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The training effects of principle knowledge on fault diagnosis performance
Author(s) -
Ham DongHan,
Yoon Wan Chul
Publication year - 2007
Publication title -
human factors and ergonomics in manufacturing and service industries
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.408
H-Index - 39
eISSN - 1520-6564
pISSN - 1090-8471
DOI - 10.1002/hfm.20074
Subject(s) - fault (geology) , computer science , context (archaeology) , artificial intelligence , knowledge management , seismology , biology , geology , paleontology
In regard to the effectiveness of types of knowledge on fault diagnosis performance, many experimental studies showed that training with procedural knowledge (diagnostic rules) is very effective to enhance diagnosis performance. But the effects of training with principle knowledge (theoretical knowledge) have been controversial. Some studies went so far as to claim that principle knowledge is not useful for diagnosis. However, common experience suggests that understanding the principles of system dynamics is valuable in certain diagnostic situations. In this study, we conducted an experiment to investigate the value of principle knowledge in various fault situations. A context‐free digital logic circuit including 41 gates of three basic types was simulated for the subjects to diagnose. The experimental results showed that instructing principle knowledge has positive effects that are dependent on the complexity of diagnostic problems. The observations also provide insights on how fault diagnosis benefits from principle knowledge. © 2007 Wiley Periodicals, Inc. Hum Factors Man 17: 263–282, 2007.