: Received: 16 July 2022 / Approved: 18 July 2022 / Online: 18 July 2022 (04:27:00 CEST)
: Received: 15 August 2022 / Approved: 17 August 2022 / Online: 17 August 2022 (03:53:54 CEST)
Cao, Y.; Duan, S.; Li, Y.; Li, X.; Zhao, Z.; Wang, X. Fault Detection of Landing Gear Retraction/Extension Hydraulic System Based on Bond Graph-Linear Fractional Transformation Technique and Interval Analytic Redundancy Relations. Appl. Sci.2022, 12, 9667.
Cao, Y.; Duan, S.; Li, Y.; Li, X.; Zhao, Z.; Wang, X. Fault Detection of Landing Gear Retraction/Extension Hydraulic System Based on Bond Graph-Linear Fractional Transformation Technique and Interval Analytic Redundancy Relations. Appl. Sci. 2022, 12, 9667.
Various factors, such as uncertainty of component parameters and uncertainty of sensor meas-urement values, contribute to the difficulty of fault detection in the landing gear retrac-tion/extension hydraulic system. In this paper, we introduce linear fractional transformation technology and uncertainty analysis theory for the construction of the diagnostic bond graph of the landing gear retraction/extension hydraulic system. In this way, interval analytical redundancy relations and fault signature matrix can be derived. Using the fault signature matrix, existing faults of the system can be preliminarily detected and isolated. Additionally, interval analytical re-dundancy relations can be used to detect system faults in detail, and cases analysis can be carried out to determine if the actuator is externally or internally leaky, and if the landing gear selector valve is reversing stuck. Compared to the traditional analytical redundancy relations, this method takes into account the negative factors of uncertainty; and compared to the traditional absolute diagnostic threshold, the interval diagnostic threshold is more accurate and sensitive.
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