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.
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