Abstract

This paper introduces an integrated methodology to remotely monitor and diagnose distant machines by a robot hand. Using a virtual reality environment and a teleoperation system, the vibration data are collected from different checking points. In order to pinpoint the faults, the collected data are analyzed and then using a fuzzy system the parameters of the system are estimated. Several examples of failure diagnosis verify the system efficiency.

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 call

Disclaimer: 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.