This paper presents a three-layer general process model for unanticipated state recognition in a telescope drive system, consisting of an anticipated fault diagnosis layer, an unanticipated normal state isolation layer, and an unanticipated fault state recognition layer. It is proposed for the first time to subdivide the unanticipated state into an unanticipated normal state and an unanticipated fault state in this paper, and to study their theories separately. Unanticipated normal state isolation rules based on angle deviation and amplitude deviation are established, as are unanticipated fault state recognition rules based on angle deviation and deviation contribution factor. Finally, normal operation data of the Antarctic Survey Telescope (AST3-3) combined with fault implantation was used to verify the validity of the model. The results show that the method can effectively carry out isolation of the unanticipated normal state and identification of the unanticipated fault state.

中文翻译：

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望远镜驱动系统非预期状态识别的一般过程模型

本文提出了望远镜驱动系统中非预期状态识别的三层通用过程模型，由预期故障诊断层、非预期正常状态隔离层和非预期故障状态识别层组成。本文首次提出将非预期状态细分为非预期正常状态和非预期故障状态，并分别对其理论进行研究。建立了基于角度偏差和幅度偏差的非预期正常状态隔离规则，以及基于角度偏差和偏差贡献因子的非预期故障状态识别规则。最后利用南极巡天望远镜（AST3-3）正常运行数据结合故障植入验证模型的有效性。