工具機的主軸因轉速的不同可能會使得刀具切削工件表面時產生振動的現象，其振動的狀態經常被視為衡量品質的主要特徵，在機器未故障之前亦經常用於預測性保養的重要指標，以上這些因素都是影響加工精密度最直接的關鍵因素，有鑑於此，振動是工具機運轉時必須進行即時量測與監控的目標。在分析訊號時快速傅立葉轉換(Fast Fourier Transform, FFT)直到今日仍是使用最為廣泛的方法，但直接使用FFT分析，對於有缺陷軸承因其具有非固定訊號的特性，分析效率無法達到精確的目標，因此利用所發展的enhanced-FFT(e-FFT)數學模型，實現即時工具機主軸振動的偵測。
本篇論文基於物聯網架構建立機台振動量視系統，利用自行開發之LabVIEW(Laboratory Virtual Instrumentation Engineering Workbench)做為資料擷取系統，並使用微控制器與機台設備控制器進行訊號連結，由單晶片擷取來自機台的振動訊號並進行e-FFT運算處理，透過RS232/RS485通訊傳送至LabVIEW資料擷取系統，同時將資料上傳MySQL資料伺服器，並由PHP(Hypertext Preprocessor)動態網頁上顯示即時機台/設備狀態，由雲端資料庫可查詢機台設備端歷史資料，本研究系統在實際應用的方面具有相當的可靠度及便利性。

It is known that the vibration impulses occurred from a bearing defect is non-periodic but cyclostationary due to the slippage of rollers. The vibration status is often perceived to be synonymous with quality and thus used as predictive maintenance before breakdown. As a result, the analysis of vibration has been used as a key condition tool for fault detection, diagnosis, and prognosis. This article develops on-line bearing vibration detection and analysis using enhanced fast Fourier transform algorithm. From fast Fourier transform can be induced, and it is then used to establish a mathematical model to find major frequencies of vibration signal. Also, the dispersed energy can be collected to retrieve its original gravitational acceleration.
This paper Development of Vibration Measurement Systems Based on the IOT, uses the LabVIEW as the data acquisition system, and uses the microcontroller to capture the vibration signal from the sensor on the machine and e-FFT operation. Through the RS232/RS485 communication to the LabVIEW, while the data upload to MySQL, and shows the real machine/device status by the PHP dynamic web page. From the cloud database can query the machine equipment historical data. Both measurement calibration and practical results verify that the proposed program can achieve accurate, rapid, and reliable Outcomes

中文摘要 II
Abstract III
誌謝 IV
目錄 V
圖目錄 VII
第一章 緒論 1
1.1 前言 1
1.2 研究動機與目的 2
1.3 文獻探討 4
1.4 論文架構 6
第二章 系統架構 7
2.1 機台振動預警與診斷系統架構 7
2.2 系統硬體架構 10
2.3 系統軟體架構 11
2.4 系統執行 13
第三章 硬體系統設計 14
3.1 加速規訊號感測電路 14
3.2 單晶片訊號擷取及運算模組 16
3.3 串列通訊模組 20
第四章 軟體系統設計 22
4.1 快速傅立葉轉換(FFT) 22
4.2 增強型快速傅立葉轉換(e-FFT) 27
4.3 MySQL資料庫 33
4.4 LabVIEW資料擷取系統設計 36
4.5 PHP動態網頁 42
第五章 實驗結果與分析 46
5.1 標準波形測試 46
5.2 諧波波形測試 53
5.3 振動產生器測試 57
5.4 工具機振動切削測試 61
第六章 結論與未來展望 64
參考文獻 65
論文發表與專題競賽 68

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