Secondary apparatus fault diagnosis method based on data excavation

Abstract

A secondary apparatus fault diagnosis method based on data excavation, comprises the steps of (1) reading power grid fault event information and the history information about the impact to the apparatus; (2) deducing and summing up diagnosis rule for filling a rule base through a data excavation inference module; (3) associating and classifying the information like remote measurement and remote signaling of a supervision control and data acquisition system (SCADA) read by a data analysis processing module at real time, fault information system (FIS) protection and switch motion and filtering the information irrelevant to the fault; (4) gathering the related fault information for analysis and positioning the apparatus that has a fault preliminarily; (5) diagnosing the processing information corresponding to the fault apparatus positioned preliminarily by an integrated diagnosis module; (6) gathering and analyzing the matched knowledge base rule and the related fault information to position the fault apparatus; and (7) providing the fault reason and the strategy for eliminating the fault in combination with the matched knowledge base rule in dependence on the positioned fault apparatus.

Description

Technical field [0001] The invention belongs to the field of power system secondary equipment fault detection, and in particular relates to a method for power system secondary equipment fault detection and diagnosis. Background technique [0002] With the continuous development of the power system, domestic research on advanced applications of secondary equipment management has been carried out, which has improved the analysis and management functions of fault information to a certain extent, but these data processing methods are only preliminary analysis and processing of data. Failed to dig deep into the rich knowledge contained, unable to understand and use these data in depth in time and space, there are insufficient data mining and system analysis functions are not comprehensive. At present, the operation and maintenance center lacks the support of information integration platform, each system is relatively independent, in an information island state, and lacks coordination....

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of the power system, research on the advanced application of secondary equipment management has been carried out in China, which has improved the analysis and management function of fault information to a certain extent, but these data processing methods are only for preliminary analysis and processing of data, and Failed to dig out the rich knowledge contained in it at a deep level, and could not understand and use these data deeply in terms of time and space, and there were deficiencies such as insufficient data mining and incomplete system analysis functions.

At present, the operation and maintenance center lacks the support of an information integration platform, and each system is relatively independent, in the state of an information island, and lacks coordination. It is difficult for team members to adapt and correctly use the information and services provided by each system, resulting in the failure of each information system to improve the operation and maintenance efficiency. , which also increases the workload of operation and maintenance personnel and increases the cost of operation and maintenance

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