Name
Abstract | ||
|---|---|---|
In this paper, a signal-based method is proposed for the detection and isolation of open-switch faults in variable speed drives. The fault diagnosis algorithm relies only on the information of stator currents. Residuals and features are generated from the trajectory of Park's current vector and symmetrical components of line currents. Fault detection is achieved by directly monitoring the magnitude of Park's vector. Meanwhile, an isolation algorithm based on pattern recognition is proposed by applying a supervise classification technique. The proposed scheme is able to evaluate 18 single and simultaneous faults conditions under steady-state operation. Experimental data is evaluated from a test bench of 1 HP induction motor to validate the fault detection and isolation scheme presented in this work. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICEEE.2011.6106704 | CCE |
Keywords | Field | DocType |
electric current measurement,fault diagnosis,induction motors,pattern recognition,stators,variable speed drives,park current vector,current measurements,fault detection,fault isolation,induction motor,line currents,multiple fault diagnosis,open switch faults,signal-based method,stator currents,symmetrical components,discriminant functions,induction motor drive,actuators,discriminant function,fault detection and isolation,steady state,vectors | Magnitude (mathematics),Induction motor,Test bench,Fault detection and isolation,Computer science,Control theory,Control engineering,Stator,Symmetrical components,Trajectory,Actuator | Conference |
ISBN | Citations | PageRank |
978-1-4577-1011-7 | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pecina-Sanchez, J.A. | 1 | 0 | 0.34 |
| Campos-Delgado, D.U. | 2 | 13 | 5.55 |
| Diego Rivelino Espinoza-Trejo | 3 | 13 | 3.95 |