Patents by Inventor Felix Buggenthin
Felix Buggenthin has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 12145318Abstract: An apparatus and method for monitoring a quality of an object of a 3D-print job series of identical objects, each object built from a multitude of stacked 2D-layers printed by a 3D-printer in an additive manufacturing process, including: determining a layer quality indicator of a currently printed layer of an object, comparing the determined layer quality indicator of the currently printed layer with a predetermined lower confidence limit of the layer, the predetermined lower confidence limit being calculated depending on layer quality indicators of previously completely manufactured objects complying with predefined quality requirements, and generating a warning signal, if the layer quality indicator of the currently printed layer has a value equal or lower than the lower quality limit is provided.Type: GrantFiled: September 19, 2018Date of Patent: November 19, 2024Assignee: Siemens AktiengesellschaftInventors: Felix Buggenthin, Siegmund Düll, Mitchell Joblin, Clemens Otte, Axel Reitinger, Victor Balanica, Michael Caelers, Jonas Eriksson, Jerry Fornander, Andreas Graichen, Vincent Sidenvall
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Patent number: 11853051Abstract: A method and an apparatus for optimizing diagnostics of rotating equipment is provided. The apparatus includes a device for providing status information about status of the rotating equipment over a series of time windows whereby status can be derived from sensor features of at least one available sensor taking measurements during a predefinable time period, a device for using deep learning which combines provided historic sensor information with sequence of events data indicating warnings and/or alerts of the rotating equipment, whereby status information is supplemented with via deep learning predicted probabilities whether a warning and/or an alert has occurred within a time window, device for providing an amount of textual diagnostic knowledge cases, device for extracting semantic information on text features from the textual diagnostic knowledge cases, and device for combining status information and semantic information into a unified representation enabling optimization of the diagnostics.Type: GrantFiled: March 7, 2017Date of Patent: December 26, 2023Inventors: Bernt Andrassy, Mark Buckley, Felix Buggenthin, Giuseppe Fabio Ceschini, Thomas Hubauer, Denis Krompaß, Mikhail Roshchin, Sigurd Spieckermann, Michael Werner, Richard Arnatt, Almir Avdovic, Zlatan Cota, Davood Naderi
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Publication number: 20230021099Abstract: A method for checking samples for defects is provided, in which image data of the samples are recorded and classified into predeterminable defect categories by a defect detection algorithm, and the samples classified into a defect category are represented in a multi-dimensional confusion matrix as a classification result of the defect detection algorithm, characterized in that—miniature images which reproduce the image data are assigned according to the classified defect categories of the image data to segments of the confusion matrix which represent the defect categories, and these miniature images are displayed visually, —the miniature image is assigned by an interaction with a user or a software robot to a different segment from the assigned segment of the confusion matrix, and is either provided as training image data for the defect detection algorithm or is output as training image data for the defect detection algorithm.Type: ApplicationFiled: November 16, 2020Publication date: January 19, 2023Inventors: Silvio Becher, Felix Buggenthin, Johannes Kehrer, Ingo Thon, Stefan Hagen Weber
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Patent number: 11501030Abstract: The present disclosure relates to the automatic generation of characterized image data. For this purpose, a visual representation of a component is computed on the basis of existent structure data for the component, wherein the surface properties of the visual representation of the component may be varied based on predefined characteristic properties. Because, in the computation of such visual representations, both the component itself and the underlying characteristic surface properties are known, this information may be used for characterizing the corresponding parts in the visual representation in order to achieve automatic characterization of the computed visual representation.Type: GrantFiled: July 27, 2018Date of Patent: November 15, 2022Assignee: Siemens AktiengesellschaftInventors: Felix Buggenthin, Ulli Waltinger
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Patent number: 11467568Abstract: Provided is a method for computer-aided processing of quality information of an object manufactured by stacked printed layers in an additive manufacturing system, including the steps of: receiving a quality indicator for each printed layer of the object from the manufacturing system, assigning a color out of a predefined set of colors to each quality indicator depending on the value of the quality indicator, visualizing the quality indicators of the received manufactured layers as a sequence of colored bars ordered according to the sequence of the manufactured layers the color of each bar indicating the value of the quality indicator of the respective printed layer on a graphical user interface.Type: GrantFiled: September 21, 2018Date of Patent: October 11, 2022Inventors: Felix Buggenthin, Siegmund Düll, Mitchell Joblin, Clemens Otte, Axel Reitinger, Victor Balanica, Michael Caelers, Jonas Eriksson, Jerry Fornander, Andreas Graichen, Vincent Sidenvall
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Patent number: 11360467Abstract: An object recognition apparatus for automatic detection of an abnormal operation state of a machine including a machine tool operated in an operation space monitored by at least one camera configured to generate camera images of a current operation scene is provided. The generated camera images are supplied to a processor configured to analyze the current operation scene using a trained artificial intelligence module to detect objects present within the current operation scene. The processor is also configured to compare the detected objects with objects expected in an operation scene in a normal operation state of the machine to detect an abnormal operation state of the machine.Type: GrantFiled: July 17, 2018Date of Patent: June 14, 2022Assignee: SIEMENS AKTIENGESELLSCHAFTInventors: Felix Buggenthin, Tobias Jäger, Steffen Lamparter, Michal Skubacz, Ingo Thon
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Patent number: 11341395Abstract: A device for determining a spindle status of a spindle of a machine tool includes a detector for detecting sensor data of the spindle for a defined time window. A processing unit analyses the sensor data through artificial intelligence by calculating a defined feature of the sensor data for the defined time window and determining a spindle status from the sensor data. An output member outputs the determined spindle status.Type: GrantFiled: June 29, 2018Date of Patent: May 24, 2022Assignee: Siemens AktiengesellschaftInventors: Florian Büttner, Felix Buggenthin, Felix Butz, Georg Domaschke, Michael Helbig, Philipp Siegel, Werner Vom Eyser
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Publication number: 20210089016Abstract: An object recognition apparatus for automatic detection of an abnormal operation state of a machine including a machine tool operated in an operation space monitored by at least one camera configured to generate camera images of a current operation scene is provided. The generated camera images are supplied to a processor configured to analyze the current operation scene using a trained artificial intelligence module to detect objects present within the current operation scene. The processor is also configured to compare the detected objects with objects expected in an operation scene in a normal operation state of the machine to detect an abnormal operation state of the machine.Type: ApplicationFiled: July 17, 2018Publication date: March 25, 2021Inventors: Felix Buggenthin, Tobias Jäger, Steffen Lamparter, Michal Skubacz, Ingo Thon
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Patent number: 10955456Abstract: Provided is an in-field apparatus and method for automatic localization of a fault having occurred at power transmission lines of a power supply system, the in-field apparatus includes a preprocessing unit configured to process measured voltage and/or current raw time series data of the power transmission lines to provide a normalized raw data and/or feature representation of the measured raw time series data, and an artificial intelligence module configured to predict an optimal evaluation time used for evaluation of the measured voltage and/or current raw time series data to localize the fault based on the normalized raw data and/or feature representation.Type: GrantFiled: September 24, 2018Date of Patent: March 23, 2021Assignee: SIEMENS AKTIENGESELLSCHAFTInventors: Silvio Becher, Felix Buggenthin, Klaus Böhme, Florian Büttner, Matthias Kereit, Igor Kogan
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Publication number: 20200264594Abstract: Provided is a method for computer-aided processing of quality information of an object manufactured by stacked printed layers in an additive manufacturing system, including the steps of: receiving a quality indicator for each printed layer of the object from the manufacturing system, assigning a color out of a predefined set of colors to each quality indicator depending on the value of the quality indicator, visualizing the quality indicators of the received manufactured layers as a sequence of colored bars ordered according to the sequence of the manufactured layers the color of each bar indicating the value of the quality indicator of the respective printed layer on a graphical user interface.Type: ApplicationFiled: September 21, 2018Publication date: August 20, 2020Inventors: Felix Buggenthin, Siegmund Düll, Mitchell Joblin, Clemens Otte, Axel Reitinger, Victor Balanica, Michael Caelers, Jonas Eriksson, Jerry Fornander, Andreas Graichen, Vincent Sidenvall
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Publication number: 20200230884Abstract: An apparatus and method for monitoring a quality of an object of a 3D-print job series of identical objects, each object built from a multitude of stacked 2D-layers printed by a 3D-printer in an additive manufacturing process, including: determining a layer quality indicator of a currently printed layer of an object, comparing the determined layer quality indicator of the currently printed layer with a predetermined lower confidence limit of the layer, the predetermined lower confidence limit being calculated depending on layer quality indicators of previously completely manufactured objects complying with predefined quality requirements, and generating a warning signal, if the layer quality indicator of the currently printed layer has a value equal or lower than the lower quality limit is provided.Type: ApplicationFiled: September 19, 2018Publication date: July 23, 2020Inventors: Felix Buggenthin, Siegmund Düll, Mitchell Joblin, Clemens Otte, Axel Reitinger, Victor Balanica, Michael Caelers, Jonas Eriksson, Jerry Fornander, Andreas Graichen, Vincent Sidenvall
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Publication number: 20200167510Abstract: The present disclosure relates to the automatic generation of characterized image data. For this purpose, a visual representation of a component is computed on the basis of existent structure data for the component, wherein the surface properties of the visual representation of the component may be varied based on predefined characteristic properties. Because, in the computation of such visual representations, both the component itself and the underlying characteristic surface properties are known, this information may be used for characterizing the corresponding parts in the visual representation in order to achieve automatic characterization of the computed visual representation.Type: ApplicationFiled: July 27, 2018Publication date: May 28, 2020Inventors: Felix Buggenthin, Ulli Waltinger
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Publication number: 20200160152Abstract: A device for determining a spindle status of a spindle of a machine tool includes a detector for detecting sensor data of the spindle for a defined time window. A processing unit analyses the sensor data through artificial intelligence by calculating a defined feature of the sensor data for the defined time window and determining a spindle status from the sensor data. An output member outputs the determined spindle status.Type: ApplicationFiled: June 29, 2018Publication date: May 21, 2020Applicant: Siemens AktiengesellschaftInventors: FLORIAN florian BÜTTNER, FELIX BUGGENTHIN, FELIX BUTZ, GEORG DOMASCHKE, MICHAEL HELBIG, PHILIPP SIEGEL, WERNER VOM EYSER
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Patent number: 10549349Abstract: The present invention provides an enhanced setup of a 3D-printing device, especially to a laser powder bed fusion 3D-printing device. It is for this purpose, that data relating to previously printed products are stored in a database. When a new product is to be printed, the features of the new product are matched with features of previously printed products stored in the database. Accordingly, a suggestion for setting-up the 3D-printing device based on corresponding previously printed products and their setup parameters can be automatically determined and applied to the 3D-printing device.Type: GrantFiled: September 28, 2017Date of Patent: February 4, 2020Assignee: Siemens AktiengesellschaftInventors: Victor Balanica, Felix Buggenthin, Siegmund Düll, Mitchell Joblin, Clemens Otte, Axel Reitinger, Michael Caelers, Jonas Eriksson, Jerry Fornander, Andreas Graichen, Yi Huang, Vincent Sidenvall, Sunil Viswanathan
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Publication number: 20190204820Abstract: A method and an apparatus for optimizing diagnostics of rotating equipment, in particular a gas turbine is provided.Type: ApplicationFiled: March 7, 2017Publication date: July 4, 2019Inventors: BERNT ANDRASSY, MARK BUCKLEY, FELIX BUGGENTHIN, GIUSEPPE FABIO CESCHINI, THOMAS HUBAUER, DENIS KROMPAß, MIKHAIL ROSHCHIN, SIGURD SPIECKERMANN, MICHAEL WERNER, RICHARD ARNATT, ALMIR AVDOVIC, ZLATAN COTA, DAVOOD NADERI
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Publication number: 20190091770Abstract: The present invention provides an enhanced setup of a 3D-printing device, especially to a laser powder bed fusion 3D-printing device. It is for this purpose, that data relating to previously printed products are stored in a database. When a new product is to be printed, the features of the new product are matched with features of previously printed products stored in the database. Accordingly, a suggestion for setting-up the 3D-printing device based on corresponding previously printed products and their setup parameters can be automatically determined and applied to the 3D-printing device.Type: ApplicationFiled: September 28, 2017Publication date: March 28, 2019Inventors: Victor Balanica, Felix Buggenthin, Siegmund Düll, Mitchell Joblin, Clemens Otte, Axel Reitinger, Michael Caelers, Jonas Eriksson, Jerry Fornander, Andreas Graichen, Yi Huang, Vincent Sidenvall, Sunil Viswanathan
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Publication number: 20190094286Abstract: Provided is an in-field apparatus and method for automatic localization of a fault having occurred at power transmission lines of a power supply system, the in-field apparatus includes a preprocessing unit configured to process measured voltage and/or current raw time series data of the power transmission lines to provide a normalized raw data and/or feature representation of the measured raw time series data, and an artificial intelligence module configured to predict an optimal evaluation time used for evaluation of the measured voltage and/or current raw time series data to localize the fault based on the normalized raw data and/or feature representation.Type: ApplicationFiled: September 24, 2018Publication date: March 28, 2019Inventors: SILVIO BECHER, FELIX BUGGENTHIN, KLAUS BÖHME, FLORIAN BÜTTNER, MATTHIAS KEREIT, IGOR KOGAN