A prediction model of octane number loss based on neural network
2022-01-0181
03/29/2022
- Event
- Content
- The octane number is the most important indicator of motor petrol, and the petrol refining process is one of the important links in petrol production. The prediction of the octane loss number of petrol during the refining process is helpful to the improvement of petrol refining process and the processing of petrol. The traditional octane number 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 octane loss models. This paper studies the construction of the octane 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 octane loss prediction model, and the prediction accuracy is 85.22%.
- Citation
- yang, G., Zhang, S., Li, S., and Li, W., "A prediction model of octane number loss based on neural network," SAE Technical Paper 2022-01-0181, 2022, .