Patents by Inventor Ehsan DEHGHAN NIRI

Ehsan DEHGHAN NIRI 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: 20230182310
    Abstract: Various embodiments of a bio-inspired robot operable for detecting crack and corrosion defects in tubular structures are disclosed herein.
    Type: Application
    Filed: November 15, 2022
    Publication date: June 15, 2023
    Applicant: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Hamidreza Marvi, Ehsan Dehghan-Niri, Mahdi Ilami
  • Patent number: 11504854
    Abstract: Various embodiments of a bio-inspired robot operable for detecting crack and corrosion defects in tubular structures are disclosed herein.
    Type: Grant
    Filed: April 9, 2020
    Date of Patent: November 22, 2022
    Assignees: Arizona Board of Regents on Behalf of Arizona State University, Arrowead Center
    Inventors: Hamidreza Marvi, Ehsan Dehghan-Niri, Mahdi Ilami
  • Publication number: 20200324415
    Abstract: Various embodiments of a bio-inspired robot operable for detecting crack and corrosion defects in tubular structures are disclosed herein.
    Type: Application
    Filed: April 9, 2020
    Publication date: October 15, 2020
    Applicant: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Hamidreza Marvi, Ehsan Dehghan-Niri, Mahdi Ilami
  • Publication number: 20190234888
    Abstract: An insulated electrical component of an insulated electrical machine includes a conducting element, a first radiographically-visible conductor sensor node coupled to the conducting element, at least one second radiographically-visible conductor sensor node coupled to the conducting element a first distance in a predetermined direction from the first radiographically-visible conductor sensor node, and an insulating material bonded to the conducting element. In some embodiments, the insulated electrical component further includes a first radiographically-visible insulator sensor node coupled to the insulating material and not coupled to the conducting element and at least one second radiographically-visible insulator sensor node coupled to the insulating material and not coupled to the conducting element a second distance from the first radiographically-visible insulator sensor node.
    Type: Application
    Filed: April 9, 2019
    Publication date: August 1, 2019
    Inventors: Ehsan DEHGHAN NIRI, Jeffrey Michael BREZNAK, Gene MURPHY
  • Patent number: 10161910
    Abstract: A method of non-destructive testing includes locating an ultrasonic transducer with respect to a component having a visually-inaccessible structure to collect B-scan data from at least one B-scan of the component and to collect C-scan data from at least one C-scan of the component. The method also includes filtering the B-scan data and the C-scan data to remove random noise and coherent noise based on predetermined geometric information about the visually-inaccessible structure to obtain filtered data. The method further includes performing linear signal processing and nonlinear signal processing to determine a damage index for a plurality of voxels representing the visually-inaccessible structure from the filtered B-scan data and the filtered C-scan data to generate a V-scan image. A method of non-destructive testing of a wind turbine blade and an ultrasound system are also disclosed.
    Type: Grant
    Filed: January 11, 2016
    Date of Patent: December 25, 2018
    Assignee: General Electric Company
    Inventors: Ehsan Dehghan Niri, Curtis Wayne Rose, Amir Riahi, Eric Michael Shain
  • Patent number: 9976989
    Abstract: A monitoring system includes an acoustic emission monitoring system including acoustic emission sensors, a partial discharge monitoring system including partial discharge sensors and synchronized with the acoustic emission monitoring system, and a computer receiving acoustic emission data from the acoustic emission sensors and electrical data from the partial discharge sensors. The computer is configured to classify a first statistical event as a fatigue cracking event by pattern recognition of the acoustic emission data and determine a first location and a first damage condition resulting from the fatigue cracking event, classify a second statistical event as a partial discharge event by pattern recognition of the acoustic emission data or the electrical data, and fuse the acoustic emission data and the electrical data for the second statistical event and determine a second location and a second damage condition resulting from the partial discharge event. Methods of monitoring are also disclosed.
    Type: Grant
    Filed: December 15, 2015
    Date of Patent: May 22, 2018
    Assignee: General Electric Company
    Inventors: Ehsan Dehghan Niri, Curtis Wayne Rose, Andrew Batton Witney
  • Publication number: 20180038779
    Abstract: A component, a method of making a component and a method of monitoring strain. The component has an array of internal nodes with a radiopacity distinct from the predominant radiopacity of the component. Displacement of the nodes can be measured and used to calculate strain on the component.
    Type: Application
    Filed: August 5, 2016
    Publication date: February 8, 2018
    Inventors: Ehsan Dehghan Niri, William F. Ranson, Eric Eicher McConnell, Jeffrey Michael Breznak
  • Patent number: 9879981
    Abstract: A system and related methods for evaluating a component using a reference feature and a replicate of the reference feature. The component has an exterior surface with a reference feature thereon. The method includes determining an initial condition of the reference feature, subjecting the component to at least one duty cycle after determining the initial condition, determining a subsequent condition of the reference feature after the at least one duty cycle while the component is in a service position, and forming a replicate of the reference feature while the reference feature is in one of the initial condition or the subsequent condition. One of the initial condition or the subsequent condition may be determined based on the replicate of the reference feature.
    Type: Grant
    Filed: December 2, 2016
    Date of Patent: January 30, 2018
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Ehsan Dehghan Niri, Thomas James Batzinger, Gregory Lee Hovis, Kevin Luo, Christopher Joseph Lochner
  • Publication number: 20170370857
    Abstract: An insulated electrical component of an insulated electrical machine includes a conducting element, a first radiographically-visible conductor sensor node coupled to the conducting element, at least one second radiographically-visible conductor sensor node coupled to the conducting element a first distance in a predetermined direction from the first radiographically-visible conductor sensor node, and an insulating material bonded to the conducting element. In some embodiments, the insulated electrical component further includes a first radiographically-visible insulator sensor node coupled to the insulating material and not coupled to the conducting element and at least one second radiographically-visible insulator sensor node coupled to the insulating material and not coupled to the conducting element a second distance from the first radiographically-visible insulator sensor node.
    Type: Application
    Filed: June 23, 2016
    Publication date: December 28, 2017
    Inventors: Ehsan DEHGHAN NIRI, Jeffrey Michael BREZNAK, Gene MURPHY
  • Publication number: 20170199160
    Abstract: A method of non-destructive testing includes locating an ultrasonic transducer with respect to a component having a visually-inaccessible structure to collect B-scan data from at least one B-scan of the component and to collect C-scan data from at least one C-scan of the component. The method also includes filtering the B-scan data and the C-scan data to remove random noise and coherent noise based on predetermined geometric information about the visually-inaccessible structure to obtain filtered data. The method further includes performing linear signal processing and nonlinear signal processing to determine a damage index for a plurality of voxels representing the visually-inaccessible structure from the filtered B-scan data and the filtered C-scan data to generate a V-scan image. A method of non-destructive testing of a wind turbine blade and an ultrasound system are also disclosed.
    Type: Application
    Filed: January 11, 2016
    Publication date: July 13, 2017
    Inventors: Ehsan DEHGHAN NIRI, Curtis Wayne ROSE, Amir RIAHI, Eric Michael SHAIN
  • Publication number: 20170191966
    Abstract: A system and methods for defect detection and characterization in plate-like structures, more particularly to detect corrosion in complex plate-like structures that result in a deviation in thickness in at least a patch of the structure. The system comprises a plurality of transducers configured to be adjacent to at least a portion of a plate-like structure. A controller is coupled to the plurality of transducers. The method includes propagation of guided waves through the plate-like structure and capture of data to detect the presence of at least one defect using at least a pair of transmitting/receiving transducers based on a change in the velocity of wave transmission as compared to the velocity predicted for a pristine structure.
    Type: Application
    Filed: January 4, 2016
    Publication date: July 6, 2017
    Inventors: Ehsan Dehghan NIRI, Robert Vincent FALSETTI, Curtis Wayne ROSE
  • Publication number: 20170168024
    Abstract: A monitoring system includes an acoustic emission monitoring system including acoustic emission sensors, a partial discharge monitoring system including partial discharge sensors and synchronized with the acoustic emission monitoring system, and a computer receiving acoustic emission data from the acoustic emission sensors and electrical data from the partial discharge sensors. The computer is configured to classify a first statistical event as a fatigue cracking event by pattern recognition of the acoustic emission data and determine a first location and a first damage condition resulting from the fatigue cracking event, classify a second statistical event as a partial discharge event by pattern recognition of the acoustic emission data or the electrical data, and fuse the acoustic emission data and the electrical data for the second statistical event and determine a second location and a second damage condition resulting from the partial discharge event. Methods of monitoring are also disclosed.
    Type: Application
    Filed: December 15, 2015
    Publication date: June 15, 2017
    Inventors: Ehsan DEHGHAN NIRI, Curtis Wayne ROSE, Andrew Batton WITNEY