Cage type asynchronous motor stator and rotor fault joint diagnosis method based on stack type self-encoding and light gradient elevator algorithm
A stack-type self-encoding, asynchronous motor technology, applied in the field of detection, can solve problems such as performance to be improved, and achieve the effect of reducing the amount of calculation
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[0030] The present invention proposes a joint and simultaneous diagnosis method of cage-type asynchronous motor stator winding inter-turn short circuit and rotor broken bar fault and its severity based on stacked self-encoder and light gradient hoist algorithm. The diagnostic accuracy of the method is Up to 99.83%. Obviously, the basis of the present invention lies in the acquisition of a large amount of sample data, the construction of a stacked autoencoder and a light gradient booster, which will be described in detail below.
[0031] figure 1 For the experimental wiring diagram, according to the system, a large number of experiments are carried out on the motor, so as to obtain sufficient samples. Among them, the data acquisition system collects the instantaneous three-phase current signal of the stator through the current converter and the voltage converter sA i sB i sC , stator three-phase voltage instantaneous signal u sA , u sB , u sC . This experimental work is...
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