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公开(公告)号：US20210312284A1
公开(公告)日：2021-10-07
申请号：US17261040
申请日：2018-08-23
Applicant: Siemens Aktiengesellschaft
Inventor： Arindam Dasgupta , Feipeng Zhao , Charles A. Carlson, Jr. , Chao Yuan , Amit Chakraborty
Abstract: A system for verification of the output of a sensor includes an industrial system comprising a plurality of sensors, one of the plurality of sensors being a target sensor, a plurality of machine learning networks, each machine learning network connecting a plurality of driving sensors associated with the target sensor and trained using simulation data. a selected machine learning network from the plurality of machine learning networks having an output representative of the target sensor, the selected machine learning network being trained with real-time data from the industrial plant and a processor for comparing an output of the selected machine learning network to a real output of the target sensor. Based on the comparison, the real sensor output is provided as final output when the values match, and the estimated value is output when the values do not match and the sensor output is flagged as an error.
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公开(公告)号：US20210279853A1
公开(公告)日：2021-09-09
申请号：US16810129
申请日：2020-03-05
Applicant: Siemens Aktiengesellschaft
Inventor： Arindam Dasgupta , Biswadip Dey , Anand A. Kulkarni , Amit Chakraborty
Abstract: A computer-implemented method for assessing material microstructure of a machine component involves obtaining a raw image of a section of the component captured via a microscope. The method further includes pre-processing the raw image to generate a ternary image defined by pixel data including three levels of intensities. The method further includes identifying, from the ternary image, phase boundaries delineating at a phase in a primary constituent material of the component. The method further includes determining a volume associated with the phase based on the identified phase boundaries. The proposed method may be utilized, for example, as an automated tool for assessing material degradation and for quality control of gas turbine engine components.
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公开(公告)号：US20200080796A1
公开(公告)日：2020-03-12
申请号：US16516467
申请日：2019-07-19
Applicant: Siemens Aktiengesellschaft
Inventor： Arindam Dasgupta , Amit Chakraborty , Anand A. Kulkarni
Abstract: 3D printed thermal management devices and corresponding methods of manufacturing are described herein. A thermal management device includes a single contiguous component. The single contiguous component includes a body, a plurality of first fins extending away from the body and a plurality of second fins extending away from the body. A surface area of each first fin of the plurality of first fins is different than a surface area of each second fin of the plurality of second fins. A fin density of the plurality of first fins is different than a fin density of the plurality of second fins.
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公开(公告)号：US11328406B2
公开(公告)日：2022-05-10
申请号：US16810129
申请日：2020-03-05
Applicant: Siemens Aktiengesellschaft
Inventor： Arindam Dasgupta , Biswadip Dey , Anand A. Kulkarni , Amit Chakraborty
Abstract: A computer-implemented method for assessing material microstructure of a machine component involves obtaining a raw image of a section of the component captured via a microscope. The method further includes pre-processing the raw image to generate a ternary image defined by pixel data including three levels of intensities. The method further includes identifying, from the ternary image, phase boundaries delineating at a phase in a primary constituent material of the component. The method further includes determining a volume associated with the phase based on the identified phase boundaries. The proposed method may be utilized, for example, as an automated tool for assessing material degradation and for quality control of gas turbine engine components.
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