Intelligent Fault Diagnosis Method of Inertial Sensors for Space Gravitational Wave Detection

Cheng Bi, Xiaokui Yue, Yibo Ding, Zhaohui Dang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Space inertial sensor is one of the key loads in space gravitational wave detection mission. Once it fails, the entire mission is likely to be affected or even fail. The existing data-driven intelligent fault diagnosis methods can effectively diagnose some sensor faults, but it is still difficult to solve the problem that measurement data of space inertial sensor is strong coupling and includes much noise. To solve this issue, this paper proposes a convolutional recurrent variational encoder (CRVAE) for fault diagnosis of space inertial sensors. Specifically, a multilevel feature matrix that represents different time scales is firstly constructed based upon sensor raw data. Subsequently, CRVAE trained by health sensor data encodes the feature matrix, then reconstructs the matrix by decoding. Decoded matrix should restore the original feature matrix as much as possible. Intuitively, the decoded matrix of fault data will hardly restore the original state. By analyzing the residual feature matrix generated by CRVAE, the fault diagnosis of space inertial sensors can be realized. In addition, a fault evaluation function is given in order to estimate the fault severity. The result shows the method of this paper can detect fault timely and accurately, and the proposed fault evaluation function can achieve precisely quantitative analysis of fault severity.

源语言英语
主期刊名Computational and Experimental Simulations in Engineering - Proceedings of ICCES 2023—Volume 1
编辑Shaofan Li
出版商Springer Science and Business Media B.V.
969-980
页数12
ISBN(印刷版)9783031425141
DOI
出版状态已出版 - 2024
活动29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023 - Shenzhen, 中国
期限: 26 5月 202329 5月 2023

出版系列

姓名Mechanisms and Machine Science
143
ISSN(印刷版)2211-0984
ISSN(电子版)2211-0992

会议

会议29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023
国家/地区中国
Shenzhen
时期26/05/2329/05/23

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