A device parameter anomaly detection system and method based on adaptive threshold setting

Abstract

The invention discloses an equipment parameter abnormity detection system and an equipment parameter abnormity detection method based on self-adaptive setting of a threshold. The method comprises the steps of accessing multi-dimensional real-time measure point data of operating status of power transformation equipment, and normalizing the data; reducing dimensionality of a real-time multi-dimensional normalized data sequence of the operating status of the power transformation equipment; performing predicted computation on the real-time dimensionality reduced data sequence of the operating status of the power transformation equipment; computing scores by using the real-time data and the predicted data of the operating status of the power transformation equipment, thus acquiring an operating status score of the power transformation equipment; determining a threshold range, including an upper threshold boundary and a lower threshold boundary, of the operating status of the power transformation equipment; and judging whether a current moment score is within the threshold range by using the threshold range of the operating status of the power transformation equipment, and making a conclusion about whether the power transformation equipment is abnormal. According to the system and the method provided by the invention, the status parameter abnormity detection threshold range of the power transformation equipment mostly depends on offline computation and subjective experience of power transformation equipment experts, and can not be changed in a self-adaptive manner according to the real-time operating status of the equipment.

Description

technical field [0001] The invention relates to the field of detection of power transmission and transformation equipment, in particular to a system and method for abnormal detection of equipment parameters based on threshold adaptive setting. Background technique [0002] As we all know, the operating state of equipment has a great impact on the production of power plants. The functional characteristics, appearance characteristics and electrical characteristics of the equipment during normal operation are different from those under abnormal conditions. According to the early warning of equipment status, the maintenance plan will be made, which will save huge manpower, material resources and financial resources of the power plant, and has very large economic potential. [0003] At present, in terms of early warning of equipment status, equipment manufacturers set the threshold method of different warning levels for each component according to the manufacturing process. Data...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, provide a device parameter abnormality detection system and method based on threshold self-adaptive setting, and solve the problem that the abnormal detection threshold range of the status parameter of the substation equipment relies more on the off-line calculation of the substation equipment expert and the subjective Experience, but unable to adapt to changes in the real-time state of equipment operation

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