本研究主要目的乃是利用量測振動訊號來開發一套汽車引擎瑕疵偵測系統，整個系統包含振動訊號的量測與訊號處理功能。

　　此系統是以整合美商國家儀器之量測硬體與LabVIEW此工程量測軟體而達成。在本研究的詳細內容方面，我們主要考慮到瑕疵(NG,No Good)引擎的振動行為，而這些有瑕疵的引擎是由引擎工廠故意設計生產。為了要分辨正常(OK)引擎與瑕疵引擎，我們使用了許多常用的訊號處理方法，包含時域訊號統計量-均方根(Root Mean Square、RMS)值與峰態(Kurtosis)值、快速傅立葉轉換(FFT)、雙通道分析和1/3八音度分析，並且討論這些訊號處理結果的差異。

　　文末並將整個引擎瑕疵測試系統程式流程以圖片方式呈現，規劃出一套可作為引擎瑕疵初步判斷的測試機台，並提出一些可改善此系統性能之未?發展建議。

　This study focuses on using the development of an automobile engine fault detection system based on vibration measurement information. The entire system includes the vibration data acquisition and signal analyse capabilities.

　The system is realized by integrating the National Instrument measurement modules and the LabVIEW Software. In the detail of this work, we concentrate on the vibration behavior of the NG (No Good) engine of designated fault-inserts created by the engine factory. Several general purpose signal analysis procedures called time-domain-statistics RMS and Kurtosis, Fast Fourier Transform (FFT), dual channel analysis, and 1/3 Octave are performed in order to distinguish the difference of a normal (OK) car engine from the NGs. The results will be discussed.

　Finially, a photo-type of the preliminary engine fault detection system is presented, which can be used at the end of an engine assemble line to perform the earlier check of abnormal engine vibration. Future work is also suggested in order to increase the performance of such system.

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