簡易檢索 / 詳目顯示

研究生: 呂顥
Hau Lu
論文名稱: 永磁同步馬達傳動異常與能源績效之量測與分析
Measurement and Analysis on the Transmission Condition and Energy Performance of PMSM
指導教授: 劉孟昆
Meng-Kun Liu
藍振洋
Chen-yang Lan
口試委員: 藍振洋
Chen-yang Lan
張以全
I-Tsyuen Chang
學位類別: 碩士
Master
系所名稱: 工程學院 - 機械工程系
Department of Mechanical Engineering
論文出版年: 2022
畢業學年度: 110
語文別: 中文
論文頁數: 99
中文關鍵詞: 永磁式同步馬達馬達電流特徵分析傳動異常能源績效分析
外文關鍵詞: permanent magnet synchronous motor, transmission abnormality, motor current characteristic analysis, energy performance analysis
相關次數: 點閱:250下載:2
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 節能減碳是目前國際相當關注的議題,為了能更好的管理工廠用電,經濟部也推動工廠取得ISO 50001能源管理系統認證,讓能源能得到更好的掌控。其中馬達轉動設備是現代化工廠中不可或缺的存在,用電佔比高達了70%左右,馬達的用電也成為管控的重要一環,尤其預防轉動設備異常故障時所連帶影響的停工損失更是重要。既然要能預防馬達損壞,又要能監控馬達的能耗,因此,本研究結合馬達電流特徵分析與能源績效分析,進行永磁同步馬達的三種傳動元件的電流訊號式異常診斷,並比較健康齒輪、輕微損壞、嚴重損壞以及潤滑油缺失的能源績效。根據量測到的驅動端與負載端數據顯示,嚴重異常與潤滑油缺失在電流式分析可以觀察到異常特徵,同時也可以發現嚴重異常時會額外耗能1.5%,以及潤滑油缺失時會額外耗能4.5%。齒輪在輕微異常時雖可以在電流頻譜上看到異常特徵,但是能源績效上卻難以判斷。此外在皮帶與鏈輪的分析上,異常特徵與能源績效是無法做出明確判斷。


    nergy conservation and carbon reduction is a topic of considerable international concern at present. In order to better manage the power consumption of factories, the Ministry of Economic Affairs has also promoted factories to obtain ISO 50001 energy management system certification, so that energy can be better controlled. Among them, motor rotating equipment is an indispensable existence in modern factories, and the proportion of electricity consumption is as high as 70%. Electricity consumption of motors has also become an important part of control, especially to prevent the loss of downtime caused by abnormal failure of rotating equipment. more important. Since it is necessary to prevent motor damage and monitor the energy consumption of the motor, this study proposes to combine the current signal analysis and energy performance analysis to carry out abnormal diagnosis and energy consumption analysis of permanent magnet synchronous motor with three transmission components, and analyze the energy consumption of the motor. The abnormal analysis results of the current signal analysis are combined with the energy consumption analysis results. Compare gears for healthy, minor damage, severe damage, and lack of lubricant. Use MCSA and energy performance analysis based on the measured drive-side and load-side data. Serious anomalies and lack of lubricating oil can see abnormal characteristics in the amperometric analysis, and it can also be seen that an additional 1.5% of energy is consumed in severe anomalies, and an additional 4.5% of energy is consumed when lubricating oil is missing. When the gear is slightly abnormal, abnormal characteristics can be seen in the MCSA, but it is difficult to judge the energy performance. In the analysis of belts and sprockets, abnormal characteristics and energy performance cannot be judged.

    摘要 I Abstract II 致謝 III 目錄 IV 圖目錄 VII 表目錄 IX 第一章 緒論 1 1.1 前言與研究背景 1 1.2 研究動機 2 1.3 文獻回顧 3 1.4 論文架構 5 第二章 研究方法 6 2.1 齒輪故障 6 2.2 皮帶故障 7 2.3 鏈輪故障 8 2.4 傅立葉轉換 9 2.5 能源績效 9 第三章 實驗設計 11 3.1 實驗架構 11 3.1.1. 驅動端與負載端馬達 12 3.1.2. 資料擷取設備 13 3.1.3. 負載馬達端消耗電阻 15 3.2 傳動元件 15 3.2.1. 齒輪 15 3.2.2. 皮帶 17 3.2.3. 鏈輪 18 3.3 傳動異常實驗設計 19 3.3.1. 齒輪異常實驗設計 19 3.3.2. 皮帶異常實驗設計 23 3.3.3. 鏈輪異常實驗設計 25 3.4 能耗實驗規劃 26 第四章 實驗分析與結果討論 28 4.1 齒輪故障 28 4.1.1. 齒輪A 輕度損壞、嚴重損壞 28 4.1.2. 齒輪B 潤滑油缺失 31 4.1.3. 齒輪D 輕度損壞 34 4.2 皮帶故障 35 4.3 鏈輪故障 38 4.3.1. 鏈輪A 缺齒 39 4.3.2. 鏈輪B 輕微齒裂 40 4.3.3. 鏈輪C 鏈條偏移 42 4.4 能源績效 43 4.4.1. 齒輪損壞能耗分析 43 4.4.2. 皮帶損壞能耗分析 50 4.4.3. 鏈輪損壞能耗分析 54 第五章 結論與未來展望 61 5.1 結果結論 61 5.2 研究貢獻 63 5.3 未來發展 63 參考文獻 65

    [1] 經濟部能源局, “2021生產性質能源查核年報”, 工業節能服務網, 2021
    [2] 廖偉辰, “台灣工業部門減碳潛力分析”, 核能研究所, 2021
    [3] P. Waidei and C. U. Brunner. “Energy-Efficiency Policy Opportunities for Electric Motor Driven System”. IEA, 2011.
    [4] K. Szajdzicki and K. Szajdzicki, "Measuring & maintaining energy efficiency: SMART approach to implementing ISO 50001," 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2017, pp. 1-5, doi: 10.1109/EEEIC.2017.7977657.
    [5] M. Swiatek and F. Imbault, "Better energy management by implementing an energy measurement and monitoring plan," 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2017, pp. 1-4, doi: 10.1109/EEEIC.2017.7977612.
    [6] S. B. Aleksandr, A. Y. Sergey, S. S. Aleksandr, F. S. Aleksandr and M. B. Galina, "Implementation of ISO 50001 standard in the activities of energy companies," 2021 International Conference on Electrotechnical Complexes and Systems (ICOECS), 2021, pp. 417-420, doi: 10.1109/ICOECS52783.2021.9657231.
    [7] T. Javied, J. Bakakeu, D. Gessinger and J. Franke, "Strategic energy management in industry 4.0 environment," 2018 Annual IEEE International Systems Conference (SysCon), 2018, pp. 1-4, doi: 10.1109/SYSCON.2018.8369610.
    [8] G. P. Sullivan, R. Pugh, A. P. Melendez and W. D. Hunt. “Operations and Maintenance Best Practice”. U.S. Department of Energy, 2010.
    [9] G. Singh, T. Anil Kumar and V. Naikan, "Efficiency monitoring as a strategy for cost effective maintenance of induction motors for minimizing carbon emission and energy consumption", Reliability Engineering & System Safety, vol. 184, pp. 193-201, 2019. Available: 10.1016/j.ress.2018.02.015.
    [10] A. Usman, N. T. Doiphode and B. S. Rajpurohit, "Stator Winding Faults investigation in Permanent Magnet Synchronous Motor using Motor Signatures: Part I," 2019 International Conference on Electrical Drives & Power Electronics (EDPE), 2019, pp. 160-168, doi: 10.1109/EDPE.2019.8883929.
    [11] 田恆泰, ”永磁同步馬達故障診斷之電流訊號特徵分析”碩士論文, 國立台灣科技大學, 2020
    [12] N. Mehala and R. Dahiya (2007). Motor Current Signature Analysis and its Applications in Induction Motor Fault Diagnosis. International journal of systems Applications, Engineering & Development, 2, 29-35.
    [13] Z. Gao, C. Cecati and S. X. Ding, "A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches," in IEEE Transactions on Industrial Electronics, vol. 62, no. 6, pp. 3757-3767, June 2015, doi: 10.1109/TIE.2015.2417501.
    [14] J. -L. Jiang, H. -C. Chang and C. -C. Kuo, "Operating Monitoring and Fault Types Classification for Motors through Vibration Signal," 2016 International Symposium on Computer, Consumer and Control (IS3C), 2016, pp. 61-64, doi: 10.1109/IS3C.2016.26.
    [15] Z. Gao, C. Cecati and S. X. Ding, "A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part II: Fault Diagnosis With Knowledge-Based and Hybrid/Active Approaches," in IEEE Transactions on Industrial Electronics, vol. 62, no. 6, pp. 3768-3774, June 2015, doi: 10.1109/TIE.2015.2419013.
    [16] T.Surveillance, “INTERNATIONAL STANDARD Condition monitoring and diagnostics qualification and assessment of,” vol. 2014, 2014.
    [17] N. Mehla and R. Dahiya, “An approach of condition monitoring of induction motor using MCSA”, International journal of systems applications, Engineering and development, 1(1), 13-17, 2007.
    [18] K. S. Gaeid, H. W. Ping, M. Khalid & A. L. Salih, “Fault diagnosis of induction motor using MCSA and FFT”, Electrical and Electronic Engineering, 1(2), 85-92, 2011
    [19] X. Song, Z. Wang and J. Hu, "Detection of Bearing Outer Race Fault in Induction Motors using Motor Current Signature Analysis," 2019 22nd International Conference on Electrical Machines and Systems (ICEMS), 2019, pp. 1-5, doi: 10.1109/ICEMS.2019.8922036.
    [20] J. Pons-Llinares, J. A. Antonino-Daviu, M. Riera-Guasp, S. Bin Lee, T. Kang and C. Yang, "Advanced Induction Motor Rotor Fault Diagnosis Via Continuous and Discrete Time–Frequency Tools," in IEEE Transactions on Industrial Electronics, vol. 62, no. 3, pp. 1791-1802, March 2015, doi: 10.1109/TIE.2014.2355816.
    [21] J. A. Antonino-Daviu, M. Riera-Guasp, M. Pineda-Sanchez and R. B. Perez, "A Critical Comparison Between DWT and Hilbert–Huang-Based Methods for the Diagnosis of Rotor Bar Failures in Induction Machines," in IEEE Transactions on Industry Applications, vol. 45, no. 5, pp. 1794-1803, Sept.-oct. 2009, doi: 10.1109/TIA.2009.2027558.
    [22] J. Rosero, J. L. Romeral, J. Cusido, J. A. Ortega and A. Garcia, "Fault detection of eccentricity and bearing damage in a PMSM by means of wavelet transforms decomposition of the stator current," 2008 Twenty-Third Annual IEEE Applied Power Electronics Conference and Exposition, 2008, pp. 111-116, doi: 10.1109/APEC.2008.4522708.
    [23] D. Zogg, E. Shafai and H. Geering, "Fault diagnosis for heat pumps with parameter identification and clustering", Control Engineering Practice, vol. 14, no. 12, pp. 1435-1444, 2006. Available: 10.1016/j.conengprac.2005.11.002.
    [24] 張書慈, ”永磁同步馬達參數識別及模型式故障檢知”碩士論文, 國立台灣科技大學, 2020
    [25] 徐維廷, ”基於啟發式演算法於感應馬達系統識別及故障偵測”碩士論文, 國立台灣科技大學, 2020
    [26] F. Çira, M. Arkan and B. Gümüş, "A new approach to detect stator fault in permanent magnet synchronous motors," 2015 IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Guarda, 2015.
    [27] 小栗富世雄、小栗達男共著,劉鼎嶽總審訂,標準機械設計圖表便覽 [最新增訂五版],眾文圖書,台北市,2017.
    [28] S. Abusaad, K. Brethee, M. Assaeh, R. Zhang, F. Gu1 and A.D. Ball (2015). The detection of lubricating oil viscosity changes in gearbox transmission systems driven by sensorless variable speed drives using electrical supply parameters. Journal of Physics: Conference Series. 628. 10.1088/1742-6596/628/1/012078.
    [29] K. Michaelis, B. Hoehn, and M. Hinterstoisser (2011). Influence factors on gearbox power loss. Industrial Lubrication and Tribology. 63. 46-55. 10.1108/00368791111101830.
    [30] S. Rajagopalan, T. Habetler, R. Harley, T. Sebastian and B. Lequesne, "Current/Voltage-Based Detection of Faults in Gears Coupled to Electric Motors", IEEE Transactions on Industry Applications, vol. 42, no. 6, pp. 1412-1420, 2006. Available:10.1109/tia.2006.882636.
    [31] T. Kang, C. Yang, Y. Park, S. B. Lee and M. Teska, "Electrical monitoring of mechanical defects in induction motor driven V-belt-pulley speed reduction couplings," 2017 IEEE Energy Conversion Congress and Exposition (ECCE), 2017, pp. 293-300, doi: 10.1109/ECCE.2017.8095795.
    [32] 吳伯彥, ”永磁同步馬達傳動異常知模型式故障診斷”碩士論文, 國立台灣科技大學, 2021
    [33] 劉孟昆 教授, ”非線性訊號處理”上課講義, 國立台灣科技大學,2020

    無法下載圖示 全文公開日期 2024/09/21 (校內網路)
    全文公開日期 2024/09/21 (校外網路)
    全文公開日期 2024/09/21 (國家圖書館:臺灣博碩士論文系統)
    QR CODE