|Table of Contents|

BP neural network applied in fault detection of rocket pressurized delivery system(PDF)

《火箭推进》[ISSN:1672-9374/CN:CN 61-1436/V]

Issue:
2021年05期
Page:
85-91
Research Field:
测控与试验
Publishing date:

Info

Title:
BP neural network applied in fault detection of rocket pressurized delivery system
Author(s):
ZHANG Weixing; LI Jianmin; HOU Wen; WANG Gao; LUO Yue; XUE Zhenyu
(School of Information and Communication,North University of China,Taiyuan 030051,China)
Keywords:
liquid rocket telemetry parameter BP neural network fault detection
PACS:
V434,TP277
DOI:
-
Abstract:
The pressurized delivery system is the core system of rocket to generate thrust,and its working reliability is directly related to the safety of launch vehicle. Taking the third stage of a certain type of launch vehicle as the fault detection object,the telemetry data is sampled and preprocessed to reduce the data scale and improve the fault detection efficiency.By simulating common faults and occasional faults to expand the fault data scale,the fault data and normal data are balanced,and the rocket working conditions are distinguished by adding normalized time series. The processed telemetry data is used to train BP neural network.The fault detection results show that BP neural network can effectively detect the fault of pressurized delivery system by using therocket telemetry data,and the false alarm rate of normal data and false alarm rate of fault data are both low,and it can meet the real-time fault detection requirements.

References:

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