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Fault Train Construction Based on Shallow Reasoning Strategy  

Bae, Yong-Hwan (Department of Mechanical Education, Andong National University)
Publication Information
Journal of the Korean Society of Safety / v.20, no.3, 2005 , pp. 19-26 More about this Journal
Abstract
There are three reasoning method in fault diagnosis process. The shallow reasoning is based on the experiential knowledge and deep reasoning is based on physical model. Hybrid reasoning is mixing two type reasoning. This study describes about fault train embodiment of screw type air compressor that is used widely in industrial facilities by using various experimental method and shallow reasoning. We investigate macroscopic failure cause of air compressor through naked eye observation and then microscopic failure cause by various experimental method. We composed fault train with fault knowledge based on empirical data and scientific data that is acquired through several experiments. It is possible to analysis system reliability and failure rate with these fault train.
Keywords
FTA; diagnostic method; shallow reasoning; deep reasoning; hybrid reasoning; fault train; reliability analysis;
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