Patents by Inventor Thomas Runkler

Thomas Runkler 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).

  • Publication number: 20210365000
    Abstract: An apparatus for monitoring an actuator system, a method for providing an apparatus for monitoring an actuator system, and a method for monitoring an actuator system where the has at least one actuator and at least one data output signal. An anomaly detector detects anomalies. A suppressing engine determines time periods in which a control intervention has been performed. In a resulting monitoring signal, only anomalies are indicated which do not overlap with time periods in which the control intervention has been performed resulting in less irrelevant alerts and false positives output to a human supervisor monitoring the actuator system. The apparatus for monitoring a system may be provided with a plurality of actuators that may affect one another over time. The apparatus may be applied to a system of submersible pumps, or a system of conveyor belts.
    Type: Application
    Filed: January 11, 2019
    Publication date: November 25, 2021
    Applicant: Siemens Aktiengesellschaft
    Inventors: Sebastian Mittelstädt, Markus Michael Geipel, Klaus Arthur Schmid, Klaus-Peter Hitzel, Thomas Runkler, Michael Schnurbusch
  • Patent number: 11144728
    Abstract: Provided is a computer-implemented method for inter-sententially determining a semantic relationship between a first entity and a second entity in a natural language document, comprising at least the steps of: generating a first dependency parse tree, DPT, for a first origin sentence of the document which comprises the first entity, wherein each DPT comprises at least a root node; generating a second DPT for a second origin sentence of the document which mentions the second entity; linking the root nodes of the first DPT and the second DPT so as to create a chain of words, COW; determining for each word in the COW a subtree; generating for each word in the COW a subtree embedding vector cw which is based at least on word embedding vectors xw of the words of the subtree; generating a representation vector pw for each word in the COW; and classifying, using a recurrent neural network, the semantic relationship between the first entity and the second entity, based on the input representation vectors pw.
    Type: Grant
    Filed: July 19, 2019
    Date of Patent: October 12, 2021
    Assignee: SIEMENS AKTIENGESELLSCHAFT
    Inventors: Bernt Andrassy, Pankaj Gupta, Subburam Rajaram, Thomas Runkler
  • Publication number: 20210019370
    Abstract: Provided is a computer-implemented method for inter-sententially determining a semantic relationship between a first entity and a second entity in a natural language document, comprising at least the steps of: generating a first dependency parse tree, DPT, for a first origin sentence of the document which comprises the first entity, wherein each DPT comprises at least a root node; generating a second DPT for a second origin sentence of the document which mentions the second entity; linking the root nodes of the first DPT and the second DPT so as to create a chain of words, COW; determining for each word in the COW a subtree; generating for each word in the COW a subtree embedding vector cw which is based at least on word embedding vectors xw of the words of the subtree; generating a representation vector pw for each word in the COW; and classifying, using a recurrent neural network, the semantic relationship between the first entity and the second entity, based on the input representation vectors pw.
    Type: Application
    Filed: July 19, 2019
    Publication date: January 21, 2021
    Inventors: Bernt Andrassy, Pankaj Gupta, Subburam Rajaram, Thomas Runkler
  • Publication number: 20200160193
    Abstract: Provided is a method for the computer-assisted creation of digital rules for monitoring a technical system. In the method, an ontology is used, which contains a plurality of classes including classes of components of the technical system and classes of operating state characteristics of the technical system and contains semantic relations between the classes. By means of a user interface, a user can formulate abstract rules by means of the classes and the semantic relations from the ontology. The abstract rules are converted into concrete rules valid for the specific technical system in an automated manner. The method has the advantage that corresponding rules no longer have to be formulated individually for individual technical systems by the user. Instead, abstract rules only have to be created one time for identical or similar technical systems.
    Type: Application
    Filed: May 8, 2018
    Publication date: May 21, 2020
    Inventors: Sebastian-Philipp Brandt, Gulnar Mehdi, Mikhail Roshchin, Thomas Runkler
  • Publication number: 20190362239
    Abstract: An assistance system for assisting the planning of automation systems includes a configuration database that has configuration datasets of automation systems, where a respective configuration dataset in each case has the configuration data of a predefined automation system, includes a vectorization component for structuring and adjusting configuration datasets, where the vectorization component is configured to convert the configuration datasets of the configuration database into vectorized configuration datasets, and includes an AI component for processing the vectorized configuration datasets using artificial intelligence, where the processing of the vectorized configuration datasets by the artificial intelligence (AI) component entails utilization of a neural network that has a deep learning architecture.
    Type: Application
    Filed: May 28, 2019
    Publication date: November 28, 2019
    Inventors: Thomas Runkler, Jürgen BAUS, Michael ROCK
  • Patent number: 10352973
    Abstract: A method for computer-assisted determination of usage of electrical energy produced by a power generation plant such as a renewable power generation plant is provided. The method uses a plurality of neural networks having a different structure or being learned differently for calculating future energy amounts produced by a power generation plant. To do so, the energy outputs of the power generation plant forecasted by the plurality of the neural networks are used to build histograms. Based on the histograms, energy amounts for different confidence levels describing the likelihood of the availability of the energy amount are determined, and different uses are assigned to different energy amounts. Energy amounts having a higher likelihood of availability in the future are sold at higher prices than other energy amounts.
    Type: Grant
    Filed: December 19, 2012
    Date of Patent: July 16, 2019
    Assignee: Siemens Aktiengesellschaft
    Inventors: Per Egedal, Ralph Grothmann, Thomas Runkler, Volkmar Sterzing
  • Patent number: 10107205
    Abstract: The embodiments relate to a method for the computer-aided control and/or regulation of a technical system, particularly a power generation installation. The actions to be performed in the course of regulation or control are ascertained using a numerical optimization method (e.g., a particle swarm optimization). In this case, the numerical optimization method uses a predetermined simulation model that is used to predict states of the technical system and, on the basis thereof, to ascertain a measure of quality that reflects an optimization criterion for the operation of the technical system.
    Type: Grant
    Filed: August 5, 2014
    Date of Patent: October 23, 2018
    Assignee: Siemens Aktiengesellschaft
    Inventors: Siegmund Düll, Daniel Hein, Alexander Hentschel, Thomas Runkler, Steffen Udluft
  • Publication number: 20160208711
    Abstract: The embodiments relate to a method for the computer-aided control and/or regulation of a technical system, particularly a power generation installation. The actions to be performed in the course of regulation or control are ascertained using a numerical optimization method (e.g., a particle swarm optimization). In this case, the numerical optimization method uses a predetermined simulation model that is used to predict states of the technical system and, on the basis thereof, to ascertain a measure of quality that reflects an optimization criterion for the operation of the technical system.
    Type: Application
    Filed: August 5, 2014
    Publication date: July 21, 2016
    Inventors: Siegmund Düll, Daniel Hein, Alexander Hentschel, Thomas Runkler, Steffen Udluft
  • Publication number: 20150019276
    Abstract: A method for computer-assisted determination of usage of electrical energy produced by a power generation plant such as a renewable power generation plant is provided. The method uses a plurality of neural networks having a different structure or being learned differently for calculating future energy amounts produced by a power generation plant. To do so, the energy outputs of the power generation plant forecasted by the plurality of the neural networks are used to build histograms. Based on the histograms, energy amounts for different confidence levels describing the likelihood of the availability of the energy amount are determined, and different uses are assigned to different energy amounts. Energy amounts having a higher likelihood of availability in the future are sold at higher prices than other energy amounts.
    Type: Application
    Filed: December 19, 2012
    Publication date: January 15, 2015
    Inventors: Per Egedal, Ralph Grothmann, Thomas Runkler, Volkmar Sterzing
  • Publication number: 20070168075
    Abstract: A method for the treatment of waste paper to produce a finished product in several process stages, comprises the steps of for at least one quality parameter, prescribing a set value for the finished product, wherein ahead of and/or following at least two of the process stages a value is determined by measurements of the at least one quality parameter, establishing the efficiency of a process stage with regard to the improvement of the at least one quality parameter in this process stage, and dynamically balancing in a process management system the individual process stages taking into account the overall efficiency of the process.
    Type: Application
    Filed: April 18, 2005
    Publication date: July 19, 2007
    Inventors: Markus Dinkel, Volkmar Mickal, Thomas Runkler, Albrecht Sieber, Klaus Villforth
  • Patent number: 7197504
    Abstract: A decision tree clustering procedure is provided which employs a unified approach to extracting both the decision tree and (preferably fuzzy) clusters. The decision tree is built by subsequent clustering of single dimensions or features, and the choice of the winning separation is based on cluster validity. In one embodiment, the clustering employs a fuzzy c-means (FCM) model and the partition coefficient (PC) to determine the selected separations.
    Type: Grant
    Filed: April 21, 2000
    Date of Patent: March 27, 2007
    Assignee: Oracle International Corporation
    Inventors: Thomas A. Runkler, Shounak Roychowdhury
  • Patent number: 6269506
    Abstract: A method and arrangement for computer-assisted determination of clusters recognizes foaming in a washing machine. The following quantities are measured during a washing process in the washing machine; a pressure in the washing machine, a temperature in the washing machine, and an amount of water in the washing machine. Application vectors are formed from the measured quantities, and fuzzy affiliation values for predetermined clusters are identified for the application vectors. A foam formation is recognized based on the fuzzy affiliation values.
    Type: Grant
    Filed: September 29, 1999
    Date of Patent: August 7, 2001
    Assignee: Siemens Aktiengesellschaft
    Inventors: Juergen Hollatz, Thomas Runkler
  • Patent number: 6094646
    Abstract: In an apparatus and method for computerized design of fuzzy rules from training data vectors, a membership function type is selected from a set of predetermined membership function types, and membership values for the training data vectors and center of gravity values for the membership functions are determined in alternation in an iterative method for all training data vectors and for each membership function. When an abort criterion is met, then the most recently determined membership functions, described by the center of gravity values, are employed as rules.
    Type: Grant
    Filed: August 18, 1997
    Date of Patent: July 25, 2000
    Assignee: Siemens Aktiengesellschaft
    Inventors: Thomas A. Runkler, James C. Bezdek