A method for predicting predicting the performance of an engine by a big data analysis model

Abstract

The invention discloses a method for predicting the performance of an engine by a big data analysis model. The method mainly comprises the following steps: 1) determining input data; And 2) establishing an engine performance index prediction model and an engine performance classification detection model; ; 3) training self-learning parameters of all regression algorithms; 4) inputting the test sample matrix C into the engine performance index prediction model and the engine performance classification detection model after the self-learning parameters are adjusted to obtain the prediction errorrate of each regression algorithm; And 5) inputting the input data of the engine to be detected into an engine performance index prediction model so as to output a rotation speed prediction result ofthe engine to be detected under different working conditions. According to the method, engine performance prediction is carried out on the process detection data and the quality detection data generated in the engine production process, automatic prediction of the engine performance condition is achieved, and the reliability of the engine offline quality performance is guaranteed while the laborcost and the engine loss cost are saved.

Description

Technical field [0001] The invention relates to the technical field of engine performance prediction, in particular to a method for predicting engine performance by a big data analysis model. Background technique [0002] At present, most automobile companies’ engine production lines have unclear process experience, and engineers cannot use intuition and experience to correctly explain the ideal results; the factory performance is unstable, the torque consistency of the engine at different speeds is poor, and the engine performance is uncontrollable. . [0003] In addition, at present, various automobile companies use a method of extracting a certain number of engines from each batch of engines after the operating temperature reaches normal, and then running the engines at different speeds to test various performance parameters to achieve control of the engine performance. This method has problems such as high capital cost and long time consumption, such as resource consumption an...

AI Technical Summary

Problems solved by technology

This method has the problems of high capital cost, long time consumption, resource consumption and serious emission pollution, as well as the shortcomings of incomplete inspection coverage.

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