System and method for predicting residual life of part of engineering machine

Abstract

The invention relates to a system and a method for predicting residual life of a part of an engineering machine. The system comprises a reliability analysis module, a data pre-processing module and a residual life prediction module. The reliability analysis module comprises a residual life range acquisition module and a current evaluation object determining module which are respectively used for acquiring the residual life range of the part and determining whether the part serves as the current evaluation object. The data pre-processing module is used for receiving real-time acquired characteristic parameter information of the part serving as the current evaluation object, extracting characteristic parameter values in the characteristic parameter information and pre-processing the extracted characteristic parameter values to construct a sample data set. The residual life prediction module is used for acquiring predicted characteristic parameter values according to the sample data set by using a neural network prediction model and acquiring the residual life of the part by using the predicted characteristic parameter values and consulting the characteristic parameter values of the part in a fault state. By using the system and the method, the residual life of the part can be accurately predicted, and basis is provided for maintenance of the engineering machine.

Description

technical field [0001] The invention relates to the technical field of fault prediction and maintenance of construction machinery, in particular to a system and method for predicting the remaining life of components of construction machinery. Background technique [0002] At present, the remaining life prediction of construction machinery components adopts a single reliability analysis technology, which lacks real-time information and consideration of life dynamics. The prediction accuracy is low, and it is difficult to effectively realize the early warning function and reduce maintenance costs, thereby affecting the failure control effect. . Contents of the invention [0003] Therefore, the present invention provides a component remaining life prediction system and method for construction machinery, which can more accurately predict the remaining life of components, so as to effectively realize the early warning function and reduce maintenance costs, thereby improving the...

AI Technical Summary

Problems solved by technology

[0002] At present, the remaining life prediction of construction machinery components adopts a single reliability analysis technology, which lacks real-time information and consideration of life dynamics. The prediction accuracy is low, and it is difficult to effectively realize the early warning function and reduce maintenance costs, thereby affecting the failure control effect.

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