基于案例推理的硬盘故障分析知识管理系统

Parinya Wichawong, P. Chongstitvatana
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引用次数: 5

摘要

硬盘故障是影响产品质量和客户信誉的严重问题。所有硬盘驱动器公司都需要意识到并解决如何摆脱故障并防止问题在其产品中重复出现。故障分析过程的质量取决于最有经验的人。如果公司没有经验丰富的人来进行分析,效率就会降低。知识管理系统可以存储经验丰富的工程师的知识。它可以帮助新工程师学习这门手艺。这将减少知识差距问题,提高故障解决过程的效率。提出了一种基于案例推理的硬盘故障分析知识管理系统的设计与实现。存储现有案例,并将新案例与现有案例进行比较,以便检索相关的现有知识以帮助分析。一旦解决了新的案件,它可以被存储起来,以帮助未来的案件。系统的原型实现和用户满意度评估表明,该系统可以有效地改进故障分析过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge management system for failure analysis in hard disk using case-based reasoning
Hard disk failure is a serious problem in term of product quality and credibility to customers. All hard disk drive companies need to be aware and address how to get rid of failure and prevent the repeat of the problem in their products. The quality of failure analysis process depends on the person who has most experience. It would not be so efficient if the company has no experienced person to perform the analysis. A knowledge management system can store the knowledge of experienced engineers. It can help new engineers to learn the craft. It would reduce a knowledge gap issues and bring up efficiency for failure solving process. This paper presents a design and implementation of knowledge management system for failure analysis in hard disk with case-based reasoning. The existing cases are stored and a new case can be compared to the existing one in order to retrieve the relevant existing knowledge to help the analysis. Once the new case is solved, it can be stored to aid the future cases. A prototype of the system has been implemented and the assessment of user satisfaction shows that it can improve the failure analysis process effectively.
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