{"title":"Motor Gear Fault Diagnosis by Current, Noise and Vibration on AC Machine Considering Environment","authors":"Sun-Ki Hong, Ki-Seok Kim, Yong-Ho Cho","volume":104,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":949,"pagesEnd":954,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10002586","abstract":"Lots of motors have been being used in industry.\r\nTherefore many researchers have studied about the failure diagnosis of\r\nmotors. In this paper, the effect of measuring environment for\r\ndiagnosis of gear fault connected to a motor shaft is studied. The fault\r\ndiagnosis is executed through the comparison of normal gear and\r\nabnormal gear. The measured FFT data are compared with the normal\r\ndata and analyzed for q-axis current, noise and vibration. For bad and\r\ngood environment, the diagnosis results are compared. From these, it\r\nis shown that the bad measuring environment may not be able to detect\r\nexactly the motor gear fault. Therefore it is emphasized that the\r\nmeasuring environment should be carefully prepared.","references":"[1] Xiu Li Zeng, \u201cDesign and emulate on motor fault diagnosis system\u201d,\r\nIEEE Visionary Conference, CCTAE, p263-266, 2010.\r\n[2] B. Akin, et. \u201cA simpler real-time fault signature monitoring tool for\r\nmotor-drive-embedded fault diagnosis systems\u201d, IEEE Trans. On\r\nIndustrial. Electronics, Vol.48, No.5, pp.1990-2001, May 2011.\r\n[3] Sun-Ki Hong, \u201cAnalysis of 3phase Induction Motor Considering Current\r\nRegulator Using DQ Transformation with Matrix Vector\u201d, Journal of\r\nICEMS, pp. 116-120, 2014.\r\n[4] K. Hur, R. Lorenz, N. Nagel., \u201cGear fault diagnostics integrated in the\r\nmotion servo drive for electromechanical actuators\u201d, IEEE Trans. on IA,\r\nVol. 48, No.1, pp.142-150, Jan.\/Feb., 2003\r\n[5] Yoo-Chung Na, Sun-Ki Hong, \u201cMeasurements of Motor Characteristics\r\nincluding Vibrations to Detect Motor Failures\u201d, ICEMS, pp.1703-1706,\r\n2014.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 104, 2015"}