Probabilistic inference in a knowledge-based quality information system for consumer electronics production

P. Zumegen
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Abstract

A quality information system (QIS) installed in a West German plant for consumer electronics production that features a number of conventional data processing capabilities and an expert system for both data interpretation and fault diagnosis is discussed. The diagnostic portion of the QIS expert system is discussed, and a detailed description of the inference algorithm, which mainly uses the approaches of semantic nets and probabilistic inference is given. The experience gained during knowledge acquisition, system realization, and system application in the industrial environment is discussed.<>
基于知识的消费电子产品质量信息系统的概率推理
本文讨论了安装在西德一家消费电子产品生产工厂的质量信息系统(QIS),该系统具有许多传统的数据处理能力和数据解释和故障诊断的专家系统。讨论了QIS专家系统的诊断部分,并详细描述了主要采用语义网和概率推理方法的推理算法。讨论了在知识获取、系统实现和系统在工业环境中的应用过程中所获得的经验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.40
自引率
0.00%
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0
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