本研究主要目的是整合機電設備、感測器、性能分析軟體開發一套機械性能評估系統，以振動量測的方式協助工程師來預測機械情況。由於小波包比起傳統傅立葉分析具有較佳的時頻分析能力，因此選用小波包能量法作為振動訊號分析工具，之後再以主成份分析法選出有利於分類的特徵，並根據貝氏分類法進行性能評估。最後以PCB 鑽孔機測試系統之有效性，結果顯示該理論可有效綜合主成份分析與貝氏分類法兩者的優點，能以簡易模型獲得不錯的分類效果。

This study aimed to integrate the electric equipment, sensors and the performance analysis software .Therefore, a set of machine performance assessment system, was developed which can help engineers to predict the conditions of machines by measuring the vibration. Since Wavelet Packet possesses better time frequency analysis than Fast Fourier Transform (FFT), Wavelet Packet Energy was used as the analysis tool of the vibration signal, and the beneficial classification features through the Principal Component Analysis was selected, and then the performance assessment was conducted according to Bayesian Classification. Finally, by the effectiveness achieved by the PCB Machine Tool Assessment System, this theory can achieve pretty good effect with the simple model as well as effectively integrate the advantages of both the Principal Component Analysis and the Bayesian Classification.

[1] R. N. Bracewell, The Fourier Transform and its Application, McGraw-Hill, 1978
[2] G-AE Subcommittee on Measurement Concepts, “What is the Fast Fourier Transform ?,”IEEE Trans. Audio and Electroacustics, Vol. AU-15, No.2, pp. 45-55., 1967
[3] H. K. ZAVERI., Order Tracking Analysis, B&K, Technical Review No.2, 1995
[4] S. Mallat, A Wavelet Tour of Signal Processing, Academic Press, 1998
[5] H. OEHMANN, “A Method for Analyzing Gearbox Faults Using Time-Frequency Representations,” Mechanical Systems and Signal Processing, Vol.11, No.4, pp.529-545., 1997
[6] B.A PAYA, “Artificial Neural Network Based Fault Diagnostics of Rotating Machinery Using Wavelet Transform as a Preprocessor,” Mechanical Systems and Signal Processing,Vol.11, No.5, pp.751-765., 1997,
[7] J. Yan, J. Lee, “Predictive Algorithm for Machine Degradation Detection Using Logistic Regression,” Milwaukee, pp.172-178. , 2002
[8] W. Li, D. Li, J. Ni, “Diagnosis of Tapping Process using Spindle Motor Current,”International Journal of Machine Tools & Manufacture, Vol.43, pp.73-79. , 2003
[9] J. Yan and J. Lee, “Degradation Assessment and Fault Modes Classification Using Logistic Regression,” Journal of Assessment and Manufacturing Science and Engineering, Vol.127, pp.912-914. , 2005
[10] H. Qiu, J. Lee, J. Lin and G. Yu, “Wavelet Filter-based Weak Signature Detection Method and its Application on Rolling Element Bearing Prognostics,” Journal of Sound and Vibration , Vol.289 , pp.1066-1090. , 2006
[11] L. Liao, B. Huang, J. Lee, “Logistic Regression-based Machine Health Assessment Method on Application of Smart Machine Tool,” International Manufacturing Leaders Forum, 2006
[12] G. G. Yen and K. C. Lin, “Wavelet Packet Feature Extraction for Vibration Monitoring,” IEEE Trans. Ind. Electron, Vol.47, No.3, pp.650-667, 2002
[13] N. Casoetto, D. Djurdjanovic, “Multisensor Process Performance Assessment through Use of Autoregressive Modeling and Feature Maps,” Journal of Manufacturing Systems, Vol.22, No.1, pp.1-9, 2003
[14] D. Djurdjanovic, J. Lee and Jun Ni, “Watchdog Agent An Infotronics Based Prognostics Approach for Product Performance Degradation Assessment and Prediction,” Elsevier, Vol.17, pp.109-125. , 2003
[15] R. R. Coifman, M. V. Wickerhauser, “Entropy-Based Algorithms for Best Basis Selection, ”IEEE Transactions on Information Theory, Vol.38, NO.2, pp. 713-718, 1992
[16] K. Usman, H. Juzoji, “A Study of Increasing the Speed of the Independent Component Analysis (ICA) Using Wavelet Technique,” Enterprise Networking and Computing in Healthcare Industry, Vol. 28, pp.73-75. , 2004
[17] J. W. Cooley and J. W. Tukey, “An Algorithm for the Machine Calculation of Complex Fourier Series,” Mathematics Computation, Vol.19 , pp. 297-301. , 1965
[18] 王智中，“小波轉換應用於旋轉機械故障診斷之分析”， 成功大學系統與船舶機電工程研究所碩士論文，台南，1998
[19] 王智中，“多解析盲蔽反捲積演算法應用於振動與聲音之研究”，成功大學系統與船舶機電工程研究所博士論文，台南，2003
[20] 張結雄，“使用主成分轉換及貝氏網路方法於離子植入製程之錯誤偵測與診斷”，交通大學電機與控制工程所碩士論文，新竹，2001
[21] 趙安民，“馬達故障診斷之模糊類神經網路”，中原大學機械工程所碩士論文，中壢，2004
[22] 許智超，“訊號處理對偵測引擎瑕疵之研究”，成功大學系統與船舶機電工程研究所碩士論文，台南，2004
[23] E. O. Brigham，黎文明譯，快速傅利葉變換，復漢出版社，1991
[24] 王濟，“Matlab在振動訊號處的應用”，中國水利水電出版社，1996
[25] 洪峻凱，“小波機械損壞診斷系統”，南台科技大學機械工程所碩士論文，台南，2003
[26] 林昆達，“小波轉換與類神經網路在橋梁非破壞檢測之應用”，中原大學土木工程研究所碩士論文，中壢，2002
[27] 黃嘉閔，“轉動機械之智慧型階次追蹤診斷系統”，交通大學機械工程研究所碩士論文，新竹，2003
[28] 劉承揚，“小波轉換應用於結構自然頻率與阻尼比分析之研究”，成功大學造船暨船舶機械工程研究所碩士論文，台南，2001
[29] 林穎俊，“應用小波轉換與類神經於電力品質事故之監測與辨識”，中原大學電機所碩士論文，中壢，2003
[30] 張永昌，“國內商業銀行零售型資產信用風險之研究-以消費者貸款為例”，東吳大學經濟所碩士論文，台北，2006
[31] 林彥宏、張結雄，“資料挖掘技術使用在離子植入機製程之配方分類系統之研究”，機械工業雜誌，Vol. 228，2002
[32] 葉懷仁，“類神經網路應用於引擎聲訊之辨識”，中山大學物理研究所碩士論文，高雄，2003
[33] 林師模，多變量分析-管理上的應用，雙葉書廊有限公司，1994