A robust, on-line turn-fault detection technique for induction machines based on monitoring the sequence component impedance matrix

PESC Record - IEEE Annual Power Electronics Specialists Conference

Volumn 4, Issue , 2001, Pages 2217-2223

  Lee, S B ^a   Tallam, R M ^a   Habetler, T G ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

STATOR WINDING INSULATION;

COMPUTER SIMULATION; ELECTRIC FAULT CURRENTS; ELECTRIC IMPEDANCE; ELECTRIC POTENTIAL; ERROR DETECTION; MATRIX ALGEBRA; STATORS;

INDUCTION MOTORS;

EID: 0034790420     PISSN: 02759306     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PESC.2001.954449     Document Type: Conference Paper

References (15)

1. Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motors
2. Analysis of cage induction motors with stator winding faults
3. A new approach to on-line turn fault detection in AC motors
4. Alternatives for assessing the electrical integrity of induction motors
5. An on-line method to detect incipient failure of turn insulation in random-wound motors
6. Detection and location of interturn short circuits in the stator windings of operating motors
7. Vibration and stray flux monitoring for unbalanced supply and inter-turn winding fault diagnosis in induction machines
8. Multiple coupled circuit modeling of induction machines
9. A simplified model of induction motor with stator shorted turns oriented to diagnostics
10. Transient model for induction machines with stator winding turn faults
11. Protection of squirrel cage induction motor utilizing instantaneous power and phase information
12. Insulation failure prediction in AC machines using line-neutral voltages
13. Stator winding fault diagnostics in three-phase synchronous and asynchronous motors, by using the extended Park's vector approach
14. Neural network-based on-line stator winding turn fault detection for induction motors
15. Experimental investigation of on-line methods for incipient fault detection