Helicopter key and important parts wear rate prediction method

Abstract

The present invention relates to the usage and maintenance guarantee technology field, in particular to a helicopter key and important parts wear rate prediction method. The method comprises the following steps of determining the helicopter key and important parts wear influence factors, and acquiring the wear quantity data; converting the visual wear quantity into a wear rate of unit time; usinga main effect, a secondary effect and an interaction effect of the wear influence factors to form an independent variable set, forming a sample data table with a dependent variable set, and carrying out the correlation analysis; extracting the components; utilizing the partial least squares to extract the components until a regression equation reaches the predetermined precision; converting into aregression equation between the original independent variables and the dependent variables in the original data table; analyzing a model and verifying the effects. The helicopter key and important parts wear rate prediction method of the present invention applies an orthogonal test design method, enables the workload to be reduced, and fully considers the mutual effects between the multiple factors and multiple levels, thereby really achieving the purposes of being high in efficiency and being fast and economic.

Description

technical field [0001] The invention relates to the technical field of service maintenance support, in particular to a method for predicting the wear rate of critical parts of a helicopter. Background technique [0002] At present, the helicopters that have been in service for many years in the field of the army have various degrees of aging and weakening of functions in multiple systems. The problems are mainly concentrated in several large mechanical systems, which are prone to component sticking, vibration, speeding, and line detachment and desoldering. And other problems, at its root, wear is one of the main reasons for this type of failure. [0003] For the wear problem, quantitative prediction has always been an important and difficult point in its research; at present, the multi-factor orthogonal test method is mainly used to extract the wear data, and according to the statistical law of the wear data, a more suitable mathematical statistical method is sought. Establ...

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide a method for predicting the wear rate of heavy-duty parts of a helicopter, to solve at least one problem existing in the quantitative prediction method for the wear rate of heavy-duty parts of helicopters

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