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1.
公开(公告)号:US20190102957A1
公开(公告)日:2019-04-04
申请号:US15721533
申请日:2017-09-29
Applicant: THE BOEING COMPANY
Inventor: David J. Huber , Alex N. Waagen , Qin Jiang , Tsai-Ching Lu
Abstract: A method and apparatus for maintaining an aircraft. Real-time event information indicating faults in systems on the aircraft and aircraft condition monitoring system data indicating conditions of the systems on the aircraft are stored during a plurality of legs of flights of the aircraft. A feature table comprising the real-time event information and the aircraft condition monitoring system data is built. Feature vectors are extracted from the feature table. A machine learning algorithm is applied to the extracted feature vectors to generate a predicted maintenance event message that identifies a predicted maintenance event. The predicted maintenance event message is used to perform a maintenance operation on the aircraft.
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2.
公开(公告)号:US10650614B2
公开(公告)日:2020-05-12
申请号:US15721533
申请日:2017-09-29
Applicant: THE BOEING COMPANY
Inventor: David J. Huber , Alex N. Waagen , Qin Jiang , Tsai-Ching Lu
Abstract: A method and apparatus for maintaining an aircraft. Real-time event information indicating faults in systems on the aircraft and aircraft condition monitoring system data indicating conditions of the systems on the aircraft are stored during a plurality of legs of flights of the aircraft. A feature table comprising the real-time event information and the aircraft condition monitoring system data is built. Feature vectors are extracted from the feature table. A machine learning algorithm is applied to the extracted feature vectors to generate a predicted maintenance event message that identifies a predicted maintenance event. The predicted maintenance event message is used to perform a maintenance operation on the aircraft.
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