| Title |
Fault Diagnosis of Voltage-Fed Inverters Using Pattern Recognition Techniques for Induction Motor Drive |
| Authors |
Jang-Hwan Park ; Sung-Moo Park ; Dae-Jong Lee ; Dong-Hwa Kim ; Myung-Geun Chun |
| Keywords |
fault diagnosis ; induction motor drive system ; inverter ; PDA ; LDA ; SOM |
| Abstract |
Since an unexpected fault of induction motor drive systems can cause serious troubles in many industrial applications, which the technique is required to diagnose faults of a voltage-fed PWM inverter for induction motor drives. The considered fault types are rectifier diodes, switching devices and input terminals with open-circuit faults, and the signal for diagnosis is derived from motor currents. The magnitude of dq-current trajectory is used for the feature extraction of a fault, and PCA, LDA are applied to diagnose. Also, we show results with respect to the execution time because of the possibility to use that a diagnosis software is embedded in the controllers of medium and small size induction motors drive for real-time diagnosis. After we performed various simulations for the fault diagnosis of the inverter, the usefulness of proposed algorithm was verified. |