Patents by Inventor Amit Chakrabarty

Amit Chakrabarty 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).

  • Internet of things based determination of machine reliability and automated maintainenace, repair and operation (MRO) logs
    Patent number: 10599982
    Abstract: A computer implemented method and system for determining reliability of a machine includes receiving one of a machine data from one or more locations through an internet of things (IOT) based machine wearable sensor network. The method further includes storing the data in a distributed computer database communicatively coupled to an enterprise resource planning (ERP) system and extracting, through a computer server, one or more entity information from the data to compare against a pre-defined baseline. Further, mapping, though a big data machine learning engine, the extracted one or more entity information into a multi-classification model. The method includes indicating, through a machine learning engine coupled to a predictive analytics engine, on a user interface a set of analytical predictions for machine maintenance, repair and operation.
    Type: Grant
    Filed: April 25, 2015
    Date of Patent: March 24, 2020
    Assignee: MachineSense, LLC
    Inventors: Biplab Pal, Neeraj Nagi, Amit Chakrabarty
  • INTERNET OF THINGS BASED DETERMINATION OF MACHINE RELIABILITY AND AUTOMATED MAINTAINENACE, REPAIR AND OPERATION (MRO) LOGS
    Publication number: 20170011298
    Abstract: A computer implemented method and system for determining reliability of a machine includes receiving one of a machine data from one or more locations through an internet of things (IOT) based machine wearable sensor network. The method further includes storing the data in a distributed computer database communicatively coupled to an enterprise resource planning (ERP) system and extracting, through a computer server, one or more entity information from the data to compare against a pre-defined baseline. Further, mapping, though a big data machine learning engine, the extracted one or more entity information into a multi-classification model. The method includes indicating, through a machine learning engine coupled to a predictive analytics engine, on a user interface a set of analytical predictions for machine maintenance, repair and operation.
    Type: Application
    Filed: April 25, 2015
    Publication date: January 12, 2017
    Inventors: Biplab Pal, Neeraj Nagi, Amit Chakrabarty