隨著經濟持續蓬勃發展，工業自動化技術水平日益提昇，其中馬達扮演電機設備安全運轉的重要核心角色，因此，馬達的健康狀態將直接影響工廠的運作，一旦發生無預警的故障或停止運作，不僅令整個產線停擺造成巨大的經濟損失，甚至危及人員生命安全。傳統的設備檢修是採取定期對機具進行拆卸式的維護及清潔，雖然可減少意外的發生，但耗費大量的資源，且無法即時得知馬達的故障前兆，防患故障於未然。因此，若使用非拆卸的方式進行預防性檢測，即時掌握馬達運轉的狀況和使用情形，方可有效提升設備運作的可靠度。本研究旨在研製一套低成本感應電動機狀態監測平台，使用業界先進的ARM CortexTM-M4核心之微控制器，植入即時作業系統，使用電壓、電流感測器與三軸加速規分別擷取電氣訊號與振動訊號，接著將振動訊號進行積分運算，將分析結果顯示於觸控螢幕上，以圖形的方式讓使用者即時得知馬達當前運轉的狀態，並可透過網路通訊將原始量測資料傳遞至遠端，以利使用者透過個人電腦接收資料進行更精確的診斷處理。本研究已成功研製感應電動機狀態監測平台，也經實地現場量測，分析結果與工業級電腦相較，其誤差值在合理的範圍內，成功驗證本監測平台實際運用之可行性。

As the growth of automated industrial technologies, the level of industrial automation technology has been increasing day by day. Motors have played the main role of safe operation for electrical equipments. Thus, normal motor equipment operation will directly influence the operations of various factories. However, unexpected motor malfunction will cause factory operations to cease, which results in severe financial losses and even operator safety hazard. Traditional motor equipment is maintained by periodic time-based scheduling through motor detachment and consuming lots of resources although it could reduce accidents. However, motor malfunction cannot be detected in advance to troubles. Thus, preventive fault detection using the motor condition monitoring system can not only better understand the operation status of motors but also effectively enhance operational reliability. In this study, an Induction Motor Condition Monitoring Platform(abbreviated IMCMP) is developed, which uses the industry-leading micro-controller ARM Cortex™-M4, and implant the real-time system, In addition, the proposed platform uses voltage sensor, current sensor and the triaxial accelerometer to capture the electrical signals and vibration signals respectively. Then, vibration signal was integrated and the analytic results were displayed graphically in real time on touch-screen to provide users the results of current operation status of the motor. Furthermore, motor could convey the raw measurement data to the remote station. User could receive more accurate analysis information and, diagnosis results on personal computer through the TCP/IP Communication Protocol. To verify the effectiveness of the developmented IMCMP, field test results obtained from the proposed platform and commercial industry computer are compared, which show a good agreement in measurement accuracy.

[1]Thomson, W.T. and Fenger, M.,“Current signature analysis to detect induction motor faults,”IEEE Industry Applications Magazine, Vol. 7, No. 4, pp. 26-34, 2001.
[2]黃玉龍，「應用電氣分析法於馬達線上狀態監視系統之研製」，碩士論文，台灣科技大學電機工程學系，2013年。
[3]Tsypkin, M., “Induction motor condition monitoring: vibration analysis technique- A twice line frequency component as a diagnostic tool,” IEEE International Electric Machines & Drives Conference (IEMDC), 2013, pp. 117-124.
[4]古峰昌，「多功能局部放電分析儀之研製及其應用」，博士論文，台灣科技大學電機工程學系，2013年。
[5]Puche- Panadero, R., Roger- Folch, J., Riera- Guasp, M., Roger-Folch, J., Hurtado- Perez, E., and Perez- Cruz, J.,“Improved resolution of the MCSA method via hilbert transform, Enabling the diagnosis of rotor asymmetries at very low slip,”IEEE Transactions on Energy Conversion, Vol. 24, No. 1, pp. 52-59, 2009.
[6]Gongora, W.S., Silva, H.V.D., Goedtel, A., Godoy, W.F. and da Silva, S.A.O., “Neural approach for bearing fault detection in three phase induction motors,” IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013, pp. 566-572.
[7]Santanu Das,P. Purkait,S. Chakravorti, “Characterization of short circuit faults and incipient insulation degradation between stator winding turns of induction motor,” Condition Assessment Techniques in Electrical Systems (CATCON), 2013 IEEE 1st International Conference, pp. 54-59, 2013.
[8]Thomson, W.T., “On- line MCSA to diagnose shorted turns in low voltage stator windings of 3- phase induction motors prior to failure,” IEEE International Electric Machines and Drives Conference, 2001, pp. 891-898.
[9]Sridhar. S,K.UmaRao, “Detection of simultaneous unbalanced under-voltage and broken rotor fault in induction motor,” Condition Assessment Techniques in Electrical Systems (CATCON), 2013 IEEE 1st International Conference, pp. 48-53, 2013.
[10]Li, B. and Hung, J.C., “Neural- network-based motor rolling bearing fault diagnosis,” IEEE Transactions on Industrial Electronics, Vol. 47, No. 5, pp. 1060-1069, 2000.
[11]Schoen, R.R., Habetler, T.G., Kamran, F. and Bartfield, R.G., “Motor bearing damage detection using stator current monitoring,” IEEE Transactions on Industry Applications, Vol. 31, No. 6, pp. 1274-1279, 1995.
[12]Sridhar, S., Rao, K.U., “Detection of simultaneous unbalanced under-voltage and broken rotor fault in induction motor,” Condition Assessment Techniques in Electrical Systems (CATCON), pp. 48- 53, 2013.
[13]Akin, B., Seungdeog Choi, Orguner, U. and Toliyat, H.A. , “A simple real-time fault signature monitoring tool for motor-drive-embedded fault diagnosis systems,” IEEE Transactions on Industrial Electronics, Vol. 58, No. 5, pp. 1990-2001, 2011.
[14]STMicroelectronics,“STM32F4x7-Datasheet,“June 2013,
http://www.st.com/web/catalog/mmc/FM141/SC1169/SS1577/LN11
[15]Hongbin Gao, Yukun Liu, Liwei Guo, “Implementation of an embedded induction motor test and analysis system,” 2011 International Conference on Consumer Electronics, Communications and Networks (CECNet), pp. 1328-1331, 16-18 April 2011.
[16]邵貝貝，嵌入式實時操作系統uC/OS-Ⅲ，北京:北京航空航天大學出版社，2012年01月。
[17]ISSI, “IS61WV102416BLL-10TL-Datasheet, ” Feb 2015,
http://www.issi.com/US/Index.shtml
[18]SanDisk, “SD card-Datasheet, ” Feb 2015,
http://www.sandisk.com.tw/products/memory-cards/sd/
[19]DAVICOM, “DM9000A-Datasheet, ” Mar 2015,
http://www.davicom.com.tw/page1.aspx?no=143761
[20]IMI SENSORS A PCB PIEZOTRONICS DIV., “Precision Triaxial Industrial ICP® Accelerometer Installation and Operating Manual,” June 2013,
http://www.directindustry.com/prod/imi-sensors/triaxial-accelerometers-111589-1115647.html
[21]孫宗曉，運算放大器權威指南，人民電郵出版社，2014年。
[22]黃立彬，「馬達運轉狀態監測系統之研製」，碩士論文，台灣科技大學電機工程學系，2014年。
[23]Bilal Akin, Umut Orguner, “A Simple Real-Time Fault Signature Monitoring Tool for Motor-Drive-Embedded Fault Diagnosis Systems,” IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, Vol. 58, NO. 5, MAY 2011.
[24]李宜達，數位信號處理-從設計到實現，全華科技圖書股份有限公司，2005年。
[25]Yeary, M.B. , Griswold, N.C., “Adaptive IIR filter design for single sensor applications,” Transactions on Instrumentation and Measurement, Vol. 51, no. 2, 2002.
[26]ISO/IEC 7498-1, “Information technology - Open Systems Interconnection - Basic Reference Model: The Basic Model,” 1996.
[27]Craig Hunt, TCP/IP Network Administration, Oreilly & Associates Inc, 2002.
[28]陳常侃、王鵬華、丁建均，離散時間訊號處理，全華科技圖書股份有限公司，2011年。
[29]廖義奎，ARM Cortex-M4嵌入式實戰開發精解，北京:北京航空航天大學出版社，2013年。
[30]Yukun Liu, LiweiGuo, QixiangWang, GuoqingAn, MingGuo, HaoLian, “Application to induction motor faults diagnosis of the amplitude recovery method combined with FFT,” Mechanical Systems and Signal Processing, Vol. 24, pp.2961-2971, November 2010.
[31]徐子權，「電氣與振動檢測法於馬達狀態評估之研究」，碩士論文，台灣科技大學電機工程學系，2014年。
[32]National Instrument, “NI PMA-1115 Portable PXI LCD Monitor and Keyboard Accessory,” June 2013,
http://sine.ni.com/nips/cds/view/p/lang/en/nid/204583.