A method for predicting predicting the performance of an engine by a big data analysis model
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A technique for analyzing models, engines
Active Publication Date: 2019-05-07
CHONGQING UNIV
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This method has the problems of high capital cost, long time consumption, resource consumption
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Embodiment 1
[0055] See figure 1 , A method for predicting engine performance by a big data analysis model, which mainly includes the following steps:
[0056] 1) Determine the input data and save the input data in the MES (manufacturing execution system) database.
[0057] Further, the input data is original process data and original quality data of the engine.
[0058] The original process data is collected by sensors attached to the engine. The original process data mainly includes basic data and tightening data.
[0059] The basic data mainly includes connecting rod bearing detection data, flatness detection data, gap detection data and pressure detection data. The tightening data mainly includes engine bolt tightening torque, tightening rotation angle, and ratio of engine bolt tightening torque to tightening rotation angle.
[0060] The raw quality data mainly includes cold test data and leak detection data.
[0061] 2) The input data is classified, and the classified input data are arranged...
Embodiment 2
[0102] An experiment of a big data analysis model predicting engine performance method mainly includes the following steps:
[0103] 1) Confirm the input data and save the input data in the MES database.
[0104] The input data is the process data and quality data of the engine. According to the engine data obtained by the sensor, the original process data includes basic data and tightening data, and the original quality data includes cold test data and leak detection data. 38 engines of the same model are extracted from the MES database 230,000 process data (s 1 ,s 2 ,s 3 ...), and the quality data of 588 cold test items and 20 leak detection items, a total of 180,000 pieces of data (s 797 ,s 798 ,s 799 ...).
[0105] 2) The input data is classified, and the classified input data are arranged in chronological order. Process the sorted input data to obtain preliminary detection data.
[0106] 3) Screen the preliminary detection data, as shown in Table 1, to obtain the preliminary det...
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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...
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