High-voltage equipment state evaluation method, online monitoring device evaluation method and device
A technology of high-voltage equipment and monitoring devices, applied in the field of high-voltage equipment, can solve the problems of false alarms and low correct judgment rates of high-voltage equipment, and achieve the effects of improving the correct judgment rate, avoiding false alarms, 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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