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公开(公告)号：US09359087B2
公开(公告)日：2016-06-07
申请号：US14222321
申请日：2014-03-21
Applicant: The Boeing Company
Inventor： John E. Harrison , David S. Kinney , James L. Millar , Matthew D. Smith
CPC classification number: B64D45/00 , G07C5/0808 , G08B21/00 , G08B23/00
Abstract: A method includes receiving, at a computing device, vehicle condition data from a vehicle monitoring system of a vehicle. The method also includes analyzing the vehicle condition data based on a trigger table, and based on a determination that the vehicle condition data satisfies a particular trigger condition specified in the trigger table, adding an entry in an alert evaluation queue.
Abstract translation: 一种方法包括在计算设备处接收来自车辆的车辆监控系统的车辆状况数据。 该方法还包括基于触发表来分析车辆状态数据，并且基于车辆状态数据满足在触发表中指定的特定触发条件的确定，在警报评估队列中添加条目。
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公开(公告)号：US09663223B1
公开(公告)日：2017-05-30
申请号：US14176577
申请日：2014-02-10
Applicant: The Boeing Company
Inventor： John E. Harrison , John D. Anderson , Paul Giesman
IPC: B64C19/00
CPC classification number: B64C19/00 , B64C25/426
Abstract: Methods, systems, and computer-readable media are described herein for assessing aircraft braking performance and runway friction conditions. Aircraft data corresponding to characteristics of an aircraft during a landing event is received and used with a braking performance model to determine an indicator of braking performance. Estimated and brake metered pressures are compared to determine whether a friction-limited condition exists. The data then can be used to make an assessment of the runway friction characteristics and the associated braking capabilities of the runway.
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公开(公告)号：US11816590B2
公开(公告)日：2023-11-14
申请号：US16782480
申请日：2020-02-05
Applicant: THE BOEING COMPANY
Inventor： Shahriar Alam , Qin Jiang , Franz D. Betz , Tsai-Ching Lu , John E. Harrison , John L. Ross
Abstract: A method, system, and computer program product for predicting abnormal operation of at least one component of a machine is provided. Real time monitoring data from an operating machine is received and monitoring features that are informative of likely abnormal operation are extracted and/or calculated. The monitoring features are applied to a prediction matrix that outputs probabilities of abnormal operation within one or more prediction time horizons. If the output probabilities exceed a threshold probability, then an alert can be output. Maintenance can be automatically scheduled in response to the alert.
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公开(公告)号：US10558929B2
公开(公告)日：2020-02-11
申请号：US15169233
申请日：2016-05-31
Applicant: THE BOEING COMPANY
Inventor： Shahriar Alam , Qin Jiang , Franz D. Betz , Tsai-Ching Lu , John E. Harrison , John L. Ross
Abstract: A method, system, and computer program product for predicting abnormal operation of at least one component of a machine is provided. Real time monitoring data from an operating machine is received and monitoring features that are informative of likely abnormal operation are extracted and/or calculated. The monitoring features are applied to a prediction matrix that outputs probabilities of abnormal operation within one or more prediction time horizons. If the output probabilities exceed a threshold probability, then an alert can be output. Maintenance can be automatically scheduled in response to the alert.
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