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%27s current vector and symmetrical components of line currents. Fault detection is achieved by directly monitoring the magnitude of Park%27s 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. © 2011 IEEE.
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. © 2011 IEEE.
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authors

• Campos Delgado Daniel Ulises
• Espinoza Trejo Diego Rivelino
• Pecina Sánchez José Ángel

publication date

• 2011-01-01

published in

• CCE 2011 - 2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control, Program and Abstract Book  Proceedings

keywords

• discriminant functions; Fault diagnosis; induction motor drive Classification technique; Current vectors; Discriminant functions; Experimental data; Fault detection and isolation schemes; induction motor drive; Line currents; Multiple fault diagnosis; Park's vector; Simultaneous faults; Stator currents; Steady-state operation; Symmetrical components; Test benches; Through current; Algorithms; Automation; Control; Electric drives; Electric fault currents; Electric network analysis; Electrical engineering; Failure analysis; Induction motors; Parks; Pattern recognition; Process control; Program diagnostics; Variable speed drives; Fault detection

Digital Object Identifier (DOI)

• 10.1109/ICEEE.2011.6106704

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