Frequency-distribution-based reliability calculation method and system for uninterrupted power detection technology

Abstract

The invention discloses a frequency-distribution-based reliability calculation method for an uninterrupted power detection technology. The frequency-distribution-based reliability calculation method includes the steps: constructing a power failure test historical data set and an uninterrupted power detection historical data set of the same electrical device; according to the frequency distributionof the uninterrupted power detection historical data, determining whether the measurement accuracy of uninterrupted power detection meets the requirement; calculating the relative error of the uninterrupted power detection historical data relative to the power failure test historical data; according to the frequency distribution of the relative error, determining whether the relative error of theuninterrupted power detection meets the requirements; and if both the measurement accuracy and the relative error of the uninterrupted power detection meet the requirements, determining that the uninterrupted power detection technology is reliable. The invention also discloses a corresponding system. According to the frequency distribution of the uninterrupted power detection historical data, thefrequency-distribution-based reliability calculation method for an uninterrupted power detection technology judges the measurement accuracy of the uninterrupted power detection, calculates the relative error by using the power failure test historical data as an index, and judges the relative error of the uninterrupted power detection according to the frequency distribution of the relative error,and realizes reliability determination of the uninterrupted power detection.

Description

technical field [0001] The invention relates to a method and system for calculating reliability of non-stop detection technology based on frequency distribution, and belongs to the field of online monitoring and state evaluation of electric equipment. Background technique [0002] After the power equipment fails, the equipment needs to stop working for maintenance, which will cause power outage losses and high maintenance costs. In severe cases, equipment needs to be replaced, resulting in economic losses. The traditional maintenance methods for electrical equipment are mainly preventive tests. The tests are carried out in a certain period. Although the accuracy of preventive tests is high and there are many test items, the test requires the equipment to stop running, which requires a lot of manpower and material resources. The status of the device cannot be reflected in time. The condition-based maintenance proposed at present has become the development direction of power ...

AI Technical Summary

Problems solved by technology

However, the current online monitoring and live detection technology has the following shortcomings: poor detection stability, insufficient data accuracy, and irregular maintenance and management

These shortcomings make it difficult for on-line monitoring and live detection technology to provide good quality data for condition-based maintenance

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