The training effects of principle knowledge on fault diagnosis performance.
Ham, Dong-Han and Han, B. T. and Yoon, Wan Chul (2007) The training effects of principle knowledge on fault diagnosis performance. Human Factors and Ergonomics in Manufacturing., 17 (3). pp. 263-282. ISSN 1090-8471
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This study examined the characteristics of two types of knowledge (principle knowledge and procedural knowledge) that human operators use to diagnose faults, in terms of their effectiveness on task performance. The study is unique in that it attempts to connect the theories of AI (particularly, model-based reasoning) to human performance engineering. Although very recent, the findings of this work have already been used by LG Electronics in the development of an expert system for diagnosing faults in CRTs (cathode-ray tubes).
|Research Areas:||A. > School of Science and Technology > Computer Science|
|Depositing User:||Repository team|
|Date Deposited:||21 Oct 2008 15:46|
|Last Modified:||07 Dec 2015 18:53|
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