Transformer DC magnetic bias judgment method based on wavelet energy spectrum characteristics of vibration signals
A technology of vibration signal and DC magnetic bias, applied in instruments, measuring electrical variables, measuring ultrasonic/sonic/infrasonic waves, etc., can solve the problems of lack of persuasion, large amount of training, and easy to be interfered by other factors, and achieve the realization process Simple and effective, low data preprocessing requirements, and low on-site data volume requirements
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[0034] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. A transformer DC bias judgment method based on vibration signal wavelet energy spectrum features, the specific implementation steps are as follows:
[0035] Step A: Acquisition and processing of transformer vibration signals
[0036] Step A1: Use the vibration sensor installed on the side of the transformer box to collect the vibration signal of the transformer at a sampling frequency of 4000 Hz, where the vibration sensor adopts the vibration sensor of the acceleration category;
[0037] Step A2: The previous 99 sampling points and the current downsampling point k 0 The acceleration value a(k 0 -99), a(k 0 -98), a(k 0 -97), ..., a(k 0 -2), a(k 0 -1), a(k 0 ) constitute the transformer vibration signal sequence A(k 0 ), A(k 0 )=[a(k 0 -99), a(k 0 -98), a(k 0 -97), ..., a(k 0 -2), a(k 0 -1), a(k 0 )];
[0038] Step A3: Use the cent...
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