The training effects of principle knowledge on fault diagnosis performance.
Article
Ham, D., Han, B. and Yoon, W. 2007. The training effects of principle knowledge on fault diagnosis performance. Human Factors and Ergonomics in Manufacturing.. 17 (3), pp. 263-282. https://doi.org/10.1002/hfm.20074
Type | Article |
---|---|
Title | The training effects of principle knowledge on fault diagnosis performance. |
Authors | Ham, D., Han, B. and Yoon, W. |
Abstract | 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). |
Publisher | John Wiley and Sons Ltd., Chichester, UK |
Journal | Human Factors and Ergonomics in Manufacturing. |
ISSN | 1090-8471 |
Publication dates | |
01 May 2007 | |
Publication process dates | |
Deposited | 21 Oct 2008 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1002/hfm.20074 |
Language | English |
Permalink -
https://repository.mdx.ac.uk/item/80v8w
41
total views0
total downloads1
views this month0
downloads this month