From Free-Text Repair Action Messages to Automated Case Generation

AI in Equipment Maintenance and Support

Volume

Papers from the 1999 AAAI Spring Symposium

Contents

Free-text problem description messages and repair action messages, which are written down in airplanes log books by pilots and technicians, contain very valuable information about problem symptoms, the pieces of equipment involved in the repair and the actions performed on them, and the results of those actions. This information could be used by a diagnostic system to provide suggestions about the nature of the problem and the proper repair actions. We use natural language analysis and interpretation techniques to extract that information from the messages with an aim at using it to generate automatically new cases for the case- base reasoning performed by the IDS system developed at the National Research Council of Canada and running at Air Canada.