感應馬達所驅動之轉動設備，在設備有異常狀況下，將產生更多的振動與溫升，或許導致設備運轉時需要消耗更多的能量。本文以實驗方式來探討設備在相同負載輸出下，正常設備與異常設備的輸入能量差異來驗證是否能耗會上升，且量化值為多少。
本文中比較轉子導體條損壞、馬達水平歪斜偏心、電蝕損壞軸承、軸承內環損壞、軸承外環損壞、轉子質心偏移、繞線損壞導致三相阻抗不平衡、供電設備異常造成三相電壓不平衡和馬達內轉子靜態偏移所導致的額外能耗。且為了從訊號上瞭解這些異常狀態的馬達模型是否達到預期的結果，因此透過感測器來量測馬達運作時的電流電壓訊號和振動訊號來與正常狀態的訊號做比較。
本研究先整理了感應馬達相關之異常狀態的模型，討論其物理意義與訊號之頻率域上的表現。許多研究探討著利用馬達電流訊號分析(Motor Current Signal Analysis，MCSA)方式區別正常馬達與異常馬達的電流訊號，以提供三相感應馬達初期損壞的判斷準則。旋轉設備中，常因長時間運轉而導致馬達內部零件可能產生一些故障，並量測其運轉過程中的電流幅值變化，以了解馬達故障時為何種零件產生損壞。因此藉由製造一些異常馬達模式，觀察其電流時間域、頻率域的訊號表現。且更加了解異常馬達其產生能耗量化值是否會造成成本上升，以進行早期維修與保養來降低成本。因此，藉由馬達操作保養作為，排除轉動設備早期異常，維持轉動設備運轉效率，避免因異常導致的額外能耗，將可達到節能減碳的效果。

The rotating equipment driven by the induction motor generates excessive vibration and heat under abnormal conditions, causing more energy to be consumed during the operation. This research discussed the energy consumption between the rotating equipment operated in the normal and abnormal conditions. The excessive energy consumption of broken rotor bar, stator mass deviation, electrical discharged bearing, inner ring defect, outer ring defect, rotor mass unbalance, three phase resistance unbalance caused by stator winding damage, three phase voltage unbalance caused by abnormal power supply, and misalignment were discussed. To validate the motor fault conditions, vibration, current and voltage signals were measured and compared.
This study firstly explored papers of the induction motor faults and discussed their physical meaning and performance in the frequency domain of the signal. Many studies have explored the use of Motor Current Signal Analysis (MCSA) to distinguish current signals from normal and abnormal motors to provide criteria for determining the initial damage of a three-phase induction motor. In the rotating equipment, the internal parts of the motor may often cause some faults due to long-term operation, and the current amplitude changes during operation are measured to find out which parts are damaged when the motor fails. Therefore, by making some abnormal motor modes, the signal performance of the current in the time domain and the frequency domain was observed. In addition, the quantification of the energy consumption due to the abnormality could be used to determine the overall cost and the schedule to conduct maintenance. Therefore, the maintenance of the motor can eliminate the early abnormality of the rotating equipment, maintain the operating efficiency of the rotating equipment, and avoid the extra energy consumption caused by the abnormality, thereby achieving the effect of energy conservation and carbon reduction.

[1] Douglas, Hugh, Pragasen Pillay, and Alireza K. Ziarani. "A new algorithm for transient motor current signature analysis using wavelets." IEEE Transactions on industry applications 40.5 (2004): 1361-1368.
[2] Sharifi, Rasool, and Mohammad Ebrahimi. "Detection of stator winding faults in induction motors using three-phase current monitoring." ISA transactions 50.1 (2011): 14-20.
[3] Garcia-Ramirez, A. G., et al. "Thermographic technique as a complement for MCSA in induction motor fault detection." Electrical Machines (ICEM), 2014 International Conference on. IEEE, 2014.
[4] Ye, Zhongming, Bin Wu, and Alireza Sadeghian. "Current signature analysis of induction motor mechanical faults by wavelet packet decomposition." IEEE transactions on industrial electronics 50.6 (2003): 1217-1228.
[5] Lu, Bin, David B. Durocher, and Peter Stemper. "Predictive maintenance techniques." IEEE Industry Applications Magazine15.6 (2009).
[6] 王運銘，[能源報導-高效率馬達，節能減碳又省錢]，第3頁，新玩創意文化事業有限公司，台北，台灣，2014
[7] G.P. Sullivan, R. Pugh, A.P. Melendez, W.D. Hunt, “Operations & Maintenance Best Practices A Guide to Achieving Operational Efficiency”, Release 3.0, Federal Energy Management Program, U.S. Department of Energy
[8] "Replace V-Belt with Notched or Synchronous Belt Drives." Motor Systems Tip Sheet #5, Energy Tips: Motor Systems, Advanced Manufacturing Office, U.S. Department of Energy.
[9] "Eliminate Voltage Unbalance." Motor Systems Tip Sheet #7, Energy Tips: Motor Systems, Advanced Manufacturing Office, U.S. Department of Energy.
[10] Harlişca, C., et al. "Broken Rotor Bars Detection in Squirrel-Cage Induction Machines by Motor Current Signature Analysis Method." Scientific Bulletin of the Electrical Engineering Faculty17.3 (2011): 20-25.
[11] 張正敏.(2011).https://www.youtube.com/watch?v=KDoOgd2-xpw
[12] Welsh, Mark Steven. Detection of broken rotor bars in induction motors using stator current measurements. Diss. 1988.
[13] Miljković, Dubravko. "Brief review of motor current signature analysis." HDKBR INFO Magazin 5.1 (2015): 14-26.
[14] Shaeboub, Abdulkarim, et al. "Detection and diagnosis of compound faults in induction motors using electric signals from variable speed drives." Automation and Computing (ICAC), 2016 22nd International Conference on. IEEE, 2016.
[15] Eltabach, Mario, Ali Charara, and Isamil Zein. "A comparison of external and internal methods of signal spectral analysis for broken rotor bars detection in induction motors." IEEE Transactions on Industrial Electronics 51.1 (2004): 107-121.
[16] Mobley, R. Keith. Vibration fundamentals. Elsevier, 1999.
[17] Hong, Jongman, et al. "Offline monitoring of airgap eccentricity for inverter-fed induction motors based on the differential inductance." IEEE Transactions on Industry Applications 49.6 (2013): 2533-2542.
[18] Schoen, Randy R., et al. "Motor bearing damage detection using stator current monitoring." IEEE transactions on industry applications 31.6 (1995): 1274-1279.
[19] Blodt, Martin, et al. "Models for bearing damage detection in induction motors using stator current monitoring." IEEE transactions on industrial electronics 55.4 (2008): 1813-1822.
[20] ISO 1940-1.(2003).https://www.iso.org/standard/27092.html
[21] Diouf, Papa, and Walt Herbert. "Understanding rotor balance for electric motors." Pulp and Paper Industry Technical Conference, Conference Record of 2014 Annual. IEEE, 2014.
[22] Mehla, Neelam, and Ratna Dahiya. "An approach of condition monitoring of induction motor using MCSA." International journal of systems applications, Engineering and development 1.1 (2007): 13-17.
[23] 機械工業出版社E視界.(2016).https://kknews.cc/news/xpnk3o.html
[24] "Eliminate Voltage Unbalance." Motor Systems Tip Sheet #7, Energy Tips: Motor Systems, Advanced Manufacturing Office, U.S. Department of Energy.
[25] Von Jouanne, Annette, and Basudeb Banerjee. "Assessment of voltage unbalance." IEEE transactions on power delivery 16.4 (2001): 782-790.
[26] Pietrowski, Wojciech. "Application of Radial Basis Neural Network to diagnostics of induction motor stator faults using axial flux." Electrical Review 87.6 (2011): 190-192.
[27] Ourici, Amel, and Ahmed Ouari. "Park’s Vector Approach to detect an inter turn stator fault in a doubly fed induction machine by a neural network." World Academy of Science, Engineering and Technology, International Journal of Mechanical and Mechatronics Engineering 1.12 (2014).
[28] Huang, Xianghui. Diagnotics of Air Gap Eccentricity in Closed-Loop Drive-Connected Induction Motors. Diss. Georgia Institute of Technology, 2005.
[29] Esfahani, Ehsan Tarkesh, Shaocheng Wang, and V. Sundararajan. "Multisensor wireless system for eccentricity and bearing fault detection in induction motors." IEEE/ASME Transactions on Mechatronics 19.3 (2014): 818-826.
[30] Pandey, K. K., P. H. Zope, and S. R. Suralkar. "Review on fault diagnosis in three-phase induction motor." MEDHA–2012, Proceedings published by International Journal of Computer Applications (IJCA) (2012).
[31] Nandi, Subhasis, Hamid A. Toliyat, and Xiaodong Li. "Condition monitoring and fault diagnosis of electrical motors—A review." IEEE transactions on energy conversion 20.4 (2005): 719-729.
[32] Circuit Globe.https://circuitglobe.com/two-wattmeter-method-of-power-measurement.html
[33] Jacob, Anju, Victor Jose, and Dona Sebastian. "Energy Management by Online Efficiency Estimation and Condition Monitoring of Induction Motor."