Design of a remote diagnosis system for rotating machinery using virtual reality and fuzzy pattern matching

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.