Open AccessResearch on Prediction Method of First Hit Ratio of Artillery Based on Data Driven
Author(s) -
Na Zhou,
Yonghao Li,
Xinan Liu,
Qianya Guo
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/3/032105
Subject(s) - artillery , ammunition , test (biology) , computer science , test data , simulation , engineering , aeronautics , artificial intelligence , paleontology , archaeology , biology , programming language , history
This paper introduces the traditional firing rate (FRHP) assessment method of artillery and its insufficiency, and proposes a data-driven prediction method for the first hit rate of artillery. This method utilizes the control information, sensor information and other data recorded in the previous vehicle training test, and performs a small number of live ammunition shooting test result data to conduct the association of the first hit ratio of the artillery, and based on the association rules mining knowledge to predict the first hit rate of the artillery. This method is applied in the prediction test of the first hit rate of a certain type of weaponry. The test results show that the average deviation of the predicted test results is 3.08%, which meets the index requirement of the forecasting deviation of the first hit ratio of the artillery <5%, and the method is effective.