Patents by Inventor Mayura A. Madane

Mayura A. Madane 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).

  • CONTACTOR DAMAGE AND DIAGNOSTICS
    Publication number: 20220337070
    Abstract: A method includes interpreting a contactor open event and a contactor load value for a contactor positioned on a motive power circuit for a mobile application, determining that a contactor opening event under load has occurred in response to the contactor open event and the contactor load value, and updating a contactor wear condition in response to the contactor opening event under load, wherein updating the contactor wear condition comprises accumulating a number of the contactor opening events under load.
    Type: Application
    Filed: May 5, 2022
    Publication date: October 20, 2022
    Inventors: Justin Keith Griffiths, Nilesh Surase, Ritika Shetty, Shalini Tripathy, Somdut Dey, Madhavi Gupta, Mayura Madane, Sadiya Qureshi, Toseed Khan, Amit Chavan, Kumar Prasad Telikepalli, Atul Solvande, Hao Wang, Jiong Chen, Yueyue Deng, Jason Carroll, Srinivasan Arjun Tekalur, Jacob William Green, Ashok Chakravarthi Kandru, Cheng Luo, Tianyang Jiang, Cheng Wan, Ye Zhu, John Trublowski, Robert Stephen Douglass, Rajen Modi, Nilay Mehta, Laura Natali Valencia Fritsch, Han Li, Dongxin JIn, Lewei Qian, Jun Li, Hongrae Kim, Daniel R. Ouwenga, Patrick Herranz, Miroslav Horejs, Rohit Baranwal, Zhe Zhang, Martin Wayne Mensch, Brandon William Fisher, Austin Robert Zurface, Jeff Howard Urian, James David, Bharath Kumar Suda, Asheesh Kumar Soni, Rene Guy Gallet, Michael Scott Sullivan, Karsten Gerving, Guido Völlmar, Gerd Schmitz, Christoph Bausch, Ute Molitor, Lutz Friedrichsen, Kai Schroeder, Julia Otte, Madeline Philipsohn, Norbert Roesner, Volker Lang, Johannes Meissner, Paolo D'Amico, Jalpa Shah, Meng Wang, Damrongrit Piyabongkarn, Niles Stephen Ramseyer, Dennis Dukaric, Matt Haylock, Anvaya R. Hingangave, Devendra Patil
  • POWER DISTRIBUTION AND CIRCUIT PROTECTION FOR A MOBILE APPLICATION HAVING A HIGH EFFICIENCY INVERTER
    Publication number: 20200274375
    Abstract: A power electronics assembly for a mobile application includes a first power electronics component selectively coupled to a high source on a first side and coupled to a high voltage battery on a second side, a second power electronics component selectively coupled to one of a low load or a low voltage battery on a first side and coupled to the high voltage battery on a second side; and a controller, including an operating mode circuit structured to determine a discharge operating mode for the mobile application, a power electronics configuration circuit structured to provide a switch state value for the first power electronics component and the second power electronics component in response to the discharge operating mode, and wherein the first power electronics component and the second power electronics component are responsive to the switch state value to coupled selected ones of the high source, low load, and low voltage battery to the high voltage battery.
    Type: Application
    Filed: March 23, 2020
    Publication date: August 27, 2020
    Inventors: Justin Keith Griffiths, Nilesh Surase, Ritika Shetty, Shalini Tripathy, Somdut Dey, Madhavi Gupta, Mayura Madane, Sadiya Qureshi, Toseed Khan, Amit Chavan, Kumar Prasad Telikepalli, Atul Solvande, Hao Wang, Jiong Chen, Yueyue Deng, Jason Carroll, Srinivasan Arjun Tekalur, Jacob William Green, Chakravarthi Kandru, Cheng Luo, Tianyang Jiang, Cheng Wan, Ye Zhu, John Trublowski, Robert Stephen Douglass, Rajen Modi, Nilay Mehta, Laura Natali Valencia Fritsch, Han Li, Dongxin Jin, Lewei Qian, Jun Li, Hongrae Kim, Daniel R. Ouwenga, Patrick Herranz, Miroslav Horejs, Rohit Baranwal, Zhe Zhang, Martin Wayne Mensch, Brandon William Fisher, Austin Robert Zurface, Jeff Howard Urian, James David, Bharath Kumar Suda, Asheesh Kumar Soni, Rene Guy Gallet, Michael Scott Sullivan, Karsten Gerving, Guido Völlmar, Gerd Schmitz, Christoph Bausch, Ute Molitor, Lutz Friedrichsen, Kai Schroeder, Julia Otte, Madeline Philipsohn, Norbert Roesner, Volker Lang, Johannes Meissner, Paolo D'Amico, Jalpa Shah, Meng Wang, Damrongrit Piyabongkarn, Niles Stephen Ramseyer, Dennis Dukaric, Matt Haylock, Anvaya R. Hingangave, Devendra Patil
  • System and method for electric load identification and classification employing support vector machine
    Patent number: 10325150
    Abstract: A method identifies electric load types of a plurality of different electric loads. The method includes providing a support vector machine load feature database of a plurality of different electric load types; sensing a voltage signal and a current signal for each of the different electric loads; determining a load feature vector including at least six steady-state features with a processor from the sensed voltage signal and the sensed current signal; and identifying one of the different electric load types by relating the load feature vector including the at least six steady-state features to the support vector machine load feature database.
    Type: Grant
    Filed: August 29, 2012
    Date of Patent: June 18, 2019
    Assignee: EATON INTELLIGENT POWER LIMITED
    Inventors: Bin Lu, Ronald G. Harley, Liang Du, Yi Yang, Santosh K. Sharma, Prachi S. Zambare, Mayura A. Madane
  • System and method employing a minimum distance and a load feature database to identify electric load types of different electric loads
    Patent number: 8918346
    Abstract: A method identifies electric load types of a plurality of different electric loads. The method includes providing a load feature database of a plurality of different electric load types, each of the different electric load types including a first load feature vector having at least four different load features; sensing a voltage signal and a current signal for each of the different electric loads; determining a second load feature vector comprising at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the different electric loads; and identifying by a processor one of the different electric load types by determining a minimum distance of the second load feature vector to the first load feature vector of the different electric load types of the load feature database.
    Type: Grant
    Filed: November 28, 2011
    Date of Patent: December 23, 2014
    Assignee: Eaton Corporation
    Inventors: Bin Lu, Yi Yang, Santosh K. Sharma, Prachi Zambare, Mayura A. Madane
  • System and method employing a self-organizing map load feature database to identify electric load types of different electric loads
    Patent number: 8756181
    Abstract: A method identifies electric load types of a plurality of different electric loads. The method includes providing a self-organizing map load feature database of a plurality of different electric load types and a plurality of neurons, each of the load types corresponding to a number of the neurons; employing a weight vector for each of the neurons; sensing a voltage signal and a current signal for each of the loads; determining a load feature vector including at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the loads; and identifying by a processor one of the load types by relating the load feature vector to the neurons of the database by identifying the weight vector of one of the neurons corresponding to the one of the load types that is a minimal distance to the load feature vector.
    Type: Grant
    Filed: November 28, 2011
    Date of Patent: June 17, 2014
    Assignees: Eaton Corporation, Georgia Tech Research Corporation
    Inventors: Bin Lu, Ronald G. Harley, Liang Du, Yi Yang, Santosh K. Sharma, Prachi Zambare, Mayura A. Madane
  • SYSTEM AND METHOD FOR ELECTRIC LOAD IDENTIFICATION AND CLASSIFICATION EMPLOYING SUPPORT VECTOR MACHINE
    Publication number: 20140067299
    Abstract: A method identifies electric load types of a plurality of different electric loads. The method includes providing a support vector machine load feature database of a plurality of different electric load types; sensing a voltage signal and a current signal for each of the different electric loads; determining a load feature vector including at least six steady-state features with a processor from the sensed voltage signal and the sensed current signal; and identifying one of the different electric load types by relating the load feature vector including the at least six steady-state features to the support vector machine load feature database.
    Type: Application
    Filed: August 29, 2012
    Publication date: March 6, 2014
    Inventors: BIN LU, Ronald G. Harley, Liang Du, Yi Yang, Santosh K. Sharma, Prachi S. Zambare, Mayura A. Madane
  • SYSTEM AND METHOD EMPLOYING A MINIMUM DISTANCE AND A LOAD FEATURE DATABASE TO IDENTIFY ELECTRIC LOAD TYPES OF DIFFERENT ELECTRIC LOADS
    Publication number: 20130138661
    Abstract: A method identifies electric load types of a plurality of different electric loads. The method includes providing a load feature database of a plurality of different electric load types, each of the different electric load types including a first load feature vector having at least four different load features; sensing a voltage signal and a current signal for each of the different electric loads; determining a second load feature vector comprising at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the different electric loads; and identifying by a processor one of the different electric load types by determining a minimum distance of the second load feature vector to the first load feature vector of the different electric load types of the load feature database.
    Type: Application
    Filed: November 28, 2011
    Publication date: May 30, 2013
    Inventors: BIN LU, Yi Yang, Santosh K. Sharma, Prachi Zambare, Mayura A. Madane
  • SYSTEM AND METHOD EMPLOYING A HIERARCHICAL LOAD FEATURE DATABASE TO IDENTIFY ELECTRIC LOAD TYPES OF DIFFERENT ELECTRIC LOADS
    Publication number: 20130138669
    Abstract: A method identifies electric load types of a plurality of different electric loads. The method includes providing a hierarchical load feature database having a plurality of layers; including with each of a plurality of the layers a corresponding load feature set, the corresponding load feature set of at least one of the layers being different from the corresponding load feature set of at least another one of the layers; including with one of the layers a plurality of different electric load types; sensing a voltage signal and a current signal for each of the different electric loads; determining at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the different electric loads; and identifying by a processor one of the different electric load types by relating the different load features to the hierarchical load feature database.
    Type: Application
    Filed: November 28, 2011
    Publication date: May 30, 2013
    Inventors: BIN LU, Yi Yang, Santosh K. Sharma, Prachi Zambare, Mayura A. Madane
  • SYSTEM AND METHOD EMPLOYING A SELF-ORGANIZING MAP LOAD FEATURE DATABASE TO IDENTIFY ELECTRIC LOAD TYPES OF DIFFERENT ELECTRIC LOADS
    Publication number: 20130138651
    Abstract: A method identifies electric load types of a plurality of different electric loads. The method includes providing a self-organizing map load feature database of a plurality of different electric load types and a plurality of neurons, each of the load types corresponding to a number of the neurons; employing a weight vector for each of the neurons; sensing a voltage signal and a current signal for each of the loads; determining a load feature vector including at least four different load features from the sensed voltage signal and the sensed current signal for a corresponding one of the loads; and identifying by a processor one of the load types by relating the load feature vector to the neurons of the database by identifying the weight vector of one of the neurons corresponding to the one of the load types that is a minimal distance to the load feature vector.
    Type: Application
    Filed: November 28, 2011
    Publication date: May 30, 2013
    Inventors: BIN LU, Ronald G. Harley, Liang Du, Yi Yang, Santosh K. Sharma, Prachi Zambare, Mayura A. Madane