Mutual inductance type three-phase motor current noise fault detecting method and device for implementing method

Abstract

Provided are a mutual inductance type three-phase motor current noise fault detecting method and a device for implementing the method. The detecting method comprises the steps that (1) current information of a three-phase motor is obtained through a mutual-inductance circuit of a three-phase connecting terminal through the three-phase motor; (2) a Y type circuit mathematic model of current output information is established; (3) motor current noise signals are obtained; (4) the motor current noise signals are judged, and whether the three-phase motor is in fault is determined. In addition, the invention discloses the device for implementing the method. The basic principle of the mutual inductance type three-phase motor current noise fault detecting method and the device for implementing the method is that a current mutual inductor with the same parameter specification is arranged on each leading wire of the three-phase connecting terminal of the three-phase motor, the mutual inductors form a Y type circuit, the motor current noise signals in the working condition can be obtained, and motor on-line operation fault diagnosis can be achieved according to the obtained motor current noise signals. The mutual inductance type three-phase motor current noise fault detecting method and the device for implementing the method have the advantages that the Y type circuit mathematic model is used for filtering 50Hz power frequency signals, a sampling circuit of the motor current noise signals is simple, anti-jamming capability is high, circuit device implementing is easy and economical, performance is stable and reliable, and motor on-line fault detection and diagnosis can be well achieved under an engineering environment.

Description

technical field [0001] The invention relates to a motor current noise fault detection method and a device thereof, in particular to a mutual induction type three-phase motor current noise fault detection method and a device for the method. Background technique [0002] Motors are widely used in various fields of industrial production. Timely and accurate monitoring of motor working conditions and diagnosis of their operating characteristics are important measures to ensure production safety. At present, the detection of motor working conditions is mainly in the aspects of motor current and voltage, motor mechanical vibration and noise, and motor temperature. There are many research results related to motor working condition detection and fault diagnosis. In addition, new theories And modern fault diagnosis methods are constantly emerging: wavelet transform, expert system, fuzzy system, neural network, information fusion, etc. have all been successfully applied. But no matte...

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Problems solved by technology

However, this fault detection method is too complicated. For different types of motors, the modeling structure and parameters vary greatly, and the fault detection of motors can only be performed by type.

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