ON-LINE FAULT DETECTING METHOD FOR 3-PHASE INDUCTION MOTOR WHICH IS BASED ON STATISTICAL PATTERN RECOGNITION TECHNIQUE

摘要

the present invention is the time zone on the MCSA (motor current signal analysis) and statistical pattern recognition techniques used to induce relates to a motor-line fault diagnosis method of the three-phase induction motor based on a statistical pattern recognition technique for to diagnose whether the failure in the online state, the three-phase three-phase driven by the power supplied to the power and drive unit whether the failure of the induction motor according to a method for diagnosis on line, the current sense step of sensing the current signal using a plurality of current sensors are connected to a power supply terminal of the three-phase induction motor; Receiving the analog signals inputted from the current sensor output process for outputting digital data converted into digital data; And data detection receives the digital data output from the device is characterized by consisting of a failure diagnosis process for diagnosing whether a failure to check the status of the three-phase induction motor.