印刷電路板（PCB）可測試性訊號分析研究

Analysis of the Testability Signal ofPrinted Circuit Board

徐仲彥(Jong-Yann Shyu) ； 陳昭宏(Chao-Hung Chen)

《永達學報》 8卷2期 (2007/12) Pp. 110-119

摘要

對於航電系統中，印刷電路板（Print circuit board）具有高單價及需要高度可靠性的特性，這些電子電路板使用一段時間後必須有定期檢查的需要，如果電路板損壞最符合經濟效應的原則是，進行故障分析測試，並且更換損壞元件，在廠級能量的單位必須負責修妥高單價的電子電路板，一般來說，對於未知電路或無修理經驗的工程師來說，無非是一場噩夢，反之，自動化測試則大可幫助電子電路工程師，解決未知電路及故障元件，即利用類神經網路特性，判斷電子電路元件。

關鍵字

印刷電路板 ； 電子電路 ； 類神經網路

並列摘要

Print Circuit Board (PCB) is a basic and important element for electronic aircraft system. Considering aviation safety, it is necessary to regularly evaluate the PCB to ensure the system stably and reliably. The best solution is to exchange a new PCB when system has any error, but it is hard to do due to the economic problem of the high cost. Since we cannot replace the PCB arbitrarily, we endeavor to find the failure unit and try to repair it. That is a challenge to find the problem for the professional and senior electrical engineer. According to this situation, we hope to design an automatic system to support PCB checking for general engineer. However, checking the PCB is a recognizing technology, it is similar to construct a software agent for electrical system. In order to construct a recognizing system for PCB checking, it is a flexible way to adopt the neural network technique to design that automatic system. In this paper, we propose an automatic system to support PCB testing and checking with neural network. Finally, we have shown some recognition examples to demonstrate the feasibility of our proposed system.

並列關鍵字

Printed circuit board ； Electronic circuit ； Neural networks