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。
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