| 研究生: |
吳宗學 Wu, Tsung-Hsueh |
|---|---|
| 論文名稱: |
輔以無線感測之馬達振動偵測及早期預警系統研製 Wireless Sensing-Aided Motor Vibration Detection and Early-Warning System Design |
| 指導教授: |
黃世杰
Huang, Shyh-Jier |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 電機工程學系碩士在職專班 Department of Electrical Engineering (on the job class) |
| 論文出版年: | 2020 |
| 畢業學年度: | 108 |
| 語文別: | 中文 |
| 論文頁數: | 35 |
| 中文關鍵詞: | 馬達運轉監控 、振動分析 、無線數據採集 |
| 外文關鍵詞: | Motor monitoring, vibration analysis, wireless data collection |
| 相關次數: | 點閱:61 下載:0 |
| 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 |
本論文旨在研製一套針對馬達進行無線振動感測及異常狀態之監控系統,此研究乃考量對於馬達之健康狀態檢測,常無法有效立即掌握,以致於一旦馬達因故障停機再行檢測維修時,不僅影響產品製造時程,甚至有工業安全之虞,故本文研發設計一套輔助監控馬達振動狀態之感測器裝置,同時結合振動數據資料採集與監控系統,有助於達到馬達早期預警功能。而為驗證所提系統之可行性,本文已完成馬達振動無線感測器及異常狀態監控系統,並實際模擬及分析馬達運轉時之振動情形,測試結果顯示本系統於馬達受到異物干擾時之不同振動強度,均能有效判別,研究成果具有應用價值。
This thesis aims to develop a system that is capable of wireless monitoring vibration and sensing abnormal state of the motor. The study is motivated because the health detection of electric motor is critically important, yet it often encounters the difficulty of grasping the operating data, leading to the delaying of manufacturing schedule and possibly jeopardizing the safety of engineers once the motor is unexpectedly shut down. In view of aforementioned problems, the study is devoted to developing an auxiliary vibration-monitoring system with the aid of wireless data transfer, by which the system is enhanced with a data acquisition system so as to form a wireless sensing-aided motor vibration-detection system. This system can be served as an early-warning for engineers. To verify the feasibility of this proposed system, the study completes a prototype with simulation and analysis through several scenarios that are concerned. Test results show that the proposed approach presents different degrees of vibrations under various interferences, owning a practical value of industry application.
[1] M. Tsypkin, “The Origin of the Electromagnetic Vibration of Induction Motors Operating in Modern Industry: Practical Experience-Analysis and Diagnostics,” IEEE Transactions on Industry Applications, Vol. 53, No. 2, pp. 1669-1676, March-April 2017.
[2] M. Campbell and G. Arce, “Effect of Motor Voltage Unbalance on Motor Vibration: Test and Evaluation,” IEEE Transactions on Industry Applications, Vol. 54, No. 1, pp. 905-911, January- February 2018.
[3] M. A. Ugwiri, I. Mpia, and A. Lay-Ekuakille, “Vibrations for Fault Detection in Electric Machines,” IEEE Instrumentation & Measurement Magazine, Vol. 23, No. 1, pp. 66-72, February 2020.
[4] M. Z. Ali, M. N. S. K. Shabbir, X. Liang, Y. Zhang, and T. Hu, “Machine Learning-Based Fault Diagnosis for Single- and Multi-Faults in Induction Motors Using Measured Stator Currents and Vibration Signals,” IEEE Transactions on Industry Applications, Vol. 55, No. 3, pp. 2378-2391, May-June 2019.
[5] S. H. Kia, H. Henao, and G. Capolino, “Gear Tooth Surface Damage Fault Detection Using Induction Machine Stator Current Space Vector Analysis,” IEEE Transactions on Industrial Electronics, Vol. 62, No. 3, pp. 1866-1878, March 2015.
[6] D. López-Pérez and J. Antonino-Daviu, “Application of Infrared Thermography to Failure Detection in Industrial Induction Motors: Case Stories,” IEEE Transactions on Industry Applications, Vol. 53, No. 3, pp. 1901-1908, May-June 2017.
[7] M. J. Picazo-Ródenas, J. Antonino-Daviu, V. Climente-Alarcon, R. Royo-Pastor, and A. Mota-Villar, “Combination of Noninvasive Approaches for General Assessment of Induction Motors,” IEEE Transactions on Industry Applications, Vol. 51, No. 3, pp. 2172-2180, May-June 2015.
[8] N. Mohamed, J. Al-Jaroodi, and S. Lazarova-Molnar, “Leveraging the Capabilities of Industry 4.0 for Improving Energy Efficiency in Smart Factories,” IEEE Access, Vol. 7, pp. 18008-18020, 2019.
[9] K. Islam, W. Shen, and X. Wang, “Wireless Sensor Network Reliability and Security in Factory Automation: A Survey,” IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), Vol. 42, No. 6, pp. 1243-1256, November 2012.
[10] P. Luong and W. Wang, “Smart Sensor-Based Synergistic Analysis for Rotor Bar Fault Detection of Induction Motors,” IEEE/ASME Transactions on Mechatronics, Vol. 25, No. 2, pp. 1067-1075, April 2020.
[11] E. Hashish, K. Miller, W. Finley, and S. Kreitzer, “Vibration Diagnostic Challenges: Case Studies in Electric Motor Applications,” IEEE Industry Applications Magazine, Vol. 23, No. 4, pp. 22-34, July-August 2017.
[12] M. Tsypkin, “Induction Motor Condition Monitoring: Vibration Analysis Technique - A Practical Implementation,” IEEE International Electric Machines & Drives Conference (IEMDC), pp. 406-411, Niagara Falls, Canada, May 2011.
[13] ISO10816, Mechanical Vibration - Evaluation of Machine Vibration by Measurements on Non-Rotating Parts - Part 1: General Guidelines, 1995.
[14] H. Kuemmlee, T. Gross, and J. Kolerus, “Machine Vibrations and Diagnostics the World of ISO,” Industry Applications Society,60th Annual Petroleum and Chemical Industry Conference, pp.1-13, Chicago, America, September 2013.
[15] N. Nikolov and O. Nakov, “Research of Communication Between IoT Cloud Structure, Android Application and IoT Device Using TCP Sockets,” National Conference with International Participation (ELECTRONICA), pp. 1-4, Sofia, Bulgaria, May 2019.
[16] R. A. Nathi and D. Sutar, “Object Secured TCP Socket for Remote Monitoring IoT Devices,” 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp.1-5, Kanpur, India, July 2019.
[17] ATmega328-PU Datasheet, Microchip Technology Incorporation, 2015.
[18] ATSAMD21G18 Datasheet, Microchip Technology Incorporation, 2014.
校內:2025-07-13公開