Machine Intelligence for ATe Equipment Maintenance
نویسنده
چکیده
II The normal duties of-ATC equipment maintenance are to observe performance indicators and measurements, infer &om these data whether the equipment is in good health, and, if a problem is found, diagnose its cause and perform the necessary repairs. Machine intelligence (MI) technology offers a means for automating much of this work load. Indeed, Lincoln Laboratory has developed and fielded several expert systems for similar applications involving the maintenance and control of military communications systems. This article describes three such expert systems, and then discusses opportunities for MI to automate the monitoring and maintenance ofATC equipment. A high-level design of an MI approach to the remote maintenance monitoring of the ASR-9 airport surveillance radar is presented, along with conceptual descriptions of other MI applications for the Federal Aviation Administration (FAA).
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