Patents by Inventor Gaurav Hegde

Gaurav Hegde 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).

  • Method and system for deviation detection in sensor datasets
    Patent number: 10346228
    Abstract: A system, device, and method of deviation detection in at least one sensor dataset associated with one or more sensors in a technical system are provided. The method includes generating a best fit model of the technical system based on a target sensor dataset. The method also includes predicting a sensor dataset of the target sensor using the best fit model and non-target sensor datasets of non-target sensors, and determining a deviation tolerance by determining a difference between the predicted sensor dataset and the target sensor dataset. The method also includes detecting deviation in actual sensor dataset of the target sensor when a data-point in the actual sensor dataset exceeds the deviation tolerance and detecting deviation in the at least one sensor dataset of the one or more sensors by detecting deviation in each of the non-target sensor datasets.
    Type: Grant
    Filed: July 12, 2017
    Date of Patent: July 9, 2019
    Assignee: Siemens Aktiengesellschaft
    Inventors: Vinay Ramanath, Asmi Rizvi Khaleeli, Gaurav Hegde
  • METHOD AND SYSTEM FOR DEVIATION DETECTION IN SENSOR DATASETS
    Publication number: 20190018722
    Abstract: A system, device, and method of deviation detection in at least one sensor dataset associated with one or more sensors in a technical system are provided. The method includes generating a best fit model of the technical system based on a target sensor dataset. The method also includes predicting a sensor dataset of the target sensor using the best fit model and non-target sensor datasets of non-target sensors, and determining a deviation tolerance by determining a difference between the predicted sensor dataset and the target sensor dataset. The method also includes detecting deviation in actual sensor dataset of the target sensor when a data-point in the actual sensor dataset exceeds the deviation tolerance and detecting deviation in the at least one sensor dataset of the one or more sensors by detecting deviation in each of the non-target sensor datasets.
    Type: Application
    Filed: July 12, 2017
    Publication date: January 17, 2019
    Inventors: Vinay Ramanath, Asmi Rizvi Khaleeli, Gaurav Hegde