Abstract
Industrial robot gear condition monitoring has the potential to increase the productivity of highly automated production lines. In order to implement an effective condition monitoring system, data must be collected which correlates with the robot gear’s state of health. The sensor choice and the characteristics of these sensors are crucial to the success of a condition monitoring system. Hence, we compare current and vibration sensor data from different accelerated robot gear wear tests in different frequency ranges to determine a suitable sensor setup. In the presented experiments, both data sources detect faults at a similar point in time and the variation of the frequency ranges has different effects on the data quality.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
