Self-adjusting diagnostic system for the manufacture of crystal resonators

Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting Pub Date : 1993-10-02 DOI:10.1109/IAS.1993.299139

B.H. Gwee, M. Lim, B.H. Soong

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引用次数: 9

Abstract

A self-adjusting diagnostic system for monitoring the frequency trimming process is described. The SAFUDS (self-adjusting fuzzy diagnostic system) is capable of adjusting its knowledge to the changes with two incorporated neural networks serving as a convenient online process monitoring system. The development of the SAFUDS not only fulfills the requirement of automating the diagnostics of the trimming process, but it also demonstrates the advantage of fuzzy logic over conventional logic in implementing the system. The use of fuzzy logic avoids the rigidity of conventional reasoning where it is difficult to process information that is definite or imprecise. One of the major advantages of the fuzzy monitoring strategy lies in the intelligibility and flexibility by which the process condition and control actions can be described directly from the experience and advice of an expert. With fuzzy logic, the system is able to heuristically interpret the condition of the process, like human operators. After the diagnostic system had been implemented for six months, the production yield rate of the frequency trimming process improved from 85% to 95%. During the implementation of the system, the knowledge of the production engineer as well as of the operators regarding the process improved.<>

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用于晶体谐振器制造的自调整诊断系统

介绍了一种用于监测频率微调过程的自调节诊断系统。SAFUDS(自调整模糊诊断系统)能够根据变化调整其知识，并结合两个神经网络作为一个方便的在线过程监测系统。该系统的开发不仅满足了修整过程诊断自动化的要求，而且在系统实现中也体现了模糊逻辑相对于传统逻辑的优势。模糊逻辑的使用避免了传统推理的僵化，传统推理难以处理明确或不精确的信息。模糊监控策略的主要优点之一在于其可理解性和灵活性，可以根据专家的经验和建议直接描述过程状态和控制动作。通过模糊逻辑，系统能够像人类操作员一样启发式地解释过程的条件。该诊断系统运行6个月后，频率修整工艺的生产成品率由85%提高到95%。在系统的实施过程中，生产工程师和操作人员对工艺的了解得到了提高。

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Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting

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