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• W4318958045 startingPage "055111" @default.
• W4318958045 abstract "Abstract Hydraulic system operation reliability (HSOR) can evaluate time series state reliability for hydraulic system fault diagnosis and provide condition based maintenance decisions. The quick access recorder (QAR) flight data and normal values of the hydraulic system are utilized to analyze time series HSOR by calculating the operation reliability index. Considering the relationship of the hydraulic subsystem among the components, hydraulic components Bayesian Network is constructed to analyze time series HSOR. Furthermore, the sensitivity of HSOR features to fault location is assessed using categorical boosting (CatBoost) and Shapley Additive ex-Planations values. Through the analysis of two flights hydraulic system QAR datasets, it is revealed that (a) HSOR can accurately monitor the time series operating states of the hydraulic system; and (b) with demonstrating two illustrative case, the HSOR values and features sensitivity analysis can be a useful reference for the fault diagnosis and location of the airplane hydraulic system. The study intends to develop a practical reference approach for hydraulic system fault diagnosis and location using QAR data." @default.
• W4318958045 created "2023-02-03" @default.
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• W4318958045 date "2023-02-21" @default.
• W4318958045 modified "2023-09-26" @default.
• W4318958045 title "Operation reliability monitoring towards fault diagnosis of airplane hydraulic system using Quick Access Recorder flight data" @default.
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• W4318958045 doi "https://doi.org/10.1088/1361-6501/acb83c" @default.
• W4318958045 hasPublicationYear "2023" @default.
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