A Prediction Model of RON Loss Based on Neural Network

2022-01-0162

03/29/2022

Features
Event
WCX SAE World Congress Experience
Authors Abstract
Content
The RON(Research Octane Number) is the most important indicator of motor petrol, and the petrol refining process is one of the important links in petrol production. However, RON is often lost during petrol refining and RON Loss means the value of RON lost during petrol refining. The prediction of the RON loss of petrol during the refining process is helpful to the improvement of petrol refining process and the processing of petrol. The traditional RON prediction method relied on physical and chemical properties, and did not fully consider the high nonlinearity and strong coupling relationship of the petrol refining process. There is a lack of data-driven RON loss models. This paper studies the construction of the RON loss model in the petrol refining process. The main innovation is to use frequency statistics to summarize the operating range of data variables and preprocess the dataset, and use the variance selection method to filter out some invalid variables, then use the multi-dimensional association analysis to select 27 main operating variables in the next step. Finally, a neural network is used to establish an RON loss prediction model, and the prediction accuracy is 85.22%.
Meta TagsDetails
DOI
https://doi.org/10.4271/2022-01-0162
Pages
9
Citation
Zhang, S., Yang, G., Li, S., and Li, W., "A Prediction Model of RON Loss Based on Neural Network," SAE Technical Paper 2022-01-0162, 2022, https://doi.org/10.4271/2022-01-0162.
Additional Details
Publisher
Published
Mar 29, 2022
Product Code
2022-01-0162
Content Type
Technical Paper
Language
English