姓　名

楊大明 / Da-Ming Yang

職　稱

副教授 所長暨系主任

個人網頁

辦 公 室

機電大樓4樓機413-3室

電子信箱

dmyang@tsust.edu.tw

電　話

外線直撥 (07) 607-7025
校內分機 2105

專　長

英國University of Aberdeen工程博士
Condition Monitoring,
Advanced Signal Processing techniques,
Artificial Intelligence and
Mechatronics
-勞動部機電整合乙級證照
-勞動部機電整合職類乙丙級技術士術科測試監評

期刊論文

1.D.-M. Yang, “The Detection of Motor Bearing Fault with Maximal Overlap Discrete Wavelet Packet Transform and Teager Energy Adaptive Spectral Kurtosis,” Sensors, vol. 21, no. 20, p. 6895, Oct. 2021. https://doi.org/10.3390/s21206895

2.D.-M. Yang, "The Envelop-Based Heterodyne Bispectrum Analysis for Motor Bearing Defect Detection", International Journal of Mechanical and Production Engineering (IJMPE), pp. 19-25, Vol. 6, no. 12, Dec. 2018. http://www.iraj.in/journal/journal_file/journal_pdf/2-527-155081233319-25.pdf

3.D.-M. Yang, A. F. Stronach, and P. MacConnell, “The Application of Advanced Signal Processing Techniques to Induction Motor Bearing Condition Diagnosis,” Meccanica, vol. 38, pp. 297–308, 2003. https://doi.org/10.1023/A:1022806705177

4.D.-M. Yang, A. F. Stronach, P. MacConnell, and J. Penman, “Third-order spectral techniques for the diagnosis of motor bearing condition using artificial neural networks,” Mechanical System and Signal Processing, vol. 16, no. 2-3, pp. 391-411, 2002. https://doi.org/10.1006/mssp.2001.1469
 

研討會論文

1.D.-M. Yang, "The detection of bearing incipient fault with maximal overlap discrete wavelet packet transform and sparse code shrinkage denoising", In Proceedings of the 2020 International Symposium on Computer, Consumer and Control (IS3C), pp. 216–219, Taichung, Taiwan, 13–16 November, 2020; doi:
https://doi.org/10.1109/IS3C50286.2020.00063.

2.D.-M. Yang, "The undecimated wavelet transform-based envelope power spectrum for motor bearing fault detection", In Proceedings of the IRSET 2019 (International Research Symposium on Engineering and Technology), pp. 285-294, Okinawa, Japan, July 1 to 3, 2019.

3.D.-M. Yang, "The envelop-based heterodyne bispectrum analysis for motor bearing defect detection", In Proceedings of the ISER 151st International Conference, pp. 22-28, London, UK, 18–19 August, 2018.

4.D.-M. Yang, "The envelop-based bispectral analysis for motor bearing defect detection", In Proceedings of the 2017 International Conference on Applied System Innovation (ICASI), pp. 1646-1649, Hotel Emisia, Sapporo, Japan, May 13-17, 2017; doi: https://doi.org/10.1109/ICASI.2017.7988250.

5.D.-M. Yang, Induction Motor Bearing Fault Detection using Wavelet-based Envelope Analysis, 2014 International Symposium on Computer, Consumer and Control, 2014, pp.1241~1244;doi:
https://doi.org/10.1109/IS3C.2014.321

6.D.-M. Yang, Induction Motor Bearing Fault Detection using Wavelet-based Envelope Analysis, 2012 International Symposium on Computer, Consumer and Control, 2012, pp.1241~1244; doi:
https://doi.org/10.1109/IS3C.2012.104

7.D.-M. Yang, Fault classification for Induction Motor using Hilbert-based Bispectral Analysis and Probabilistic Neural Networks, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery, Shanghai, China., pp.1060~1064;
doi:
https://doi.org/10.1109/IS3C.2012.104

8.D.-M. Yang, The application of artificial neural networks to the diagnosis of induction motor bearing condition using Hilbert-based bispectral analysis, 2010 5th IEEE Conference on Industrial Electronics and Applications, 2010, pp. 1730-1735;
doi:
https://doi.org/10.1109/ICIEA.2010.5515273

9.D.-M. Yang, Wavelet-Based Bispectra for Motor Rotor Fault Detection, 2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008, pp. 603-607,;
doi:
https://doi.org/10.1109/ISDA.2008.23

10.D.-M. Yang, Induction Motor Bearing Fault Detection with Non-stationary Signal Analysis, 2007 IEEE International Conference on Mechatronics, 2007, pp. 1-6,; doi: https://doi.org/10.1109/ICMECH.2007.4279981

11.D.-M. Yang, “A novel intelligent predictive maintenance procedure for electrical machines,” in The 36th CIE Conference on Computers & Industrial Engineering, Taipei, 2006, pp. 985-993.

12.楊大明,, (2004, Nov). A novel procedure for the condition monitoring of electrical machines. 中國機械工程學會第二十一屆全國學術研討會論文集.

13.楊大明*,朱益志（2007年11月）。發展感應馬達軸承的即時量測介面與統計分析。中國機械工程學會第二十四屆全國學術研討會論文集。

 

參與計畫

1.勞動部勞動力發展署技能檢定中心, 108年度全國技術士技能檢定第一次術科測試-高苑科技大學辦理108年度機電整合職類學術科測試, 單一計畫主持人, 2019/4/10～2019/9/10.

2.勞動部勞動力發展署技能檢定中心, 107年度全國技術士技能檢定第一次術科測試-高苑科技大學辦理107年度機電整合職類學術科測試, 單一計畫主持人, 2018/4/10～2018/9/10.

3.勞動部勞動力發展署技能檢定中心, 106年度全國技術士技能檢定第一次術科測試-高苑科技大學辦理106年度機電整合職類學術科測試, 單一計畫主持人, , 2017/5/9～2017/9/30.

4.勞動部勞動力發展署技能檢定中心, 105年度全國技術士技能檢定第一次術科測試-高苑科技大學辦理106年度機電整合職類學術科測試, 單一計畫主持人, 2016/5/27～2016/9/30.

5.全臻科技有限公司, 機電設備開發與技術諮詢服務工作, 單一計畫主持人, 2016/3/15～2016/12/31.

6.勞動部勞動力發展署技能檢定中心, 104年度全國技術士技能檢定第一次術科測試-高苑科技大學辦理106年度機電整合職類學術科測試, 單一計畫主持人, 2015/5/26～2015/9/30.

7.勞動部勞動力發展署補助大專校院辦理就業學程計畫: 自動化機電整合應用實務學程, 計畫主持人(有三位協同主持人), 2015/07/01~2016/08/31,

8.勞動部勞動力發展署技能檢定中心, 103年度全國技術士技能檢定第一次術科測試-高苑科技大學辦理106年度機電整合職類學術科測試, 單一計畫主持人, 2014/5/27～2014/9/30.

9.勞動部勞動力發展署補助大專校院辦理就業學程計畫: 自動化整合製造實務學程, 計畫主持人(有三位協同主持人), 2013/7/1~2014/8/31,

10.行政院勞工委員會職業訓練局補助大專校院辦理就業學程計畫-『自動化實務技術學程』-計畫主持人(有三位協同主持人) [南訓輔字第1010008139號]2012/7/1~2013/8/31

11.以高階信號處理為感應電動機診斷與遠端監控系統之研究(II)(95-2221-E-244-007-) 計畫主持人, 行政院國家科學委員會 2006/8/1 至 2007/7/31

12.以高階信號處理為感應電動機診斷與遠端監控系統之研究(I)(94-2212-E-244-002-), 計畫主持人, 行政院國家科學委員會

13.智慧型感應馬達狀況診斷預測維護系統研究(II)(93-2212-E-244-007- ) 計畫主持人, 行政院國家科學委員會

14.智慧型感應馬達狀況診斷預測維護系統研究(92-2212-E-244-002- ), 計畫主持人, 行政院國家科學委員會