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- W2909307984 abstract "As one key subsystem of the aircraft, Auxiliary Power Unit (APU) is mainly utilized to provide compressed air for starting the main engines. Besides, APU also supplies air conditioning and electrical power in the cabin when the aircraft is at the gate. Its reliability determines the flight quality at a large degree. In the future all-electric aircraft, APU will also be adopted to provide some additional thrust. The safety of the more/all-electric aircraft will also depend on the APU condition. Therefore, how to predict the Remaining Useful Life (RUL) of the on-wing APU has become an important research interest. In this study, one kind of data-driven RUL prediction approach for APU is proposed, which is based on the combination of mutual information and Gaussian Process Regression. By predicting the RUL of APU, the condition-based maintenance can be scheduled more reasonably and precisely. The effectiveness of the proposed approach is evaluated by utilizing the on-wing sensing data of APU APS3200 from the Shenyang Maintenance Base of China Southern Airlines Company Limited." @default.
- W2909307984 created "2019-01-25" @default.
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- W2909307984 date "2018-10-01" @default.
- W2909307984 modified "2023-09-25" @default.
- W2909307984 title "Remaining Useful Life Prediction of Aircraft Auxiliary Power Unit with On-wing Sensing Data" @default.
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- W2909307984 doi "https://doi.org/10.1109/phm-chongqing.2018.00044" @default.
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