Condition Monitoring of Roller Chains Based on Correlation Functions and Clustering
Konferenz: Antriebssysteme 2017 - 7. VDE/VDI-Fachtagung
22.11.2017 - 23.11.2017 in Karlsruhe, Deutschland
Tagungsband: Antriebssysteme 2017
Seiten: 6Sprache: EnglischTyp: PDF
Persönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Autoren:
Kaercher, Thomas; Schullerus, Gernot (Reutlingen University, Reutlingen, Germany)
Inhalt:
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.