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知識結構在故障診斷維修之專家系統的應用-以台灣機車產業的技術維修員為例
Thesis

知識結構在故障診斷維修之專家系統的應用-以台灣機車產業的技術維修員為例

周裕發
Masters, National Tsing Hua University
2004

Abstract

知識結構專家系統人機介面教育訓練 Knowledge StructureFault Diagnosis Assistance System (FDAS)Human-Computer InterfaceEducational Training
Today, Taiwan motorcycle is the third major exporting country and has better competition than other countries in a kind of under 150c.c motorcycle. According to the statistics of the ministry of transportation and communications, there are 12,366,864 motorcycles in Taiwan. Though Taiwan motorcycle’s density is the highest in the world, the motorcycle maintenance knowledge is not at the same level. Accordingly, the government has advanced motorcycle technique test since 2001 to promote motorcycle maintenance knowledge and service level for consumers.This study proposes a fault diagnosis assistance system(FDAS) that applied in the motorcycle maintenance. An expert’s knowledge structure was measured, to construct a knowledge base that derived from expert’s wonderful experience and knowledge and then to build a friendly human-computer interface. This study also examined the knowledge structures of a novice group and an expert group by using knowledge network organizing tool. The similarities between novice’s and expert’s networks are assessed using the indices PRX, GTD, and PFC.The results indicate that the knowledge structure of the using FDAS group is better than that of the using manual group. Additionally, the usability test confirms the well-used system interface. It also proved the evidence that the novice’s knowledge structure is changed better after using FDAS. It can, of course, serve as an educational training tool for maintainers and shorten learning time effectively and also make up for the shortage of Taiwan motorcycle’s maintainers.

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