未來展望

本論文提出兩種齒輪辨識的系統，藉由第五章的實驗證實異常偵測與 錯誤診斷系統在使用多個轉速進行訓練時的辨識能力很好，不過關於單一 轉速進行訓練的辨識能力卻有所不足，關於這點未來希望能加以改良。首 先實驗模組的挑選的範圍不多，而且在選擇辨識模型的方法只有中間轉速 的齒輪狀態，未來希望對於辨識模型能進行不同的選擇，以及將實驗挑選 的範圍加大或做改變，或許能改善錯誤診斷系統的辨識率，希望可以找到 以最少轉速特徵進行訓練，就可以辨識其餘轉速的齒輪狀態。接下來在實 驗中也發現每個演算法在不同的模組中，辨識有的良好有的辨識不清，未 來希望可以在辨識時針對不同的實驗模組，進行演算法的改進或是演算法 特徵的挑選，只挑選對於辨識良好的特徵來進行辨識，希望可以找到提升 辨識率的方法，可以對台灣工具機的異常偵測與錯誤診斷系統有所貢獻。

參考文獻

[1] 江素雲，「2013 年全球工具機市場面觀」，IT IS 產業評析，2013 / 07。

[2] 傅繼盈，蔣秀珍，「機械學基礎」，哈爾濱工業大學出版社，2003 / 8。

[3] Z. Xu, J. Xuan, T. Shi, B. Wu, Y. Hu“A Novel Fault Diagnosis Method of Bearing Based on Improved Fuzzy ARTMAP and Modified Distance Discriminant Technique”Expert Systems with Applications, vol. 36, pp.11801-11807, 2009.

[4] S.Wadhwani, A. K. Wadhwani, S. P. Gupta and V. Kumar, “ Detection of Bearing Failure in Rotating Machine Using Adaptive Neuro-Fuzzy Inference System,” in Power Electronics, Drives and Energy Systems, 2006.

PEDES ’06. International Conference on, New Delhi, 2006.

[5] R. Yan and R.X. Gao, ”Approximate Entropy as a Diagnosis Tool for Machine Health Monitoring,” Mechanical Systems and Signal Processing, vol. 21, pp. 824-839, 2007.

[6] J. Huang, H. Pen and S. Bi, “Bispectrum Entropy Feature Extraction and Its Application for Fault Diagnosis of Gearbox,“ in Fussy Systems (FUZZ), 2010 IEEE International Conference on, Barcelona, 2010.

[7] D. Yu, Y. Yang and J. Cheng, “Application of Time Frequency Entropy Method Based on Hilbert Huang Transform to Gear Fault Diagnosis,”

Measurement, vol. 40, pp. 823-830, 2007.

[8] R. Yan and R.X. Gao, ”Complexity as a Measure for Machine Health Evalution,” IEEE Transaction on, vol. 53, no. 4, pp. 1327-1334, 2004.

[9] H. Hong and M. Liang, “Fault Severity Assessment for Rolling Element Bearing Using the Lempel-Ziv Complexity and Continuous Wavelet Transform,” Journal of Sound and Vibration, vol. 320, pp. 452-468, 2009.

[10] 林庭毅、吳順德、林倪鋒,「基於多尺度方均根植與前饋式倒傳遞網路隻 機械錯誤診斷系統,」於2012中華民國系統科學與工程延討論會, 基隆市, 2012.

[11] R. Hao, Z. Peng, Z. Feng and F. Chu, “Application of Support Vector Machine Based on Pattern Spectrum Entropy in Fault Diagnostics of Rolling Element Bearings,” Measurement Science and Technology, vol. 22, p.

045708, 2011.

[12] J. S. Richman and J. R. Moorman, “Physiological time-series analysis using approximate entropy and sample entropy,” Am J Physiology Heart Circulatory Physiology, Vol. 278, pp. H2039-H2049, 2000.

[13] B. Li, P. Zhang, S. Liang and G. Ren, “Feature Extraction and Selection for Fault Diagnosis of Gear Using Wavelet Entropy and Mutual Information,” in International Conference on Signal Processing, Beijin, China, 2008.

[14] L. Zong, G. Xiong, H. Liu, H. Zou and W. Guo, “Bearing Fault Diagnosis Using Multi-scale Entropy and Adaptive Neuro-Fuzzy Inference,” Expert System with Applications, vol. 37, pp. 6077-6085, 2010.

[15] J. L. Lin, J. Y. Liu, C. W. Li, L. F. Tsai and H. Y. Chung, “Motor Shaft Misalignment Detection Using Multiscale Entropy with Wavelet Denoising,”

Expert System with Applications, vol. 37, pp. 7200-7204, 2010.

[16] 吳求文、王俊傑、吳順德,「基於多尺度熵、區別指標與支持向量機之旋 轉機械異常診斷系統,」於 第二十八屆中國機械工程全國學術研討會, 台中市,2011.

[17] 李威諭、吳求文、吳順德,「基於多尺度排序熵與k-means 分類器之錯誤 診斷系統,」於 2013中華民國系統科學與工程研討會,基隆市,2012.

[18] S.D. Wu , P.H. Wu , C.W. Wu , J.J. Ding, C. C. Wang ,“Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector

Machine ,” The 3nd international Conference on Mechanic Automation and Control Engineering (MACE2012), Inner Mongolia, China, 2012

[19] Y. N. Pen, J. Chen and X. L. Li, “Spectral Entropy: A Complementary Index for Rolling Element Bearing Performance degradation Assessment,” Proc.

IMechE Part C: J. Mechanical Engineering Science, no. 223, pp. 1223-1231, 2009.

[20] J. Hu, R. Shao and Z. Zeng, “Method of Gear's Fault Diagnosis based on Spectral Entropy,” Journal of Mechanical Transmission, May 2007.

[21] 王俊傑、吳求文、吳順德、李易宗、吳豐泰,「多尺度頻譜熵在軸承異 常監控與診斷之應用,」於第二十八屆中國機械工程學術研討會, 台中 市, 2011.

[22] 吳求文,“旋轉機械線上監控與異常辨識系統,”國立臺灣師範大學機 電科技學系,碩士論文,2012 6月.

[23] S. D. Wu, C. W. Wu, S. G. Lin , C. C. Wang and K. Y. Lee “Time Series Analysis Using Composite Multiscale Entropy,” in Entropy, 15, 1069-1084;

doi:10.3390/e15031069,2013

[24] 吳求文、王仁浩、吳順德,「軸承錯誤診斷基於多尺度奇異值分解熵,」

於 第三十屆中國機械工程學會全國學術研討會, 宜蘭縣 2013.

[25] W. C. Kao, C. K. Yu, C. P. Shen, and W. H. Chen “Electrocardiogram Analysis with Adaptive Feature Selection and Support Vector Machines,” in n Proc. IEEE Asia Pacific Conference on Circuits and Systems, Singapore 2006.

[26] W. C. Kao, M. C. Hsu and Y. Y. Yang “Local Contrast Enhancement and Adaptive Feature Extraction for Illumination-invariant Face Recognition,”

Pattern Recognition, vol. 43, no. 6, pp.1736-1747, 2010.

[27] N. Saravanan, V. N. S. Kumar Siddabattuni and K. I. Ramachandran “Fault Diagnosis of Spur Bevel Gear Box Using Artificial Neural Network (ANN), and Proximal Support Vector Machine (PSVM),” Applied Soft Computing, vol. 10, pp. 344-360, 2010.

[28] B. Sreejith, A. K. Verma and A. Srividya, "Fault Diagnosis of Rolling Element Bearing Using Tme-Domain Features and Neural Networks," IEEE Proceedings of ICIIS, pp. 1-6, 2008.

[29] W. X. Sun, J. Chen, J. Q. Li “Decision Tree and PCA-based Fault Diagnosis of Rotating Machinery,” Mechanical Systems and Signal Processing, vol. 21, pp. 1300-1317, 2007.

[30] C. W. Hsu and C. J. Lin “A Comparison of Methods for Multiclass Support Vector Machines” IEEE Transactions on Neural Networks, vol. 13, no. 2, pp.

414-9425, 2002.

[31] 李易宗,“ 基於強化型 Morlet 轉換、解調變頻譜、多尺度熵、多頻帶頻 譜熵與決策樹之齒輪箱異常診斷系統,”國立臺灣師範大學機電科技學 系,碩士論文,2012 7 月

[32] http://spl.mt.ntnu.edu.tw/ITRI_data_menu.html

[33] C. E. Shannon, “A Mathematical Theory of Communication,” Bell System Technical Journal, vol. 27, pp. 379-423, 623-656, Jul, Oct 1948.

[34] C. Bandt and B. Pompe, “Permutation Entropy: A Natural Complexity Measure for Time Series,” Physical Review Letter, vol. 88, pp.

174102-1-174102-4, April 2002.

[35] Y. B. Liu, Q. Long, Z. H. Feng and W. L. Liu, “Detection Method for Nonlinear and Non-stationary Signals,” Journal of Vibration and Shock, Dec 2007.

[36] R. Q Yana, Y. B. Liu, R. X. Gao “Permutation entropy : A nonlinear statistical measure for status characterization of rotary machines,”

Mechanical Systems and Signal Processing, Dec 2011.

[37] G. E. Powell and I. C. Percival “A spectral entropy method for distinguishing regular and irregular motion of Hamiltonian systems,”

Journal of Physics A: Mathematical and General, vol. 12, pp. 2053-2071, Nov 1979.

[38] O. Alter, P. O. Brown, and D. Botstein, "Singular value decomposition for genome-wide expression data processing and modeling," Proceedings of the National Academy of Sciences of the United States of America, vol. 97, pp.

10101-10106, Aug 29 2000.

[39] M. Costa, A. L. Goldberger and C. K. Peng, “Multiscale Entropy Analysis of Complex Physiologic Time Series,” Physical Review Letters, Vol. 89, No.6, pp. 068102-1 - 068102-4, 2002.

[40] M. Costa, A. L. Goldberger and C. K. Peng, “Multiscale Entropy Analysis of Biological Signals,” Physical Review E, Vol.71, pp. 021906-1 - 021906-18, 2005.

[41] W. Aziz , M. Arif, “Multiscale Permutation Entropy of Physiological Time Series,” on 9th International Multitopic Conference, IEEE INMIC 2005, Karachi, 2005.

[42] C.C. Chang and C.J. Lin, LIBSVM : a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm

[43] 張斐章，張麗秋，「類神經網路」，台灣東華書局股份有限公司，2005 / 9。

[44] D. E. Rumelhart, G. E. Hinton and R. J. Williams, "Learning Internal Representation by Error Propagation," in Parallel Distributed Processing, D.

E. Rumelhart and McClelland(Eds), MIT, Press, Cambridge, MA, vol. 1, pp.

318-362, 1986.

[45] 林庭毅,“ 基於多尺度方均根、多尺度熵、費雪法與倒傳遞網路之軸承 錯誤診斷系統,”國立臺灣師範大學機電科技學系,碩士論文,2012 6 月 [46] 趙景明、梁淑芳，「導入 LM 法之平行倒傳遞演算法」，資訊管理展望，

第 8 卷，第 2 期，第 85~108 頁，2006 年 12 月。

[47] M. T. Hagan and M. B. Menhaj, "Training Feedforward Networks with the Marquardt Algorithm," IEEE Trans. Neural Networks, vol. 5, pp. 989-993, 1994

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