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

IPC: G06N7/00 ,  G06Q10/00 ,  G06F17/11 ,  G06N7/01

CPC classification number: G06N7/01 ,  G06F17/11 ,  G06Q10/00

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.

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

IPC: G06N7/00 ,  G06F17/11

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.