| Title |
Development of Online Monitoring System for Induction Motors |
| Authors |
Ki-Bum Kim ; Young-Woo Youn ; Don-Ha Hwang ; Jong-Ho Sun ; Tea-Uk Jung |
| DOI |
http://dx.doi.org/10.5207/JIEIE.2014.28.5.023 |
| Keywords |
Induction Motor ; Fault Diagnosis ; Current ; Vibration ; Partial Discharge |
| Abstract |
This paper presents an on-line diagnosis system for identifying health and faulted conditions in squirrel-cage induction motors using stator current, temperature, and partial discharge signals. The proposed diagnosis system can diagnose induction motor faults such as broken rotor bars, air-gap eccentricities, stator winding insulations, and bearing faults. Experimental results obtained from induction motors show that the proposed system is capable of detecting induction motor faults. |