Motor Gear Fault Diagnosis by Current, Noise and Vibration on AC Machine Considering Environment

Lots of motors have been being used in industry. Therefore many researchers have studied about the failure diagnosis of motors. In this paper, the effect of measuring environment for diagnosis of gear fault connected to a motor shaft is studied. The fault diagnosis is executed through the comparison of normal gear and abnormal gear. The measured FFT data are compared with the normal data and analyzed for q-axis current, noise and vibration. For bad and good environment, the diagnosis results are compared. From these, it is shown that the bad measuring environment may not be able to detect exactly the motor gear fault. Therefore it is emphasized that the measuring environment should be carefully prepared.

Authors:

• Sun-Ki Hong
• Ki-Seok Kim
• Yong-Ho Cho

Keywords:

• Motor fault
• Diagnosis
• FFT
• Vibration
• Noise
• q-axis current
• measuring environment.

References:

[1] Xiu Li Zeng, “Design and emulate on motor fault diagnosis system”,
IEEE Visionary Conference, CCTAE, p263-266, 2010.
[2] B. Akin, et. “A simpler real-time fault signature monitoring tool for
motor-drive-embedded fault diagnosis systems”, IEEE Trans. On
Industrial. Electronics, Vol.48, No.5, pp.1990-2001, May 2011.
[3] Sun-Ki Hong, “Analysis of 3phase Induction Motor Considering Current
Regulator Using DQ Transformation with Matrix Vector”, Journal of
ICEMS, pp. 116-120, 2014.
[4] K. Hur, R. Lorenz, N. Nagel., “Gear fault diagnostics integrated in the
motion servo drive for electromechanical actuators”, IEEE Trans. on IA,
Vol. 48, No.1, pp.142-150, Jan./Feb., 2003
[5] Yoo-Chung Na, Sun-Ki Hong, “Measurements of Motor Characteristics
including Vibrations to Detect Motor Failures”, ICEMS, pp.1703-1706,
2014.