SDG-based fault sample selection for telescope drive control system

Xiaojie Gu; Shihai Yang; Yun Li; Zhuangzhuang Deng; Zhiwen Gao

doi:10.1117/12.2637331

25 August 2022 SDG-based fault sample selection for telescope drive control system

Xiaojie Gu, Shihai Yang, Yun Li, Zhuangzhuang Deng, Zhiwen Gao

Proceedings Volume 12187, Modeling, Systems Engineering, and Project Management for Astronomy X; 121871W (2022) https://doi.org/10.1117/12.2637331
Event: SPIE Astronomical Telescopes + Instrumentation, 2022, Montréal, Québec, Canada

Conference Poster

Abstract

As the preliminary step of the fault injection, the way of fault sample selection has a significant influence on the testing result. In order to promote the efficiency as well as to guarantee the correctness, a theoretical framework for fault sample selection for telescope drive control system based on the SDG (Sighed Digraph) modeling and the importance of nodes in graph theory is proposed in this study. Firstly, the SDG model is developed qualitatively according to the mathematical equations of control loops utilizing classic control methods. Secondly, the compatible pathways are introduced which can depict the fault propagation completely and the importance of the model nodes based on destroying degrees relative to the components of the drive control system are introduced. Finally, a procedure of fault sample selection method is proposed to show an efficient result which only needs a few of fault samples and data information.

Citation Download Citation

Xiaojie Gu, Shihai Yang, Yun Li, Zhuangzhuang Deng, and Zhiwen Gao "SDG-based fault sample selection for telescope drive control system", Proc. SPIE 12187, Modeling, Systems Engineering, and Project Management for Astronomy X, 121871W (25 August 2022); https://doi.org/10.1117/12.2637331

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