Siemens Aktiengesellschaft

Siemens Energy Global Gmbh & Co. Kg

Felix Buggenthin

Andreas Graichen

Siegmund Düll

Clemens Otte

Jonas Eriksson

Jerry Fornander

Mitchell Joblin

Axel Reitinger

Vincent Sidenvall

Victor Balanica

Michael Caelers

Florian Büttner

Steffen Lamparter

Thomas Hubauer

Mikhail Roshchin

Ingo Thon

Michal Skubacz

Silvio Becher

Denis Krompaß

Bernt Andrassy

Matthias Kereit

Ulli Waltinger

Giuseppe Fabio Ceschini

Igor Kogan

Felix Butz

Sunil Viswanathan

Mark Buckley

Sigurd Spieckermann

Yi Huang

Davood Naderi

Tobias Jäger

Klaus Böhme

Philipp Siegel

Werner Vom Eyser

Richard Arnatt

Michael Werner

Zlatan Cota

Almir Avdovic

Georg Domaschke

Michael Helbig

Florian BÜTTNER

Siegmund DÜLL

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.

Method and apparatus for monitoring a quality of an object of a 3D-print-job series of identical objects

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.

Method and apparatus for optimizing diagnostics of rotating equipment

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.

Computer-implemented method and apparatus for automatically generating identified image data and analysis apparatus for checking a component

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.

Method for computer-aided processing of quality information of an object and a respective assistance apparatus

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.

Method and system for detection of an abnormal state of a machine using image data and artificial intelligence

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.

Device and method for determining the status of a spindle of a machine tool

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.

Method and apparatus for automatic localization of a fault

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.

Method and apparatus for controlling a 3D-printing device and 3D-printing device

Growing community of inventors

Munich, Germany

Felix Buggenthin