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1.发明申请公开(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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公开(公告)号：US10787278B2
公开(公告)日：2020-09-29
申请号：US15721494
申请日：2017-09-29
Applicant: THE BOEING COMPANY
Inventor： David J. Huber , Nigel D. Stepp , Tsai-Ching Lu
Abstract: A method and apparatus for maintaining a vehicle, such as an aircraft. A plurality of maintenance messages generated during operation of the vehicle are stored to form a plurality of stored maintenance messages. The stored maintenance messages are filtered to remove from the stored maintenance messages those maintenance messages that are correlated to minimum equipment list actions to form filtered stored maintenance messages. A predicted maintenance message is generated from the filtered stored maintenance messages by applying a machine learning algorithm to the filtered stored maintenance messages. The predicted maintenance message may be used to perform a maintenance operation on the vehicle.
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3.发明授权公开(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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公开(公告)号：US20190100335A1
公开(公告)日：2019-04-04
申请号：US15721494
申请日：2017-09-29
Applicant: THE BOEING COMPANY
Inventor： David J. Huber , Nigel D. Stepp , Tsai-Ching Lu
Abstract: A method and apparatus for maintaining a vehicle, such as an aircraft. A plurality of maintenance messages generated during operation of the vehicle are stored to form a plurality of stored maintenance messages. The stored maintenance messages are filtered to remove from the stored maintenance messages those maintenance messages that are correlated to minimum equipment list actions to form filtered stored maintenance messages. A predicted maintenance message is generated from the filtered stored maintenance messages by applying a machine learning algorithm to the filtered stored maintenance messages. The predicted maintenance message may be used to perform a maintenance operation on the vehicle.
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