本文主要探討應用傅立葉正弦頻譜，針對工作母機的聲音與振動數據做分析研究。針對一串數據，先以疊代式高斯平滑法移除非週期部分，在該數據兩端取零點，對其中一點作奇函數外插後，經非振盪式三次分段內插法重新分佈點之後，可用快速傅式轉換式求得傅立葉正弦頻譜。由實驗結果得知，麥克風系統所擷取到之訊號，若能和不貼在被測物表面的麥克風訊號作對照，便能夠拆解出較明顯之低頻振動訊號。本文也對同一系統，使用不同的感知器系統量測其振動數據，所用的感知器有加速規、麥克風和高速攝影機等。針對工作母機的使用狀態，本文藉由麥克風、高速攝影機系統與加速規進行量測，從其頻譜圖可以看出它們有相同之主要模組(modes)與諧波(harmonics)。以加速規的數據為依據，本文驗證了麥克風和高速攝影機系統的可靠度，可見使用麥克風或高速攝影機作為數據收集系統具有進一步發展的潛力。

The Fourier sine spectrum is employed to analyze about the acoustic, image, and vibration data form several mechanical equipments. For a resulting data string extracted from there, the non-sinusoidal trend are being removed by the iterative Gaussian smoothing method. Then, zero points around two ends of the resulting sinusoidal part are identified by searching and interpolation. After dropping segments beyond the two zero ends, the corresponding Fourier sine spectrum is obtained. The examined systems include the vibration information of a column of the building of this department, gear box of a motorcyle in operation, lathe, drill machine, and grinding machine. The vibration data are collected by the accelerometer, microphone held by human hand, and high speed camera. All the test results show that most of the microphone spectrum are similar to that collected by the accelerometer. Some discrepancies between them may be caused by the incapability of capturing the acoustic data propagating through the air via the accelerometer. Since the microphone system has several uncertainties induced by the human hand’s stability, its result is falling into the qualitative group. The spectrum generated by high speed camera can be properly identified by the accelerometer system but is limited to the low frequency zone only. Since the light source can not be properly controlled now, the high frequency information is missed as the camera system employed. On the whole, both the microphone and camera systems can be the potential auxiliary systems to enrich the existing vibration data acquisition system.

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