This induction motor on-line diagnosis system is developed to identifying various electrical and mechanical defects in low-voltage motors using current and vibration signals. A diagnosis algorithm is applied in the system to increase the accuracy of diagnosis. The system can minimize the effect of unexpected failures related with motor itself as well as motor related equipment and processes in industry. 

• On-line diagnosis system for identifying electrical and mechanical defects.
• Monitoring current, vibration, partial discharge, and temperature simultaneously.
• Identifying stator winding, rotor eccentricity, broken bar, bearing defects.
• CT signal input: 3 channel vibration input, 1 channel 100kS/s.
• Real-time sampling: 1 Hz-40kHz.
• Hardware filter data measurement time: 10.486 sec.
• Time and frequency graph display motor parameter setting.
• Motor fault diagnosis character LCD display SRAM 2 Mbytes RS-422 or Ethernet (TCP/IP).
• Measurement system display type: 2 x 10 character.
• LCD key: 6 key.
• Input sensor input: CT 3Ch/vibration 1Ch.
• Flash memory: 4 Mbytes, sampling rate: 100kS/s, band pass filter: 1-40kHz.
• Resolution: 16 bits.
• Communication: RS-422 or Ethernet (TCP/IP). 
• Current sensor type: CT type.
• Primary range: 50A, 100A, 200A, 250 A, 300A (rms).
• Secondary range: 5A (rms).
• Accuracy class: 1%. 
• Vibration sensor sensitivity (±15%): 100mV/g.
• Frequency response: 1-10kHz.
• Dynamic range: ±50g peak.