Condition Monitoring of Roller Chains Based on Correlation Functions and Clustering

Conference: Antriebssysteme 2017 - 7. VDE/VDI-Fachtagung
11/22/2017 - 11/23/2017 at Karlsruhe, Deutschland

Proceedings: ETG-Fb. 154: Antriebssysteme 2017

Pages: 6Language: englishTyp: PDF

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Authors:
Kaercher, Thomas; Schullerus, Gernot (Reutlingen University, Reutlingen, Germany)

Abstract:
This paper describes a new method for condition monitoring of a roller chain. In contrast to conventional methods, no additional accelerometers are used to measure and interpret frequency spectra but the chain condition is evaluated using an easy to interpret similarity measure based on correlation functions using the driving motor torque. An additional clustering of current data and reference measurements yields an easy to understand representation of the chain condition.