Patents by Inventor Anshul Bansal

Anshul Bansal 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).

  • Detecting faults in rotor driven equipment
    Patent number: 11162837
    Abstract: A method and system of detecting faults in rotor driven equipment includes generating data from one or more vibration sensors communicatively coupled to the rotor driven equipment. The data from the one or more machine wearable sensors is collected onto a mobile data collector. The data is sampled at random to estimate a maximum value. Further, a sampling error may be controlled under a predefined value. The data may be analyzed through a combination of Cartesian to Spherical transformation, statistics of the entity extraction (such as variance of azimuthal angle), big data analytics engine and a machine learning engine. A fault is displayed on a user interface associated with the rotor driven equipment.
    Type: Grant
    Filed: June 13, 2019
    Date of Patent: November 2, 2021
    Assignee: MachineSense, LLC
    Inventors: Biplab Pal, Anshul Bansal, Sneha Dutta, Pratyay Karar, Soumya Boral, Abhisek Dey
  • DETECTING FAULTS IN ROTOR DRIVEN EQUIPMENT
    Publication number: 20190310129
    Abstract: A method and system of detecting faults in rotor driven equipment includes generating data from one or more vibration sensors communicatively coupled to the rotor driven equipment. The data from the one or more machine wearable sensors is collected onto a mobile data collector. The data is sampled at random to estimate a maximum value. Further, a sampling error may be controlled under a predefined value. The data may be analyzed through a combination of Cartesian to Spherical transformation, statistics of the entity extraction (such as variance of azimuthal angle), big data analytics engine and a machine learning engine. A fault is displayed on a user interface associated with the rotor driven equipment.
    Type: Application
    Filed: June 13, 2019
    Publication date: October 10, 2019
    Applicant: MachineSense, LLC
    Inventors: Biplab Pal, Anshul Bansal, Sneha Dutta, Pratyay Karar, Soumya Boral, Abhisek Dey
  • FAULT DETECTION IN ROTOR DRIVEN EQUIPMENT USING ROTATIONAL INVARIANT TRANSFORM OF SUB-SAMPLED 3-AXIS VIBRATIONAL DATA
    Publication number: 20160245686
    Abstract: A method and system of detecting faults in rotor driven equipment includes generating data from one or more vibration sensors communicatively coupled to the rotor driven equipment. The data from the one or more machine wearable sensors is collected onto a mobile data collector. The data is sampled at random to estimate a maximum value. Further, a sampling error may be controlled under a predefined value. The data may be analyzed through a combination of Cartesian to Spherical transformation, statistics of the entity extraction (such as variance of azimuthal angle), big data analytics engine and a machine learning engine. A fault is displayed on a user interface associated with the rotor driven equipment.
    Type: Application
    Filed: December 22, 2015
    Publication date: August 25, 2016
    Inventors: Biplab Pal, Anshul Bansal, Sneha Dutta, Pratyay Karar, Soumya Boral, Abhisek Dey