Patents by Inventor Vamshi Gandrapu

Vamshi Gandrapu 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).

  • Patent number: 10990090
    Abstract: An occurrence of a predetermined event is detected within a stream of data and a classification for the event is determined. A message is sent to an application when the predetermined event is detected. The message is received at the application and the message is visualized to a user of the application. The stream of data from the industrial machine to the transceiver circuit, to the control circuit, and to the application occurs in real-time without substantial interruption allowing the user of the application to make decisions and determine insights concerning the industrial machine in real-time.
    Type: Grant
    Filed: January 13, 2020
    Date of Patent: April 27, 2021
    Assignee: General Electric Company
    Inventors: Veera Kishore Reddipalli, Vamshi Gandrapu
  • Publication number: 20200150641
    Abstract: An occurrence of a predetermined event is detected within a stream of data and a classification for the event is determined. A message is sent to an application when the predetermined event is detected. The message is received at the application and the message is visualized to a user of the application. The stream of data from the industrial machine to the transceiver circuit, to the control circuit, and to the application occurs in real-time without substantial interruption allowing the user of the application to make decisions and determine insights concerning the industrial machine in real-time.
    Type: Application
    Filed: January 13, 2020
    Publication date: May 14, 2020
    Inventors: Veera Kishore Reddipalli, Vamshi Gandrapu
  • Patent number: 10534360
    Abstract: An occurrence of a predetermined event is detected or predicted within a stream of data and a classification for the event is determined. A message is sent to an application when the predetermined event is detected or predicted. The message is received at the application and the message is visualized to a user of the application. The stream of data from the industrial machine to the transceiver circuit, to the control circuit, and to the application occurs in real-time without substantial interruption allowing the user of the application to make decisions and determine insights concerning the industrial machine in real-time.
    Type: Grant
    Filed: November 21, 2017
    Date of Patent: January 14, 2020
    Assignee: General Electric Company
    Inventors: Veera Kishore Reddipalli, Vamshi Gandrapu
  • Patent number: 10417228
    Abstract: An analytic is deployed at the task driver, and the analytic performs one or more functions. At the task driver, an execution plan for the analytic is determined based at least in part upon an analysis of the functions. The execution plan determines a location for execution of each of the functions, and the location is one of the computational node or the data node. The functions are executed according to the execution plan.
    Type: Grant
    Filed: December 16, 2016
    Date of Patent: September 17, 2019
    Assignee: General Electric Company
    Inventors: Qian Chen, Vamshi Gandrapu
  • Publication number: 20190155270
    Abstract: An occurrence of a predetermined event is detected or predicted within a stream of data and a classification for the event is determined. A message is sent to an application when the predetermined event is detected or predicted. The message is received at the application and the message is visualized to a user of the application. The stream of data from the industrial machine to the transceiver circuit, to the control circuit, and to the application occurs in real-time without substantial interruption allowing the user of the application to make decisions and determine insights concerning the industrial machine in real-time.
    Type: Application
    Filed: November 21, 2017
    Publication date: May 23, 2019
    Inventors: Veera Kishore Reddipalli, Vamshi Gandrapu
  • Publication number: 20190155228
    Abstract: An original model is stored in a data storage device. The original model describes or represents the operation of an industrial machine. A stream of data is received from the industrial machine at a control circuit. At the control circuit, the streaming data is mapped to the original model of the industrial machine. Features or labels in the stream of data related to the industrial machine are determined, and a predetermined event in the stream of data that is related to the features or labels is detected. Upon detection of the occurrence of the predetermined event, a modified or fitted model is derived, and predictions about performance of the industrial machine are derived utilizing the modified or fitted model.
    Type: Application
    Filed: November 21, 2017
    Publication date: May 23, 2019
    Inventors: Veera Kishore Reddipalli, Vamshi Gandrapu
  • Publication number: 20180173757
    Abstract: An analytic is deployed at the task driver, and the analytic performs one or more functions. At the task driver, an execution plan for the analytic is determined based at least in part upon an analysis of the functions. The execution plan determines a location for execution of each of the functions, and the location is one of the computational node or the data node. The functions are executed according to the execution plan.
    Type: Application
    Filed: December 16, 2016
    Publication date: June 21, 2018
    Inventors: Qian Chen, Vamshi Gandrapu