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.
More and more astronomical instruments have been installed in extreme environment such as Antarctica because of good seeing. However it’s not good for electromechanical system of astronomical telescope due to the harsh environment. This paper presents the study of the unanticipated states of direct drive system of extremely large telescope in extreme environment. The unanticipated states which are short of priori knowledge will degrade the reliability of monitor system significantly and put the self-diagnosis system into trouble.
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