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.

公开(公告)号：US11598880B2

公开(公告)日：2023-03-07

申请号：US16151499

申请日：2018-10-04

Applicant: The Boeing Company

Inventor： Tsai-Ching Lu ,  Charles E. Martin ,  Stephen C. Slaughter ,  Richard Patrick

IPC: G01S19/20 ,  G05B23/02 ,  B64D45/00

Abstract: An apparatus for detecting a fault state of an aircraft is provided. The apparatus accesses a training set of flight data for the aircraft. The training set includes observations of the flight data, each observation of the flight data includes measurements of properties selected and transformed into a set of features. The apparatus builds a generative adversarial network including a generative model and a discriminative model using the training set and the set of features, and builds an anomaly detection model to predict the fault state of the aircraft. The anomaly detection model is trained using the training set of flight data, simulated flight data generated by the generative model, and a subset of features from the set of features. The apparatus deploys the anomaly detection model to predict the fault state of the aircraft using additional observations of the flight data.

公开(公告)号：US20220398550A1

公开(公告)日：2022-12-15

申请号：US17654199

申请日：2022-03-09

Applicant: The Boeing Company

Inventor： Kang-Yu Ni ,  Tsai-Ching Lu ,  Alexander Norman Waagen ,  Aruna Rani Jammalamadaka ,  Charles Eugene Martin ,  Alice Ann Murphy ,  Derek Samuel Fok ,  Kirby Joe Keller ,  Douglas Peter Knapp

IPC: G06Q10/00

Abstract: A method, apparatus, system, and computer program product for managing a platform. Sensor information for a platform health of the platform is received from a sensor system for the platform. The sensor information for the platform health of the platform is sent by a computer system into a machine learning model trained using historical sensor information indicating a historical platform health and historical context information corresponding to the historical sensor information in which the historical context information is for a set of operating conditions. A remaining useful life of a component in the platform is received by the computer system from the machine learning model.

公开(公告)号：US20220327943A1

公开(公告)日：2022-10-13

申请号：US17644700

申请日：2021-12-16

Applicant: THE BOEING COMPANY

Inventor： Nigel Stepp ,  Tsai-Ching Lu ,  Franz David Betz

IPC: G08G5/00 ,  G07C5/00 ,  G07C5/08

Abstract: A method includes obtaining a plurality of data sets, where each data set of the plurality of data sets includes multivariate time series data for a respective sample period of a plurality of sample periods. The method also includes, for each data set of the plurality of data sets, determining recurrence data indicative of recurrent states in the data set and determining, based on the recurrence data, determinism values of a determinism metric and laminarity values of a laminarity metric. The method further includes determining that a particular data set of the plurality of data sets includes data representing an anomalous state based on a determinism-laminarity curve representing the particular data set, where the determinism-laminarity curve is based on the determinism values of the particular data set and the laminarity values of the particular data set. The method also includes generating output data indicating the anomalous state.

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.

公开(公告)号：US10964132B2

公开(公告)日：2021-03-30

申请号：US15966188

申请日：2018-04-30

Applicant: THE BOEING COMPANY

Inventor： Rashmi Sundareswara ,  Tsai-Ching Lu ,  Franz D. Betz

IPC: G07C5/08 ,  B64D45/00 ,  G07C5/00 ,  G06N20/00

Abstract: An apparatus for detecting fault states of an aircraft is provided. The apparatus receives training data including operational parameters of the aircraft operating over a plurality of training flight legs and applies a first clustering algorithm separately to the training data to produce first clustered data. The apparatus applies a second clustering algorithm to the first clustered data to produce second clustered data that indicates a plurality of states describing behavior of the aircraft operating over the training legs and applies a third clustering algorithm to identify one or more fault states of the aircraft from the plurality of states based on the training data and the second clustered data. The apparatus receives messages carrying data from the aircraft over a digital datalink, detects a fault state of the one or more fault states from the data, and generates an alert of the fault state.

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.

公开(公告)号：US20180114376A1

公开(公告)日：2018-04-26

申请号：US15332479

申请日：2016-10-24

Applicant: The Boeing Company

Inventor： Tsai-Ching Lu ,  Nigel Stepp ,  Franz David Betz

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

CPC classification number: G07C5/008 ,  B64D45/00 ,  B64D2045/0085 ,  G05B23/0272 ,  G05B23/0281 ,  G07C5/0808 ,  G07C5/0825

Abstract: A system for monitoring aircraft operational messages is provided. The system includes a computing device including a processor in communication with a memory. The computing device is programmed to receive a plurality of historical messages for a plurality of aircraft. Each message of the plurality of historical messages is a message from one of the plurality of aircraft. The computing device is also programmed to receive a plurality of historical maintenance operations performed on the plurality of aircraft, compare the plurality of historical messages to the plurality of historical maintenance operations to determine at least one message type associated with at least one maintenance operation type, and generate a plurality of message type correlations between message types and maintenance operation types based on the comparison.

公开(公告)号：US09916702B2

公开(公告)日：2018-03-13

申请号：US14510277

申请日：2014-10-09

Applicant: THE BOEING COMPANY

Inventor： Alexey Rudenko ,  Tsai-Ching Lu ,  Craig A. Lee ,  Franz David Betz

IPC: G06Q10/06 ,  G07C5/08

CPC classification number: G07C5/0808

Abstract: A vehicle may include at least one operative sub-system that includes at least one sensor configured to output one or more sensor signals related to the at least one operative sub-system. A monitoring system is in communication with the operative sub-system(s). The monitoring system is configured to correlate the one or more sensor signals with respect to time, compile initial statistics of the one or more sensor signals with respect to a plurality of variables; and correlate the plurality of variables.

公开(公告)号：US20160104329A1

公开(公告)日：2016-04-14

申请号：US14510294

申请日：2014-10-09

Applicant: THE BOEING COMPANY

Inventor： Rashmi N. Sundareswara ,  Tsai-Ching Lu ,  Franz David Betz

IPC: G07C5/02 ,  G01M17/00 ,  G07C5/08

CPC classification number: G01M17/00 ,  G07C5/006 ,  G07C5/0816

Abstract: A vehicle may include at least one operative sub-system that includes at least one sensor configured to output one or more sensor signals related to the at least one operative sub-system. A fault detection system may be in communication with the operative sub-system(s). The fault detection system is configured to generate at least one early warning signal based on the one more sensor signals, and determine at least one derivative of the early warning signal(s).

Abstract translation: 车辆可以包括至少一个操作子系统，其包括被配置为输出与至少一个操作子系统相关的一个或多个传感器信号的至少一个传感器。 故障检测系统可以与操作子系统通信。 所述故障检测系统被配置为基于所述多个传感器信号产生至少一个预警信号，并且确定所述预警信号的至少一个导数。