The training effects of principle knowledge on fault diagnosis performance.

Ham, Dong-Han ORCID: https://orcid.org/0000-0003-2908-057X, 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 [Article] (doi:10.1002/hfm.20074)

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).

Actions (login required)

View Item

Statistics

DownloadsShow export options

Export as CSVXMLJSON

Activity Overview

6 month trend

0Downloads

6 month trend

475Hits

Additional statistics are available via IRStats2.