What is it about?
For diagnosis and predictive maintenance of mechatronic systems, monitoring of bearings is essential. An important building block is the determination of journal bearing friction conditions. This paper deals with the possibility of monitoring different journal bearing friction states, such as mixed and fluid friction, and examines a new approach to distinguish between different friction intensities under several speed and load combinations based on acoustic emission (AE) feature extraction and feature selection.
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Why is it important?
It is possible to differentiate between mixed and fluid friction states with pattern recognition methods and tto differentiate between different mixed friction intensities.
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This page is a summary of: Differentiation of journal bearing friction states and friction intensities based on feature extraction methods applied on acoustic emission signals, tm - Technisches Messen, September 2017, De Gruyter,
DOI: 10.1515/teme-2017-0030.
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