A method and system for analyzing the confidence level of online monitoring data of oil chromatography

Abstract

The invention provides an oil chromatography online monitoring data confidence coefficient analyzing method. The method comprises the following steps: obtaining current time of oil chromatography online monitoring and corresponding monitoring data; by taking the last time of the current time as a starting point, determining a terminal point according to a preset analyzing time range inverted sequence manner to obtain a time set corresponding to an analyzing time range and a corresponding data set of the time set in a preset oil chromatography online monitoring data set; fitting by adopting a least square method; obtaining predicated data according to a preset fitting model; calculating a difference value range between the predicated data and the monitoring data, and determining a confidence coefficient in a preset corresponding relation between the difference value range and the confidence coefficient; and when the confidence coefficient is greater than a preset confidence coefficient threshold value, storing the monitoring data into the oil chromatography online monitoring data set. By adopting the embodiment of the invention, the accuracy and the reliability of the oil chromatography online monitoring data can be effectively improved based on the least square method; and the invalid working amount is reduced and the waste resources are avoided.

Description

technical field [0001] The invention relates to the technical field of power systems, in particular to a confidence analysis method and system for online monitoring data of oil chromatography. Background technique [0002] Dissolved gas analysis in oil is one of the most effective methods for fault diagnosis of large transformers. The traditional laboratory oil chromatographic analysis has shortcomings such as long cycle and many steps of sampling, transportation and measurement, but the oil chromatographic online monitoring technology makes up for this shortcoming very well, and is very important for timely detection of latent faults in transformers and avoiding major accidents in power systems effect. The oil chromatography online monitoring system is used to monitor the content of other components dissolved in the transformer insulating oil, which can help users monitor and warn whether there are latent overheating, discharge, insulation and other faults in the oil-fille...

AI Technical Summary

Problems solved by technology

[0003] In actual operation, due to the harsh working environment of the oil chromatography online monitoring system, transient electromagnetic interference and communication failures are more likely to occur, resulting in the contamination of the data obtained by the oil chromatography online monitoring system, which may issue wrong alarm messages. And lead to follow-up meaningless offline analysis, increase invalid workload and waste various resources

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