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公开(公告)号：US20230075736A1
公开(公告)日：2023-03-09
申请号：US17406246
申请日：2021-08-19
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Subhrajit ROYCHOWDHURY , Masoud ABBASZADEH , Georgios BOUTSELIS , Joel MARKHAM
IPC: G06F21/54 , G06F21/55 , G06F21/57 , G05B19/048
Abstract: The present disclosure provides techniques for implementing self-adapting neutralization against cyber-faults within industrial assets. The disclosed neutralization techniques may include obtaining an input dataset from a plurality of nodes of industrial assets and reconstructing compromised nodes in the plurality of nodes to neutralize cyber-faults detected based on the input dataset. A confidence metric may be computed for the reconstruction of the compromised nodes, e.g., using inductive conformal prediction. Based on the confidence metric and the reconstruction of the compromised nodes, input signals from the reconstruction of the compromised nodes may be transformed, or configuration parameters for a controller of the industrial assets may be tuned.
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公开(公告)号：US20200081414A1
公开(公告)日：2020-03-12
申请号：US16127545
申请日：2018-09-11
Applicant: General Electric Company
Inventor： Subhrajit ROYCHOWDHURY , Thomas SPEARS , Justin GAMBONE, JR. , Ruijie SHI , Naresh IYER
IPC: G05B19/4099 , B33Y50/00
Abstract: A method of calibrating an additive manufacturing machine includes obtaining a model for the additive manufacturing machine, obtaining a baseline sensor data set for a particular additive manufacturing machine, creating a machine-specific nominal fingerprint for the particular additive manufacturing machine with controllable variation for one or more process inputs, producing on the particular additive manufacturing machine a test-page based object, obtaining a current sensor data set of the test-page based object on the particular additive manufacturing machine, estimating a scaling factor or a bias for each of the one or more process inputs from the current data set, and updating a calibration file for the particular additive machine if the estimated scaling error or bias are greater than a respective predetermined tolerance. A system for implementing the method and a non-transitory computer-readable medium are also disclosed.
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公开(公告)号：US20200073850A1
公开(公告)日：2020-03-05
申请号：US16122184
申请日：2018-09-05
Applicant: General Electric Company
Inventor： Subhrajit ROYCHOWDHURY , Naresh IYER
Abstract: A method of transferring operational parameter sets between different domains of additive manufacturing machines includes creating a parameter set for a first additive manufacturing machine domain, accessing a model of a second additive manufacturing machine domain, creating a second parameter set of operational settings used to operate the second additive manufacturing machine, obtaining a second sensor data suite during the operation of the second additive manufacturing machine, comparing the second sensor data suite to one or more predetermined performance thresholds to determine if a product sample is within quality assurance metrics, and if the product sample is not within the quality assurance metrics, adjusting the second parameter set. A system for implementing the method and a non-transitory computer-readable medium are also disclosed.
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公开(公告)号：US20220245048A1
公开(公告)日：2022-08-04
申请号：US17724704
申请日：2022-04-20
Applicant: General Electric Company
Inventor： Harry Kirk MATHEWS, JR. , Sarah FELIX , Subhrajit ROYCHOWDHURY , Saikat RAY MAJUMDER , Thomas SPEARS
IPC: G06F11/34 , B29C64/393 , G06F30/00 , G06F17/18
Abstract: Generating fault indications for an additive manufacturing machine based on a comparison of the outputs of multiple process models to measured sensor data. The method receiving sensor data from the additive manufacturing machine during manufacture of at least one part. Models are selected from a model database, each model generating expected sensor values for a defined condition. Difference values are computed between the received sensor data and an output of each of the models. A probability density function is computed, which defines, for each of the models, a likelihood that a given difference value corresponds to each respective model. A probabilistic rule is applied to determine, for each of the models, a probability that the corresponding model output matches the received sensor data. An indicator is output of a defined condition corresponding to a model having the highest match probability.
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5.发明申请公开(公告)号：US20200272127A1
公开(公告)日：2020-08-27
申请号：US16284409
申请日：2019-02-25
Applicant: General Electric Company
Inventor： Subhrajit ROYCHOWDHURY , Alexander CHEN , Xiaohu PING , John Erik HERSHEY
IPC: G05B19/4099 , B33Y50/00 , B29C64/386
Abstract: According to some embodiments, system and methods are provided comprising receiving, via a communication interface of a part parameter dictionary module comprising a processor, geometry data for a plurality of geometric structures forming a plurality of parts, wherein the parts are manufactured with an additive manufacturing machine; determining, using the processor of the part parameter dictionary module, a feature set for each geometric structure; generating, using the processor of the part parameter dictionary module, one of a coupon and a coupon set for the feature set; generating an optimized parameter set for each coupon, using the processor of the part parameter dictionary module, via execution of an iterative learning control process for each coupon; mapping, using the processor of the part parameter dictionary module, one or more parameters of the optimized parameter set to one or more features of the feature set; and generating a dictionary of optimized scan parameter sets to fabricate geometric structures with a material used in additive manufacturing. Numerous other aspects are provided.
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Patent Agency Ranking
公开(公告)号：US20190113907A1
公开(公告)日：2019-04-18
申请号：US15787189
申请日：2017-10-18
Applicant: General Electric Company
Inventor： Subhrajit ROYCHOWDHURY , Brian McCARTHY , Michael TUCKER , David C. BOGDAN, JR. , Michael Evans GRAHAM , William CARTER
IPC: G05B19/4099 , B22F3/105 , G06T17/00
Abstract: Some embodiments facilitate creation of an industrial asset item via a rotary additive manufacturing process. For example, a build plate may rotate about a vertical axis and move, relative to a print arm, along the vertical axis during printing. An industrial asset item definition data store may contain at least one electronic record defining the industrial asset item. A frame creation computer processor may slice the data defining the industrial asset item to create a series of two-dimensional, locally linear frames helically arranged as a spiral staircase of steps (and each step may be oriented normal to the vertical axis. Indications of the series of two-dimensional frames may then be output to be provided to a rotary three-dimensional printer.
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公开(公告)号：US20210325849A1
公开(公告)日：2021-10-21
申请号：US17360790
申请日：2021-06-28
Applicant: General Electric Company
Inventor： Subhrajit ROYCHOWDHURY , Alexander CHEN , Xiaohu PING , John Erik HERSHEY
IPC: G05B19/4099 , B33Y50/00 , B29C64/386
Abstract: According to some embodiments, system and methods are provided comprising receiving, via a communication interface of a part parameter dictionary module comprising a processor, geometry data for a plurality of geometric structures forming a plurality of parts, wherein the parts are manufactured with an additive manufacturing machine; determining, using the processor of the part parameter dictionary module, a feature set for each geometric structure; generating, using the processor of the part parameter dictionary module, one of a coupon and a coupon set for the feature set; generating an optimized parameter set for each coupon, using the processor of the part parameter dictionary module, via execution of an iterative learning control process for each coupon; mapping, using the processor of the part parameter dictionary module, one or more parameters of the optimized parameter set to one or more features of the feature set; and generating a dictionary of optimized scan parameter sets to fabricate geometric structures with a material used in additive manufacturing. Numerous other aspects are provided.
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8.发明申请公开(公告)号：US20200242496A1
公开(公告)日：2020-07-30
申请号：US16257367
申请日：2019-01-25
Applicant: General Electric Company
Inventor： Lembit SALASOO , Vipul K. GUPTA , Xiaohu PING , Subhrajit ROYCHOWDHURY , Justin GAMBONE, JR. , Naresh IYER , Xiaolei SHI , Mengli WANG
Abstract: Determining a quality score for a part manufactured by an additive manufacturing machine based on build parameters and sensor data without the need for extensive physical testing of the part. Sensor data is received from the additive manufacturing machine during manufacture of the part using a first set of build parameters. The first set of build parameters is received. A first algorithm is applied to the first set of build parameters and the received sensor data to generate a quality score. The first algorithm is trained by receiving a reference derived from physical measurements performed on at least one reference part built using a reference set of build parameters. The quality score is output via the communication interface of the device.
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公开(公告)号：US20190163167A1
公开(公告)日：2019-05-30
申请号：US15824206
申请日：2017-11-28
Applicant: General Electric Company
Inventor： Subhrajit ROYCHOWDHURY , Brian McCARTHY , Michael TUCKER , David C BOGDAN, JR. , Michael Evans GRAHAM , William CARTER , Victor OSTROVERKHOV
IPC: G05B19/4099
Abstract: Some embodiments facilitate creation of an industrial asset item via an additive manufacturing process wherein motion is provided between a build plate and a print arm. A correction engine may receive, from an industrial asset item definition data store containing at least one electronic record defining the industrial asset item, the data defining the industrial asset item. A correction engine computer processor may then correct the motion provided between the build plate and the print arm such that the motion deviates from a path indicated by the data defining the industrial asset item. The three-dimension printer may be a rotary printer such that the build plate rotates about a vertical axis and moves along the vertical axis during printing. In these cases, a pre-compensation algorithm may be applied to correct the motion provided between the build plate and the print arm before transmitting data to the three-dimensional additive manufacturing printer.
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公开(公告)号：US20230071394A1
公开(公告)日：2023-03-09
申请号：US17406205
申请日：2021-08-19
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Subhrajit ROYCHOWDHURY , Masoud ABBASZADEH , Georgios BOUTSELIS , Joel MARKHAM
Abstract: The present disclosure relates to techniques for detecting cyber-faults in industrial assets. Such techniques may include obtaining an input dataset from a plurality of nodes of industrial assets and predicting fault nodes in the plurality of nodes by inputting the input dataset to a one-class classifier. The one-class classifier may be trained on normal operation data obtained during normal operations of the industrial assets. Further, the cyber-fault detection techniques may include computing a confidence level of cyber fault detection for the input dataset using the one-class classifier and adjusting decision thresholds based on the confidence level for categorizing the input dataset as normal or including cyber-faults. The predicted fault nodes and the adjusted decision thresholds may be used for detecting cyber-faults in the plurality of nodes of the industrial assets.
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