組別/跨組別 Area
電力與能源組/
辦公室 Office
EE-214-3
電話 Phone
02-2737-6675
Office Hour
Wed. 11:00-13:00
實驗室 Laboratory
電力系統分析實驗室 Power and Energy Supervisory Control System Lab.
Location : EE-214-6
Phone : 02-2733-3141 ext. 7710
學術背景與專業概覽
Academic and Professional Overview
| 學、經歷 | |
| 課程 | |
| 研究領域 |
| Education & Experience | |
| Course | |
| Research Areas |
著作 Publications
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Journals/
Proceedings/
Scholarly Works
研究計畫 Projects
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NSC/
Industry
[1]
Chun-Yao Lee(李俊耀) and Guang-Lin Zhuo, Optimal Transport Deep Clustering Network for Universal-Set Transfer Bearing Fault Diagnosis, IEEE Transactions on Instrumentation & Measurement, Nov. 2024 (SCI期刊)
[2]
Chun-Yao Lee(李俊耀) and Edu Daryl C. Maceren, Physics-Informed Anomaly and Fault Detection for Wind Energy Systems using Deep CNN and Adaptive Elite PSO-XGBoost, IET Generation Transmission & Distribution, Setp. 2024.
[3]
Chun-Yao Lee(李俊耀) and Edu Daryl C. Maceren, Physics-Informed Anomaly and Fault Detection for Wind Energy Systems using Deep CNN and Adaptive Elite PSO-XGBoost, IET Generation Transmission & Distribution, Setp. 2024.
[4]
Chun-Yao Lee(李俊耀) Truong-An Le, Wei-Lun Chien, and Shih-Che Hsu, Application of Symmetric Uncertainty and Emperor Penguin- Gray Wolf Optimization for Feature Selection in Motor Fault Classification, IET Electric Power Applications, July. 2024. (SCI期刊)
[5]
Chun-Yao Lee(李俊耀) and Guang-Lin Zhuo. Universal Domain Adaptation for Machinery Fault Diagnosis Based on Multi-scale Dual Attention Network and Entropy-Based Clustering, IET Science, Measurement & Technology, May 2024. (SCI期刊）
[6]
Chun-Yao Lee(李俊耀), Truong-An Le Yung-Chi Chen, and Shih-Che Hsu, Application of Salp Swarm algorithm and extended repository feature selection method in bearing fault diagnosis, Mathematics, Vol. 12, No. 11, pp. 1-17, May 2024 (SCI期刊）
[7]
Chun-Yao Lee(李俊耀) and Edu Daryl C. Maceren, Induction Motor Bearing Fault Classification Using Deep Neural Network with PSO-XGBoost, IET Electric Power Applications, Vol. 18, No. 3, pp. 265-377, March 2024. (SCI期刊）.
[8]
Chun-Yao Lee(李俊耀) and Edu Daryl C. Maceren, Wind Energy System Fault Classification and Detection Using Deep CNN and PSO-XGBoost, IET Energy Systems Integration, Feb. 2024.（通訊作者）
[9]
Chun-Yao Lee(李俊耀) Truong-An Le and, Chun-Lin Hung, A Feature Selection Approach Based on Memory Space Computation Genetic Algorithm Applied in Bearing Fault Diagnosis Model, IEEE Access, Vol.11, pp. 51282– 51295, May 2023 (SCI期刊）.
[10]
Chun-Yao Lee(李俊耀) and Guang-Lin Zhuo, Identifying Bearing Faults Using Multiscale Residual Attention and Multichannel Neural Network, IEEE Access, Vol.10, pp. 26953– 26963, March 2023 (SCI期刊).
[11]
Chun-Yao Lee(李俊耀), Truong-An Le and Tsung-Yao Chang, Application of Hybrid Model Between the Technique by Similarity to Ideal Solution and Feature Extractions for Bearing Defect Classification, Mathematics, Vol. 11, No. 6, pp. 1-21, March 2023 (SCI期刊).
[12]
Chun-Yao Lee(李俊耀) and Maickel Tuegeh, Optimal Generator Scheduling Considering Limit of Generator Operation Through Generator Capability Curve, Electric Power Components and Systems, Vol. 50, No. 3, pp. 120-132, Nov. 2022 (SCI期刊)
[13]
Chun-Yao Lee(李俊耀), Nando Purba and Guang-Lin Zhuo, Defects Classification of Hydro Generators in Indonesia by Phase-Resolved Partial Discharge, Mathematics, Vol. 10, No. 19, pp. 1-28, Oct. 2022 (SCI期刊).
[14]
Chun-Yao Lee(李俊耀), Kuan-Yu Huang, Chun-Chi Chen, Guang-Lin Zhuo and Maickel Tuegeh, Electricity Management Policy Applying Data Science and Machine Learning Techniques to Improve Electricity Costs, Symmetry, Vol. 14, No. 10, pp. 1-16, Oct. 2022 (SCI期刊)
[15]
Chun-Yao Lee(李俊耀), Guang-Lin Zhuo and Truong-An Le, A Robust Deep Neural Network for Rolling Element Fault Diagnosis Under Various Operating and Noisy Conditions, Sensors, Vol. 22, No. 13, pp. 1-18, June 2022 (SCI期刊)
[16]
Chun-Yao Lee(李俊耀) Meng-Syun Wen, Guang-Lin Zhuo and Truong-An Le, Application of ANN in Induction Motor Fault Detection System Established with MRA and CFFS, Mathematics, Vol. 10, No. 13, pp. 1-17, June 2022 (SCI期刊)
[17]
Chun-Yao Lee(李俊耀), Chen-Hsu Hung, and Truong-An Le, Intelligent Fault Diagnosis for BLDC with Incorporating Accuracy and False Negative Rate in Feature Selection Optimization, IEEE Access, Vol.10, pp. 69939 - 69949, June 2022 (SCI期刊)
[18]
Chun-Yao Lee(李俊耀), Truong-An Le, and Yu-Ting Lin, A Feature Selection Approach Hybrid Grey Wolf and Heap-Based Optimizer Applied in Bearing Fault Diagnosis, IEEE Access, Vol.10, pp. 56691-56705, May 2022 (SCI期刊)
[19]
Chun-Yao Lee(李俊耀), Yun-Jhan Hsieh and Truong-An Le, Induction Motor Fault Classification Based on Combined Genetic Algorithm with Symmetrical Uncertainty Method for Feature Selection Task, Mathematics, Vol. 10, No. 230, pp. 1-23, Jan. 2022 (SCI期刊)
[20]
Chun-Yao Lee(李俊耀) and Guang-Lin Zhuo, Localization of Rolling Element Faults Using Improved Binary Particle Swarm Optimization Algorithm for Feature Selection Task, Mathematics, Vol. 9, No. 18, pp. 1-22, Sept. 2021 (SCI期刊)
[21]
Chun-Yao Lee(李俊耀) and Truong-An Le, An Enhanced Binary Particle Swarm Optimization for Optimal Feature Selection in Bearing Fault Diagnosis of Electrical Machines, IEEE Access, Vol. 9, pp. 102671-102686, July 2021 (SCI期刊)
[22]
Chun-Yao Lee(李俊耀) and Chen-Hsu Hung, Feature Ranking and Differential Evolution for Feature Selection in BLDC Fault Diagnosis, Symmetry, Vol. 13, No. 7, pp. 1-15, July. 2021 (SCI期刊)
[23]
Chun-Yao Lee(李俊耀) and Guang-Lin Zhuo, A Hybrid Whale Optimization Algorithm for Global Optimization, Mathematics, Vol. 9, No. 13, pp. 1-19, June. 2021 (SCI期刊)
[24]
Chun-Yao Lee(李俊耀) and Truong-An Le, Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network with ResNet Structure, IEEE Access, Vol. 9, pp. 78241-78252, June. 2021 (SCI期刊)
[25]
Chun-Yao Lee(李俊耀) and Wen-Cheng Lin, Induction Motor Fault Classification Based on ROC Curve and t-SNE, IEEE Access, Vol. 9, pp. 56330-56343, April. 2021. (SCI期刊)
[26]
Chun-Yao Lee(李俊耀) and Guang-Lin Zhuo, Effective Rotor Fault Diagnosis Model Using Multilayer Signal Analysis and Hybrid Genetic Binary Chicken Swarm Optimization, Symmetry, Vol. 13, No. 3, pp. 1-19, March. 2021(SCI期刊)
[27]
Chun-Yao Lee(李俊耀) and Hong-Yi Ou, Induction Motor Multiclass Fault Diagnosis Based on Mean Impact Value and PSO-BPNN, Symmetry, Vol. 13, No. 1, pp. 1-17, Jan. 2021(SCI）
[28]
Chun-Yao Lee(李俊耀) and Maickel Tuegeh, Virtual Visualization of Generator Operation Condition Through Generator Capability Curve, Energies, Vol. 14, No. 185, pp. 1-21, Jan. 2021 (SCI期刊)
[29]
Chun-Yao Lee(李俊耀) and Truong-An Le, Optimized Approach of Feature Selection Based on Genetic and Binary State Transition Algorithm in the Classification of Bearing Fault in BLDC Motor, IET Electric Power Applications, Vol. 14, No. 13, pp. 2598 - 2608, Dec. 2020. (SCI期刊)
[30]
Chun-Yao Lee(李俊耀) and Truong-An Le, Intelligence Bearing Fault Diagnosis Model Using Multiple Feature Extraction and Binary Particle Swarm Optimization with Extended Memory, IEEE Access, Vol. 8, pp. 198343-198356, Nov. 2020 (SCI期刊)
[31]
Chun-Yao Lee(李俊耀) and Yi-Hsin Cheng, Motor Faults Detection Using Wavelet Transform and Improved PSO-BP Neural Network, Processes, Vol. 8, No.10, pp. 1-16, Oct. 2020 (SCI期刊)
[32]
Chun-Yao Lee(李俊耀) and Kuan-Yu Huang, Yi-Xing Shen, Yao-Chen Lee, Improved Weighted k-Nearest Neighbor Based on PSO for Wind Power System State Recognition, Energies, Vol. 13, No. 20, pp. 1-15, Oct. 2020 (SCI期刊)
[33]
Chun-Yao Lee(李俊耀) Kuan-Yu Huang, Lai-Yu Jen and Guang-Lin Zhuo, Diagnose of Defective Rotor Bars in Induction Motors, Symmetry, Vol. 12, No. 11, pp. 1-24, Oct. 2020 (SCI期刊)
[34]
Chun-Yao Lee(李俊耀) and Meng-Syun Wen, Establish Induction Motor Fault Diagnosis System Based on Feature Selection Approaches with MRA, Processes, Vol. 8, No.9, pp. 1-19, Aug. 2020 (SCI期刊)
[35]
Chun-Yao Lee(李俊耀) and Chang-En Wu, Short-Term Electricity Price Forecasting Based on Similar Day-Based Neural Network, Energies, Vol. 13, No.17, pp. 1-15, Aug. 2020 (SCI期刊)
[36]
Chun-Yao Lee(李俊耀) and Wen-Cheng Lin, Induction Motor Fault Classification Based on FCBF-PSO Feature Selection Method, Applied Sciences, Vol. 10, No.15, pp. 1-21, Aug. 2020 (SCI期刊)
[37]
Chun-Yao Lee(李俊耀) and Maickel Tuegeh, An Optimal Solution for Smooth and Non-smooth Cost Functions-based Economic Dispatch Problem, Energies, Vol. 13, No. 14, pp. 1-16, July 2020 (SCI期刊)
[38]
Chun-Yao Lee(李俊耀) and Maickel Tuegeh, Optimal Optimisation-based Microgrid Scheduling Considering Impacts of Unexpected Forecast Errors Due to the Uncertainty of Renewable Generation and Loads Fluctuation, IET Renewable Power Generation, Vol. 14, No. 2, pp.321-331, Feb. 2020 (SCI期刊)
[39]
Chun-Yao Lee(李俊耀), Kuan-Yu Huang, Yu-Hua Hsieh and Po-Hung Chen, Optimal Intrinsic Mode Function Based Detection of Motor Bearing Damages, Applied Sciences, Vol. 9, No. 13, July, 2019. (SCI期刊)
[40]
Chao-Rong Chen, Mu-Cheng Chen, Chih-Ju Chou, Chun-Yao Lee(李俊耀) and Chun-Chi Chen, “Promoting the Surge Immunity Techniques of An Uninterruptible Hydro Plant Power System under the Surge Environment of High Exposure,” International Journal of Electrical Power and Energy Systems, Vol. 82, pp. 274–280, Nov. 2016 (SCI期刊)
[41]
Shan-Jen Cheng, Jui-Jung Liu, Chang-Hung Hsu, Chun-Yao Lee(李俊耀), Chao-Ming Fu, and Chia-Wen Chang, “Correlation of Magnetostriction Variation on Magnetic Loss and Noise for Power Transformer,” Journal of Applied Physics, Vol. 117, No. 11, May 2015 (SCI期刊)
[42]
Chih-Ju Chou, Chun-Yao Lee(李俊耀)*, Chun-Chi Chen, “Survey of Reservoir Grounding System Defects Considering the Performance of Lightning Protection and Improved Design Based on Soil Drilling Data and Particle Swarm Optimization Technique,” IEEJ Transactions on Electrical and Electronic Engineering, Vol. 9, No. 6, pp. 605–613, Nov. 2014 (SCI期刊)
[43]
Chang-Hung Hsu, Chun-Yao Lee(李俊耀)*, Shan-Jen Cheng, Chao-Ming Fu, Chia-Wen Chang, “Effects of Magnetostriction and Magnetic Reluctances on Magnetic Properties of Distribution Transformers,” Journal of Applied Physics, Vol. 115, No. 17, May 2014 (SCI期刊)
[44]
Chang-Hung Hsu, Shan-Jen Cheng, Chun-Yao Lee(李俊耀)*, Chao-Ming Fu, Chia-Wen Chang, “Fe-based Composited Cores for Single-Phase Transformers Fabricated with High Induction Amorphous,” Journal of Applied Physics, Vol. 115, No. 17, May 2014 (SCI期刊)
[45]
Chih-Ju Chou, Chun-Yao Lee(李俊耀)*, Chun-Chi Chen, Chao-Rong Chen, Mu-Cheng Chen, “Optimal Planning of Soft Starter for Large Drain Motor Based on Simulated Annealing Method,” IEEJ Transactions on Electrical and Electronic Engineering, Vol. 9, No. 2, pp. 136-143, March 2014 (SCI期刊)
[46]
Chun-Yao Lee(李俊耀), Chih-Ju Chou*, Chun-Chi Chen, Ryan Liu, I-Hsiang Tseng and Yi-Xing Shen, “Lubrication Leakage Alarm of Wind Power Gearbox Based on K-nearest Neighbor and Back Propagation Neural Network,” Information Technology Journal, Vol. 12, No. 15, pp. 3152-3157, Dec. 2013 (EI期刊)
[47]
Chun-Yao Lee(李俊耀)*, Cheng-Chien Kuo, Ryan Liu, I-Hsiang Tseng, Lu-Chen Chang, “Detection of Gearbox Lubrication Using PSO-Based WKNN,” Measurement Science Review, Vol. 13, No. 3, pp. 108-114, June 2013 (SCI期刊)
[48]
Chang-Hung Hsu*, Chun-Yao Lee(李俊耀), Yeong-Hwa Chang, Faa-Jeng Lin, Chao-Ming Fu, Jau-Grace Lin, “Effect of Magnetostriction on the Core Loss, Noise, and Vibration of Fluxgate Sensor Composed of Amorphous Materials,” IEEE Transactions on Magnetics, Vol. 49, No. 7, pp. 3862-3865, July. 2013 (SCI期刊).
[49]
Chun-Yao Lee(李俊耀)* and Yu-Hua Hsieh, “Bearing Damage Detection of BLDC Motors Based on Current Envelope Analysis,” Measurement Science Review, Vol. 12, No. 6, pp. 290-295, Nov. 2012 (SCI期刊)
[50]
Chih-Ju Chou*, Chun-Yao Lee(李俊耀), and Chun-Chi Chen, “Evaluation of Switching Surge Risks on the Low-Voltage Auxiliary System of Frequent Start-Stop Plant,” IEEE Transactions on Power Delivery, Vol. 27, No. 4, pp. 2054-2062, Oct. 2012 (SCI期刊).
[51]
Chun-Yao Lee(李俊耀)* and Yi-Xing Shen, “Feature Analysis of Power Quality Disturbance in Smart Grid Using S- transform and TT-transform,” International Review of Electrical Engineering, Vol. 7, No. 2, pp. 4208-4220, April 2012 (SCI期刊).
[52]
Chang-Hung Hsu*, Yeong-Hwa Chang, Chun-Yao Lee(李俊耀), Chia-Shiang Yao, Yan-Lou He, Huei-Lung Chu, Chia-Wen Chang, Wei-Shou Chan, “Effects of magnetomechanical vibrations and bending stresses on three-phase three-leg transformers with amorphous cores,” Journal of Applied Physics, Vol.111, No. 7, 2012 (SCI期刊).
[53]
Chun-Yao Lee(李俊耀)* and I-Hsiang Tsen, “Oil Level Prediction of Wind Power Gearbox Based on Current Analysis,” Sensor Letters, Vol. 10, No. 5-6, pp. 1094-1098, May 2012 (SCI期刊)
[54]
Chun-Yao Lee(李俊耀)*, Yu-Hua Hsieh, Hung-Chi Lin and Yi-Xing Shen, “Faults Diagnosis System of DC Motors Based on Empirical Mode Decomposition Model,” Advanced Science Letters, Vol. 13, No 1, pp. 279-284(6), June 2012 ,
[55]
Chun-Yao Lee(李俊耀)* and Yi-Xing Shen, “Optimal Feature Selection for Power Quality Disturbances Classification,” IEEE Transactions on Power Delivery, Vol. 26, No. 4, pp. 2342-2351, Oct. 2011 (SCI期刊)
[56]
Chun-Yao Lee(李俊耀)* and Po-Hung Chen, “Lightning Recognition by Transmission Line Currents of Power System,” Energy Education Science and Technology Part A: Energy Science and Research, Vol. 28 No. 1, pp.227-238, Oct. 2011. (SCI期刊)
[57]
Chun-Yao Lee(李俊耀)*, Po-Hung Chen and Yi-Xing Shen, “Maximum Power Point Tracking (MPPT) System of Small Wind Power Generator Using RBFNN Approach,” Expert Systems with Applications, Vol. 38 No. 10, pp.12058-12065, Sept. 2011. (SCI期刊)
[58]
Cheng-Chien Kuo*, Chun-Yao Lee(李俊耀) and Yu-Chen Sheim, “Unit Commitment with Energy Dispatch Using a Computationally Efficient Encoding Structure,” Energy Conversion and Management, Vol. 52, No. 3, pp.1575-1582, March 2011. (SCI期刊).
[59]
Chun-Yao Lee(李俊耀), Hong-Chan Chang* and Chen-Ching Liu, “Emergency Dispatch Strategy Considering Remaining Lives of Transformers,” IEEE Transactions on Power Systems, Vol.22, No.4 pp.2066-2073, Nov. 2007. (SCI期刊)
[1]
中華民國發明專利，專利名稱：「變壓器殘餘生命裝置」，專利號碼：發明第I-544226號。專利日 期：2016/08/01。專利發明人：李俊耀。
[2]
中華民國發明專利。專利名稱：「電動機檢測系統及其方法」，專利號碼：發明第I-426277號。專利期 間：2014/02。專利發明人：李俊耀。
[3]
美國發明專利。專利名稱：「Rotating Electrical Machine Abnormal State Detection Method and Apparatus and Wind Driven Generating System Using the Same」，專利號碼：US8692400 B2。專利日期：2014/04。專利發明人：李俊耀。
[4]
《工程專業服務學習之成果導向教學與評量：以電機工程為例（課程籌劃與學習認證之教師手冊）》。出版日 期：2015/04。著作人：李俊耀。ISBN 978-986-5796-25-9
[5]
《再版》工程專業服務學習之成果導向教學與評量：以電機工程為例（課程籌劃與學習認證之教師手冊）。出版日 期：2016/06。著作人：李俊耀。ISBN 978-986-5796-41-9
年度
計畫名稱
委託單位
112
電機狀態監測與智能故障診斷研究 2023-08-01~2024-07-31
國科會
111
應用特徵選取改良模型之旋轉電機異常檢測技術 (2/2) 2022-08-01~2023-07-31
國科會
110
應用特徵選取改良模型之旋轉電機異常檢測技術 (1/2) 2021-08-01~2022-07-31
國科會
110
應用最佳化訊號分析及特徵選取模型之發電機異常現象實測、分析及診斷技術2021-06-01~2022-05-31
國科會
109
大型發電機組繞線局部放電現象研究運轉特性量測與分析 (2/2) 2020-08-01~2021-07-31
國科會
109
基於相關係數與適應值特徵選取模型對於旋轉電機之故障檢測 技術評估2020-06-01~2021-05-31
國科會
108
大型發電機組繞線局部放電現象研究運轉特性量測與分析 (1/2) 2019-08-01~2020-07-31
國科會
108
基於時變加速因子粒群演算法之風力發電機異常檢測 2019-06-01~2020-05-31
國科會
107
太陽能電廠之智慧型故障診斷與運維系統研製-子計畫二：運用先進感測技術於太陽能電廠電力電纜之故障診斷與運維系統研製 2018-08-01~2019-07-31
國科會
107
風力發電機電流訊號分析技術對於軸承異常判讀之應用 2018-06-01~2019-05-31
國科會
106
水力機組局部放電現象與殘餘生命估測研究 2017-08-01~2018-07-31
國科會
106
風力發電機傳動軸心偏離之故障顯示器研發 2017-06-01~2018-05-31
國科會
105
基於最佳化權重法之旋轉電機電流訊號分析模型 2016-06-01~2017-05-31
國科會
104
基於粒子群算法之抗雜訊故障電機訊號分析及辨識 2015-06-01~2016-05-31
國科會
103
基於粒子群演算法之抗噪型希爾伯特-黃轉換於旋轉電機轉子 異常之檢測(2/2) 2015-08-01~2016-07-31
國科會
103
基於粒子群演算法之抗噪型希爾伯特-黃轉換於旋轉電機轉子 異常之檢測(1/2) 2014-08-01~2015-07-31
國科會
103
風力發電機葉片角度異常檢測 2014-06-01~2015-05-31
國科會
102
電動機繞線絕緣破壞之量測與分析 2013-06-01~2014-05-31
國科會
101
基於電流訊號分析法於電動機車軸承故障檢出技術 2012-08-01~2013-07-31
國科會
100
風力機齒輪箱異常之檢出技術與暫態分析 2012-06-01~2013-05-31
國科會
100
利用電流訊號分析法於風力發電機軸承故障之檢出技術 2011-08-01~2012-07-31
國科會
99
產學合作計畫－風力發電機故障之自動辨識技術 2010-11-01~2011-10-31
國科會
99
變壓器超載控制對於變電站運轉成本之影響研究(III) 2010-08-01~2011-07-31
國科會
98
變壓器超載控制對於變電站運轉成本之影響研究(II) 2009-08-01~2010-07-31
國科會
97
變壓器超載控制對於變電站運轉成本之影響研究 2008-08-01~2009-07-31
國科會
年度
計畫名稱
委託單位