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1.发明申请公开(公告)号：US20210319636A1
公开(公告)日：2021-10-14
申请号：US17155364
申请日：2021-01-22
发明人： Raj Mohan Bharadwaj , Kyusung Kim , Kwong Wing Au , Paul Frederick Dietrich , Piyush Ranade , Andrew Peter Vechart , Megan Hawley , Abraham Reddy , Craig Schimmel , David Daniel Lilly
IPC分类号： G07C5/08 , B64F5/60 , G06F16/22 , G06F16/955
摘要： A method in an aircraft of using prognostic indicators for aircraft maintenance includes retrieving aircraft health data for a plurality of aircraft components wherein the aircraft health data includes at least one of mechanical systems condition indicator (CI) data, vibration spectrum data, resampled time-domain (RTD) data, and RTD spectrum data. The method includes estimating component health status information for the plurality of aircraft components using a plurality of prognostic modules wherein each prognostic module is configured to generate health status information for at least one of the aircraft components, the health status information includes at least one of a current health indicator and a prognostic indicator. The method also includes storing the component health status information for the aircraft components in a database onboard the aircraft, and causing the display of the health status information for the specific component on an aircraft display.
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2.发明授权公开(公告)号：US12080114B2
公开(公告)日：2024-09-03
申请号：US17155364
申请日：2021-01-22
发明人： Raj Mohan Bharadwaj , Kyusung Kim , Kwong Wing Au , Paul Frederick Dietrich , Piyush Ranade , Andrew Peter Vechart , Megan Hawley , Abraham Reddy , Craig Schimmel , David Daniel Lilly
IPC分类号： G07C5/08 , B64F5/60 , G06F16/22 , G06F16/955
CPC分类号： G07C5/0816 , B64F5/60 , G06F16/22 , G06F16/955 , G07C5/0841
摘要： A method in an aircraft of using prognostic indicators for aircraft maintenance includes retrieving aircraft health data for a plurality of aircraft components wherein the aircraft health data includes at least one of mechanical systems condition indicator (CI) data, vibration spectrum data, resampled time-domain (RTD) data, and RTD spectrum data. The method includes estimating component health status information for the plurality of aircraft components using a plurality of prognostic modules wherein each prognostic module is configured to generate health status information for at least one of the aircraft components, the health status information includes at least one of a current health indicator and a prognostic indicator. The method also includes storing the component health status information for the aircraft components in a database onboard the aircraft, and causing the display of the health status information for the specific component on an aircraft display.
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公开(公告)号：US11009863B2
公开(公告)日：2021-05-18
申请号：US16008621
申请日：2018-06-14
摘要： A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided. The method comprises: receiving sensor data during the build of a metallic component using the AM process wherein the sensor data includes time-series temperature data of a surface of the metallic component recorded by a photodiode and time-series temperature data of a surface of the metallic component recorded by a pyrometer; receiving ICME (Integrated Computational Materials Engineering) model output data for building the component wherein the ICME model output data includes predicted melt pool dimensions time-series data, predicted melt temperature time-series data, and predicted defects forming as a result of melt pool evolution and movement; and estimating using the received sensor data and the received ICME model output data one or more material properties associated with the metallic component using a material property prediction module configured to predict one or more of the material properties.
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4.发明申请公开(公告)号：US20190279443A1
公开(公告)日：2019-09-12
申请号：US15916874
申请日：2018-03-09
发明人： Raj Mohan Bharadwaj , Kyusung Kim , Kwong Wing Au , Paul Frederick Dietrich , Piyush Ranade , Andrew Peter Vechart , Megan Hawley , Abraham Reddy , Craig Schimmel , David Daniel Lilly
摘要： A method in an aircraft of using prognostic indicators for aircraft maintenance includes retrieving aircraft health data for a plurality of aircraft components wherein the aircraft health data includes at least one of mechanical systems condition indicator (CI) data, vibration spectrum data, resampled time-domain (RTD) data, and RTD spectrum data. The method includes estimating component health status information for the plurality of aircraft components using a plurality of prognostic modules wherein each prognostic module is configured to generate health status information for at least one of the aircraft components, the health status information includes at least one of a current health indicator and a prognostic indicator. The method also includes storing the component health status information for the aircraft components in a database onboard the aircraft, and causing the display of the health status information for the specific component on an aircraft display.
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公开(公告)号：US20210191381A1
公开(公告)日：2021-06-24
申请号：US17190988
申请日：2021-03-03
摘要： A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided. The method comprises: receiving sensor data during the build of a metallic component using the AM process wherein the sensor data includes time-series temperature data of a surface of the metallic component recorded by a photodiode and time-series temperature data of a surface of the metallic component recorded by a pyrometer; receiving ICME (Integrated Computational Materials Engineering) model output data for building the component wherein the ICME model output data includes predicted melt pool dimensions time-series data, predicted melt temperature time-series data, and predicted defects forming as a result of melt pool evolution and movement; and estimating using the received sensor data and the received ICME model output data one or more material properties associated with the metallic component using a material property prediction module configured to predict one or more of the material properties.
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6.发明授权公开(公告)号：US10909781B2
公开(公告)日：2021-02-02
申请号：US15916874
申请日：2018-03-09
发明人： Raj Mohan Bharadwaj , Kyusung Kim , Kwong Wing Au , Paul Frederick Dietrich , Piyush Ranade , Andrew Peter Vechart , Megan Hawley , Abraham Reddy , Craig Schimmel , David Daniel Lilly
IPC分类号： G07C5/08 , B64F5/60 , G06F16/22 , G06F16/955
摘要： A method in an aircraft of using prognostic indicators for aircraft maintenance includes retrieving aircraft health data for a plurality of aircraft components wherein the aircraft health data includes at least one of mechanical systems condition indicator (CI) data, vibration spectrum data, resampled time-domain (RTD) data, and RTD spectrum data. The method includes estimating component health status information for the plurality of aircraft components using a plurality of prognostic modules wherein each prognostic module is configured to generate health status information for at least one of the aircraft components, the health status information includes at least one of a current health indicator and a prognostic indicator. The method also includes storing the component health status information for the aircraft components in a database onboard the aircraft, and causing the display of the health status information for the specific component on an aircraft display.
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公开(公告)号：US20190384274A1
公开(公告)日：2019-12-19
申请号：US16008621
申请日：2018-06-14
摘要： A computer-implemented method for predicting material properties in an Additive Manufacturing (AM) process is provided. The method comprises: receiving sensor data during the build of a metallic component using the AM process wherein the sensor data includes time-series temperature data of a surface of the metallic component recorded by a photodiode and time-series temperature data of a surface of the metallic component recorded by a pyrometer; receiving ICME (Integrated Computational Materials Engineering) model output data for building the component wherein the ICME model output data includes predicted melt pool dimensions time-series data, predicted melt temperature time-series data, and predicted defects forming as a result of melt pool evolution and movement; and estimating using the received sensor data and the received ICME model output data one or more material properties associated with the metallic component using a material property prediction module configured to predict one or more of the material properties.
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