High-voltage equipment state evaluation method, high-voltage equipment on-line monitoring device evaluation method and apparatuses
A high-voltage equipment and status evaluation technology, applied in the field of high-voltage equipment, can solve the problems of low correct judgment rate and false alarm of high-voltage equipment, and achieve the effect of improving the correct judgment rate, avoiding false alarm phenomenon, and solving the high false alarm rate of high-voltage equipment
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Embodiment 1
[0045] Embodiment one, specifically, such as image 3 As shown, the specific steps of the high-voltage equipment status assessment method based on spectrum intelligent identification are as follows:
[0046] Step (1) Establish a sample library of typical spectra to support the source analysis of spectra:
[0047]On the basis of the research on the spectrum generation technology of the online monitoring device, through the systematic analysis of the monitoring product design, materials and application environment, combined with the product field application and field test technology, the data of the online monitoring device under various working conditions are collected and sorted out. Various "distortion" spectrograms, as shown in Figure 1 and Figure 2, the characteristic parameters used for spectrogram pattern recognition include frequency, steepness, deviation, peak position, asymmetry, etc., in order to effectively identify "Undistorted" and "distorted" spectra provide ref...
Embodiment 2
[0056] Embodiment two: specifically, such as image 3 As shown, the specific steps of the high-voltage equipment status assessment method based on spectrum intelligent identification are as follows:
[0057] Step (1) Establish a sample library of typical spectra to support the source analysis of spectra:
[0058] On the basis of the research on the spectrum generation technology of the online monitoring device, through the systematic analysis of the monitoring product design, materials and application environment, combined with the product field application and field test technology, the data of the online monitoring device under various working conditions are collected and sorted out. Various "distorted" spectrograms and "non-distorted" spectrograms, as shown in Figure 1 and Figure 2, the characteristic parameters used for spectrogram pattern recognition include frequency, steepness, deviation, peak position, asymmetry degree, etc., to provide a reference template for effect...
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