Residual life gray prediction method of aerospace hydraulic pump based on delta filter

Abstract

The invention discloses a residual life gray prediction method of an aerospace hydraulic pump based on a delta filter. The method comprises the following steps of: selecting oil return flow of the aerospace hydraulic pump as characteristic quantity of life prediction and collecting values of the oil return flow of the hydraulic pump to form an original data sequence of life prediction of the hydraulic pump; inspecting the original data sequence and determining proposal according to different numeric range of m; giving out design process of the delta filter of a generalized data sequence filter, carrying out filtering with the delta filter to the original data sequence and then establishing a gray prediction model of full-history data GM(1, 1) to carry out residue life prediction; giving out the selecting principle of a dimensionality K of equal dimension new information gray prediction model, and then establishing equal dimension new information gray prediction model to the original data sequence to carry out residual life prediction, thus effectively improving the precision of long-term residual life prediction.

Description

technical field [0001] The invention belongs to the research field of life prediction of aviation hydraulic pumps, and in particular relates to a gray prediction method for remaining life of aviation hydraulic pumps based on a delta filter. Background technique [0002] With the increase of mission attendance rate and readiness rate of combat aircraft in modern warfare, coupled with the rapid development of testing technology, signal analysis technology and computer technology, advanced foreign aircraft have adopted a complete failure prediction and health management system (PHM system) To achieve condition monitoring, fault diagnosis and life prediction, thereby effectively reducing the aircraft accident rate and saving maintenance costs. Among them, life prediction technology is a hot and difficult problem in fault prediction and health management system. [0003] The aviation hydraulic pump is the core component of the aircraft hydraulic pump source system. It provides e...

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Problems solved by technology

[0007] At present, some scholars have applied the gray prediction theory to the life prediction of hydraulic pumps, and achieved good results, but there are still defects: the outlet flow of the hydraulic pump is selected as the characteristic quantity of life prediction, and the change of the outlet flow is not only related to the internal wear of the pump. , is also closely related to the working state of the pump, and cannot characterize the life of the hydraulic pump very accurately; the original prediction data is not preprocessed to improve the smoothness of the data, and a large number of studies have proved that the accuracy of the gray prediction model depends largely on the Due to the smoothness of the original data sequence; the residual modified GM (1, 1) model is used. This modeling method cannot take into account the new state information continuously generated during the performance decline of the hydraulic pump, so it can only make short-term predictions. For aviation hydraulic pumps with a lifespan of thousands of hours, medium and long-term life prediction is more critical

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