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This paper presents an intelligent methodology for diagnosing incipient defects of rotating machines and is focused on monitoring the vibrations of an asynchronous motor. Monitoring of industrial plant operation parameters requires the acquisition of many electrical and non-electric parameters, parameters that can be monitored with powerful software. The technical state of operation of an industrial machine can be judged based on the symptoms it exhibits during operation, in our case the vibrations. Vibration analysis that occurs during engine operation may indicate electrical defects, such as broken rotor blades, unbalanced stator circuits, eccentric rotors and stators, loose power connections. There are mechanical defects and electrical faults in the vibration spectrum. A web application has been created to facilitate the interpretation of the linear spectrum resulting from the vibration monitoring of an asynchronous motor and to be accessible to any user. There was developed an application with Microsoft Silverlight, a software platform that allows us to display advanced multimedia content from a web browser. The spectrum reproduced by the application is simple, precisely to be accessible to everyone and to know very easily whether the machine is working correctly or not.

A methodology for intelligent monitoring the vibrations of an asynchronous motor