the extension of an empirical study in which a universally applicable fault diagnosis method is used to analyse vibration data of bearings measured with accelerometers. The motivation for extending the previously published results was to provide a profound analysis of th...

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Bibliographic Details
Main Authors: K. Pichler, T. Ooijevaar, C. Hesch, C. Kastl, F. Hammer
Format: Article
Language:English
Published: Copernicus Publications 2020-05-01
Series:Journal of Sensors and Sensor Systems
Online Access:https://www.j-sens-sens-syst.net/9/143/2020/jsss-9-143-2020.pdf