Transformer substation acoustic signal feature extraction method based on MFCC
A feature extraction, acoustic signal technology, applied in the recognition of patterns in signals, instruments, characters and pattern recognition, etc., can solve the problem of collective empirical mode decomposition without mathematical theory support, restricting the accuracy and timeliness of acoustic signal detection methods, hardware Computational performance requirements are high and other issues, to achieve the effect of reducing computer operating costs, fast operation speed, and simple instructions
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[0028] The present invention will be further described below in conjunction with the accompanying drawings.
[0029] Power transformers and switchgear will emit various sounds during operation, and the operating status and fault category of the equipment can be more accurately judged from the change of sound frequency and the strength of the signal. For example, when a 10kV distribution transformer is in normal operation, there is a slight and uniform "humming" sound, the signal frequency is low, and the intensity is weak, which is a normal phenomenon of core self-vibration. If the transformer suddenly has an abnormal sound, it can be analyzed according to the frequency and intensity: for example, if the low-frequency component of the sound is significantly aggravated, it means that the load of the transformer is heavy; when the sound has an abnormal high-frequency component, the power supply voltage may be too high ;When the core structure inside the transformer is loose, the...
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