The invention relates to a
zinc oxide arrester insulation degradation
trend analysis method. The
zinc oxide arrester insulation degradation
trend analysis method comprises the steps of: acquiring
lightning arrester online
monitoring data, basic standing book data and temperature and
humidity data; performing data cleaning on the acquired data; then, subjecting the cleaned data to denoising
processing by means of
mathematical morphology, so as to effectively eliminate
signal noise while reserving global and local characteristics of an original
signal, and improve the online
monitoring data reliability; performing EMD analysis to extract each
modal component in the
data signal and representing a central trend component of the data original
signal, acquiring each inflection point of a curve from the central trend component, further determining a data variation trend between the adjacent inflection points according to data variation rate warning upper and lower limits and the data variation rate between the adjacent inflection points, and combining the variation trend of the adjacent inflection points to obtain a
lightning arrester
monitoring data variation trend, and sending out insulation degradation trend warning according to a lighting arrester insulation degradation warning factor. The
zinc oxide arrester insulation degradation
trend analysis method realizes the efficient
perception of an insulation fault of the
lightning arrester and guarantees the safe and reliable operation of a
power grid.