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Dynamic Modeling and Sound (Noise) Diagnostics of Robot Gearboxes for Fault Assessments

Fulltext:


Authors:

Ella Olsson, Rostyslav Stolyarchuk

Research group:

Artificial Intelligence and Intelligent Systems

Publication Type:

Conference/Workshop Paper

Venue:

Proceedings of SIMS 2005 - Scandinavian Conference on Simulation and Modeling

Abstract

Some gear faults in industrial robots can during operation be recognized as abnormal noise peaks coming from the gearbox. A library of such recordings has been assembled in order to automate fault diagnosis of the robots. A computer records sound from the gearbox and compare the new recordings with recordings stored in the library. The result of the comparison is a diagnosis of the condition of the robot. This paper proposes an extension of the sound library by incorporating model based reasoning. A dynamic model of the gearbox in the drive system has been constructed and gear vibrations on the force level are extracted from the model. These vibrations are projected onto the sound recordings with a statistical vibration diagnostic parameter known as the Crest Factor CF.

Bibtex

@inproceedings{Olsson1081,
author = {Ella Olsson and Rostyslav Stolyarchuk},
title = {Dynamic Modeling and Sound (Noise) Diagnostics of Robot Gearboxes for Fault Assessments},
month = {October},
year = {2005},
booktitle = {Proceedings of SIMS 2005 - Scandinavian Conference on Simulation and Modeling},
url = {http://www.es.mdu.se/publications/1081-}
}