Research Article
Research on Satellite Fault Detection Method Based on MSET and SRPRT
@INPROCEEDINGS{10.1007/978-3-030-69072-4_4, author={Peng Sun and Guang Jin}, title={Research on Satellite Fault Detection Method Based on MSET and SRPRT}, proceedings={Wireless and Satellite Systems. 11th EAI International Conference, WiSATS 2020, Nanjing, China, September 17-18, 2020, Proceedings, Part II}, proceedings_a={WISATS PART 2}, year={2021}, month={2}, keywords={Fault detection MSET SRPRT}, doi={10.1007/978-3-030-69072-4_4} }- Peng Sun
Guang Jin
Year: 2021
Research on Satellite Fault Detection Method Based on MSET and SRPRT
WISATS PART 2
Springer
DOI: 10.1007/978-3-030-69072-4_4
Abstract
Since the beginning of the 21st century, the increasing requirements of mankind for spacecraft technology have forced spacecraft technology to become more and more complex and increase investment. Most current fault detection methods only use single features and features or single fault detection data, and do not involve satellite fault monitoring under multi-parameter conditions. This paper proposes a satellite fault detection method that can be used in a multi-parameter state. The multivariate state estimation algorithm (MSET) is used to obtain the residual between the multivariate state and historical health data, and then the actual residual of the data to be measured is input into the sequential rank sum probability ratio test method (SRPRT) to test. This paper verifies the effectiveness of the combination of MSET algorithm and SRPRT algorithm through experiments, and finds the optimal parameters and accuracy relative to SPRT method.
