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Fuzzy fault tree analysis based on T–S model with application to INS/GPS navigation system

机译:基于TS模型的模糊故障树分析及其在INS / GPS导航系统中的应用

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摘要

A novel fault tree analysis (FTA) technique based on the Takagi and Sugeno (T–S) model is proposed in this paper. In the proposed technique, referred to as the TS-FTA, the events in the conventional FTA can be expressed in terms of fuzzy possibilities, and the gates that represent the relations among the top event and the primary events are replaced by T–S fuzzy gates derived from the T–S model. The magnitudes of the faults in the system are expressed in term of fuzzy variables. Since the proposed TS-FTA is derived from fuzzy logic and the T–S model, it can readily handle fuzzy information and uncertainties in the relationships among events. Therefore, the TS-FTA is suitable for systems where exact information on the fault probabilities of the components and the failure mechanisms are not available. The proposed TS-FTA is applied to analyze the reliability of an Inertial Navigation System and Global Position System (INS/GPS) integrated navigation system.
机译:本文提出了一种基于Takagi和Sugeno(TS)模型的故障树分析(FTA)新技术。在被称为TS-FTA的提议技术中,常规FTA中的事件可以用模糊可能性来表示,代表最高事件和主要事件之间关系的门由T–S模糊代替由T–S模型得出的门。系统中故障的大小用模糊变量表示。由于建议的TS-FTA是从模糊逻辑和T–S模型派生而来的,因此它可以轻松处理模糊信息和事件之间关系的不确定性。因此,TS-FTA适用于无法获得有关组件故障概率和故障机制的确切信息的系统。提出的TS-FTA应用于分析惯性导航系统和全球定位系统(INS / GPS)组合导航系统的可靠性。

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