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    Fault detection system and method for vehicle system prognosis
    1.
    发明授权
    Fault detection system and method for vehicle system prognosis 有权

    公开(公告)号：US11113905B2

    公开(公告)日：2021-09-07

    申请号：US16776867

    申请日：2020-01-30

    Applicant: The Boeing Company

    Inventor： Dmitriy Korchev ,  Charles E. Martin ,  Tsai-Ching Lu ,  Steve Slaughter ,  Alice A. Murphy ,  Christopher R. Wezdenko

    IPC: G07C5/08 ,  H04L29/08 ,  H04L29/06 ,  H04L29/14

    Abstract: A fault detection system including one or more sensors onboard a vehicle to detect a characteristic of the vehicle and generate sensor signals corresponding to the characteristic, a processor onboard the vehicle to receive the sensor signals, generate one or more fast Fourier transform vectors based on the sensor signals so that the one or more fast Fourier transform vectors are representative of the characteristic, generate an analysis model from a time history of the fast Fourier transform vectors, and determine, using the analysis model, a degree to which the one or more fast Fourier transform vectors could have been generated by the analysis model, and an indicator to communicate an operational status of the vehicle to an operator or crew member of the vehicle based on the degree to which the one or more fast Fourier transform vectors could have been generated by the analysis model.

    Methods And Systems For Identifying Associated Events in an Aircraft
    2.
    发明申请
    Methods And Systems For Identifying Associated Events in an Aircraft 审中-公开

    公开(公告)号：US20200047914A1

    公开(公告)日：2020-02-13

    申请号：US16057490

    申请日：2018-08-07

    Applicant: The Boeing Company

    Inventor： Charles E. Martin ,  Tsai-Ching Lu ,  Alex Waagen ,  Steve C. Slaughter ,  Alice A. Murphy ,  Derek S. Fok

    IPC: B64D45/00 ,  G07C5/08

    Abstract: In an example, a method for identifying associated events in an aircraft is described. The method includes obtaining sensor data, obtaining fault code data, generating a set of events, where each event occurs over a time interval over which either (i) the sensor data indicates an anomalous measurement or (ii) a fault code associated with a particular aircraft subsystem of the aircraft was signaled, calculating a value of statistical dependence between the set, based on the value exceeding a threshold, constructing a network representing the set as a sequence of related events and further representing a temporal order in which the sequence occurred, indexing, in a summary table stored in memory and separate from the sensor data and the fault code data, the sequence and the value, and controlling a display device to display the summary table and a visual representation of the network.

    Methods and systems for inferred information propagation for aircraft prognostics
    3.
    发明授权
    Methods and systems for inferred information propagation for aircraft prognostics 有权

    公开(公告)号：US12184518B2

    公开(公告)日：2024-12-31

    申请号：US18366294

    申请日：2023-08-07

    Applicant: THE BOEING COMPANY

    Inventor： Charles Eugene Martin ,  Tsai-Ching Lu ,  Steve Slaughter ,  Alice A. Murphy

    IPC: G06F16/2458 ,  H04L43/022 ,  H04L43/0823

    Abstract: Methods and systems are provided for inferred information propagation for aircraft prognostics. The method includes receiving, by a processor, an original time-series of data points for a component as an input; preprocessing the input to divide the original time-series of data into subsets of data by applying a time-window over the original time-series of data points; and computing, by the processor, a Mutual Information (MI) value for each pair of variables within each subset of data. The method also includes constructing, by the processor, a sequence of relationship graphs using the computed MI values; clustering, by the processor, each relationship graph; and analyzing, by the processor, the time-ordered sequence of clustered relationship graphs to identify features in the component.

    ANOMALY PREDICTION AND DETECTION FOR AIRCRAFT EQUIPMENT
    4.
    发明申请
    ANOMALY PREDICTION AND DETECTION FOR AIRCRAFT EQUIPMENT 有权

    公开(公告)号：US20210319633A1

    公开(公告)日：2021-10-14

    申请号：US16843220

    申请日：2020-04-08

    Applicant: THE BOEING COMPANY

    Inventor： Dmitriy Korchev ,  Charles E. Martin ,  Tsai-Ching Lu ,  Steve C. Slaughter ,  Alice A. Murphy ,  Derek Samuel Fok

    IPC: G07C5/08 ,  G07C5/00 ,  B64F5/60 ,  B64D45/00

    Abstract: A method includes obtaining sensor data captured by a sensor of an aircraft during a power up event. The sensor data includes multiple parameter values, each corresponding to a sample period. The method further includes determining a set of delta values, each indicating a difference between parameter values for consecutive sample periods of the sensor data. The method further includes determining a set of quantized delta values by assigning the delta values to quantization bins based on magnitudes of the delta values. The method further includes determining a normalized count of delta values for each quantization bin. The method further includes comparing the normalized counts of delta values to anomaly detection thresholds. The method further includes generating, based on the comparisons, output indicating whether the sensor data is indicative of an operational anomaly.

    System and method for remaining useful life determination
    5.
    发明授权
    System and method for remaining useful life determination 有权

    公开(公告)号：US10699040B2

    公开(公告)日：2020-06-30

    申请号：US15670289

    申请日：2017-08-07

    Applicant: The Boeing Company

    Inventor： Charles E. Martin ,  Tsai-Ching Lu ,  Samuel D. Johnson ,  Steve Slaughter ,  Alice A. Murphy ,  Christopher R. Wezdenko

    IPC: G06F30/20 ,  G06N20/00 ,  G07C5/08 ,  G05B23/02

    Abstract: A vehicle system prognosis apparatus including sensor(s) for detecting a characteristic of a vehicle system and generating at least one time series of condition indicator values, and a processor that receives the at least one time series and generates an analysis model, for the characteristic, that is trained with one or more of the at least one time series, that are obtained from the one or more sensors with the vehicle system operating under normal conditions, extracts from the at least one time series one or more features embodying an indication of a health of the vehicle system, generates a quantified health assessment of the vehicle system by quantifying the one or more features based on a normal distribution of the one or more features from the analysis model, and communicates the quantified health assessment of the vehicle system to an operator or crew member of the vehicle.

    METHODS AND SYSTEMS FOR INFERRED INFORMATION PROPAGATION FOR AIRCRAFT PROGNOSTICS
    7.
    发明公开
    METHODS AND SYSTEMS FOR INFERRED INFORMATION PROPAGATION FOR AIRCRAFT PROGNOSTICS 审中-公开

    公开(公告)号：US20230388202A1

    公开(公告)日：2023-11-30

    申请号：US18366294

    申请日：2023-08-07

    Applicant: THE BOEING COMPANY

    Inventor： Charles Eugene Martin ,  Tsai-Ching Lu ,  Steve Slaughter ,  Alice A. Murphy

    IPC: H04L43/022 ,  H04L43/0823 ,  G06F16/2458

    CPC classification number: H04L43/022 ,  H04L43/0823 ,  G06F16/2477

    Abstract: Methods and systems are provided for inferred information propagation for aircraft prognostics. The method includes receiving, by a processor, an original time-series of data points for a component as an input; preprocessing the input to divide the original time-series of data into subsets of data by applying a time-window over the original time-series of data points; and computing, by the processor, a Mutual Information (MI) value for each pair of variables within each subset of data. The method also includes constructing, by the processor, a sequence of relationship graphs using the computed MI values; clustering, by the processor, each relationship graph; and analyzing, by the processor, the time-ordered sequence of clustered relationship graphs to identify features in the component.

    Anomaly prediction and detection for aircraft equipment
    8.
    发明授权
    Anomaly prediction and detection for aircraft equipment 有权

    公开(公告)号：US11580794B2

    公开(公告)日：2023-02-14

    申请号：US16843220

    申请日：2020-04-08

    Applicant: THE BOEING COMPANY

    Inventor： Dmitriy Korchev ,  Charles E. Martin ,  Tsai-Ching Lu ,  Steve C. Slaughter ,  Alice A. Murphy ,  Derek Samuel Fok

    IPC: G07C5/08 ,  B64F5/40 ,  B64D45/00 ,  G07C5/00 ,  B64F5/60

    Abstract: A method includes obtaining sensor data captured by a sensor of an aircraft during a power up event. The sensor data includes multiple parameter values, each corresponding to a sample period. The method further includes determining a set of delta values, each indicating a difference between parameter values for consecutive sample periods of the sensor data. The method further includes determining a set of quantized delta values by assigning the delta values to quantization bins based on magnitudes of the delta values. The method further includes determining a normalized count of delta values for each quantization bin. The method further includes comparing the normalized counts of delta values to anomaly detection thresholds. The method further includes generating, based on the comparisons, output indicating whether the sensor data is indicative of an operational anomaly.

    METHODS AND SYSTEMS FOR INFERRED INFORMATION PROPAGATION FOR AIRCRAFT PROGNOSTICS
    10.
    发明申请
    METHODS AND SYSTEMS FOR INFERRED INFORMATION PROPAGATION FOR AIRCRAFT PROGNOSTICS 审中-公开
    用于航空器预报的信息传播的方法和系统

    公开(公告)号：US20160292302A1

    公开(公告)日：2016-10-06

    申请号：US14676542

    申请日：2015-04-01

    Applicant: THE BOEING COMPANY

    Inventor： Charles Eugene Martin ,  Tsai-Ching Lu ,  Steve Slaughter ,  Alice A. Murphy

    IPC: G06F17/30 ,  H04L12/26

    CPC classification number: H04L43/022 ,  G06F16/2477 ,  H04L43/0823

    Abstract: Methods and systems are provided for inferred information propagation for aircraft prognostics. The method includes receiving, by a processor, an original time-series of data points for a component as an input; preprocessing the input to divide the original time-series of data into subsets of data by applying a time-window over the original time-series of data points; and computing, by the processor, a Mutual Information (MI) value for each pair of variables within each subset of data. The method also includes constructing, by the processor, a sequence of relationship graphs using the computed MI values; clustering, by the processor, each relationship graph; and analyzing, by the processor, the time-ordered sequence of clustered relationship graphs to identify features in the component.

    Abstract translation: 为飞行器预测的推断信息传播提供了方法和系统。 该方法包括由处理器接收作为输入的组件的原始时间序列的数据点; 预处理输入，通过在原始时间序列数据点上应用时间窗口将原始时间序列数据划分为数据子集; 以及由处理器计算每个数据子集内的每对变量的相互信息（MI）值。 该方法还包括使用计算的MI值由处理器构造关系图序列; 由处理器聚集每个关系图; 并且由处理器分析聚类关系图的时间有序的序列以识别组件中的特征。

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