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Correlation-based condition monitoring of a roller chain

  • Condition Monitoring for mechanical systems like bearings or transmissions is often done by analysing frequency spectra obtained from accelerometers mounted to the components under observation. Although this approach gives a high amount on information about the system behaviour, the interpretation of the resulting spectra requires expert knowledge, that is, a deep understanding of the effect on condition deterioration on the measured spectra. However, an increasing number of condition monitoring applications demands other representations of the measured signals that can be easily interpreted even by non–experts. Therefore, the objective of this paper is to develop an approach for processing measured process data in order to obtain an easy to interpret measure for assessing the component condition. The main idea is to evaluate the deterioration of a component condition by computing the correlation function of current measurements with past measurements in order to detect a component condition deterioration from a change in these correlation functions. Besides the simplicity of the obtained measure, this approach opens the opportunity for integrating a model based approach as well. The developed method is tested based on a condition monitoring application in a roller chain.

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Author of HS ReutlingenKärcher, Thomas; Schullerus, Gernot
Erschienen in:First World Congress on Condition Monitoring, ILEC Conference Centre, London, 13-16 June, 2017
Publisher:British Institute of Non-Destructive Testing
Place of publication:Northampton
Document Type:Conference proceeding
Publication year:2017
Tag:condition monitoring; correlation; monitoring; residual; signal processing
Page Number:14
First Page:1
Last Page:14
PPN:Im Katalog der Hochschule Reutlingen ansehen
DDC classes:621 Angewandte Physik
Open access?:Nein