參考文獻 |
[1] M.P. Norton,”Fundamental of Noise and Vibration Analysis for Engineers,” Cambridge University Press, 1989
[2] B. Porat, A course in digital signal processing. New York: John Wiley, 1997.
[3] R. Isermann, Fault diagnosis applications. Berlin: Springer, 2011.
[4] 曾奕嘉, "動態訊號分析工具箱發展與機械故障診斷應用研究, "國立中央大學,碩士論文, 2015
[5] Z. Ye, B. Wu and A. Sadeghian, "Induction motor mechanical fault online diagnosis with the application of artificial neural network", in Proc. IEEE Applied Power Electronics Conf., vol. 2, 1015-1021, 2001.
[6] Y. H. Ao "Monitoring of Drilling Tool Condition through Spindle Current", Advanced Materials Research, vols. 139-141, 2595-2598, 2010
[7] M. Lu and B. Wan, "Study of high-frequency sound signals for tool wear monitoring in micromilling", The International Journal of Advanced Manufacturing Technology, vol. 66, no. 9-12, 1785-1792, 2012.
[8] T. Thaler, P. Potočnik, I. Bric and E. Govekar, "Chatter detection in band sawing based on discriminant analysis of sound features", Applied Acoustics, vol. 77, 114-121, 2014.
[9] B. Chen, Z. Yan and W. Chen, "Defect Detection for Wheel-Bearings with Time-Spectral Kurtosis and Entropy", Entropy, vol. 16, no. 1, 607-626, 2014.
[10] C. Wei, H. Chung and J. Zhang, "The Study of Band Sawing Vibration and Cutting Performance", Key Engineering Materials, vol. 642, 236-241, 2015.
[11] I. Bravo-Imaz, H. Davari Ardakani, Z. Liu, A. García-Arribas, A. Arnaiz and J. Lee, "Motor current signature analysis for gearbox condition monitoring under transient speeds using wavelet analysis and dual-level time synchronous averaging", Mechanical Systems and Signal Processing, vol. 94, 73-84, 2017.
[12] J. Ramirez-Nunez, M. Trejo-Hernandez, R. Romero-Troncoso, G. Herrera-Ruiz and R. Osornio-Rios, "Smart-sensor for tool-breakage detection in milling process under dry and wet conditions based on infrared thermography", The International Journal of Advanced Manufacturing Technology, vol. 97, no. 5-8, 1753-1765, 2018.
[13] W. Jin, Y. Chen and J. Lee, "Methodology for Ball Screw Component Health Assessment and Failure Analysis", International Manufacturing Science and Engineering Conference, vol. 2, no.1252, 2013.
[14] M. Harun, M. Ghazali and A. Yusoff, "Analysis of tri-axial force and vibration sensors for detection of failure criterion in deep twist drilling process", The International Journal of Advanced Manufacturing Technology, vol. 89, no. 9-12,3535-3545, 2016.
[15] R. Nakandhrakumar, D. Dinakaran, M. Gopal and J. Pattabiraman, "A novel normalisation procedure for the sensor positioning problem in vibration monitoring of drilling using artificial neural networks", Insight - Non-Destructive Testing and Condition Monitoring, vol. 58, no. 10, 556-563, 2016.
[16] A. Rai and S. Upadhyay, "Intelligent bearing performance degradation assessment and remaining useful life prediction based on self-organizing map and support vector regression", Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 232, no. 6, 1118-1132, 2017.
[17] J. Junz Wang, S. Wu and R. Lee, "Chip fractal geometry and loading characteristics of sinusoidal multi-cutters in hack-sawing process", International Journal of Machine Tools and Manufacture, vol. 59, 65-80, 2012.
[18] E. D. Eneyew and M. Ramulu, "Tool Wear Monitoring Using Microphone Signals and Recurrence Quantification Analysis when Drilling Composites", Advanced Materials Research, Vol. 711, 239-244, 2013
[19] Karali Patra, Surjya K. Pal and Kingshook Bhattacharyya, " APPLICATION
OF WAVELET PACKET ANALYSIS IN DRILL WEAR MONITORING”, Machining Science and Technology, vol. 11, 413-432, 2013
[20]R. Nakandhrakumar, D. Dinakaran, S. Satishkumar and M. Gopal, "Influence of Sensor Positioning in Tool Condition Monitoring of Drilling Process through Vibration Analysis", Advanced Materials Research, vol. 984-985, 564-569, 2014.
[21] J. Gao, Z. Jiang, J. Zhang, H. Li, D. Shen and H. Zhao, "Band Saw Blade Crack before and after Comparison and Analysis of Experiments (2)", MATEC Web of Conferences, vol. 68, 2003-2006, 2016.
[22] Y. Qu, D. He, J. Yoon, B. Van Hecke, E. Bechhoefer and J. Zhu, "Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors — A Comparative Study", Sensors, vol. 14, no. 1, 1372-1393, 2014.
[23] M. Nie and L. Wang, "Review of Condition Monitoring and Fault Diagnosis Technologies for Wind Turbine Gearbox", Procedia CIRP, vol. 11, 287-290, 2013.
[24] H. Syafiq, M. Kamarizan, M. Ghazali and A. Yusoff, "Statistical Analysis of Deep Drilling Process Conditions Using Vibrations and Force Signals", MATEC Web of Conferences, vol. 74, no. 00002, 2016.
[25] Y. Zhou and W. Xue, "Review of tool condition monitoring methods in milling processes", The International Journal of Advanced Manufacturing Technology, vol. 96, no. 5-8, 2509-2523, 2018.
[26] Karali Patra, “Acoustic Emission based Tool Condition Monitoring System in Drilling”, Proceedings of the World Congress on Engineering, vol. 3, 2126-2130, 2011.
[27] A. Kumar, J. Ramkumar, N. Verma and S. Dixit, "Detection and classification for faults in drilling process using vibration analysis", IEEE Conference on Prognostics and Health Management - PHM, 2014.
[28] K. Javed, R. Gouriveau, X. Li and N. Zerhouni, "Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model", Journal of Intelligent Manufacturing, 1-18, 2016.
[29] 林育新, "滾動軸承智能診斷與剩餘壽命預估技術之研發, "國立中正大學,碩士論文, 2017
[30] 朱效賢, "包絡譜分析於軸承故障診斷之探討暨工程應用, "國立中央大學,碩士論文, 2005
[31] J. Cooley and J. Tukey, "An algorithm for the machine calculation of complex Fourier series", Mathematics of Computation, vol. 19, no. 90, 297, 1965.
[32] E. Lapira, D. Brisset, H. Davari Ardakani, D. Siegel and J. Lee, "Wind turbine performance assessment using multi-regime modeling approach", Renewable Energy, vol. 45, pp. 86-95, 2012.
[33]靳蕃,範俊波,譚永東,神經網路與神經計算機原理.應用,儒林出版,台北市 (1992)
[34] T. Soong, Fundamentals of probability and statistics for engineers. Chichester: J. Wiley & Sons, 2005 |