Patents by Inventor Meenatchidevi MURUGESAN

Meenatchidevi MURUGESAN 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: 10337414
    Abstract: The invention includes a method for predicting the operational state of equipment with turbulent flow characterized by time series data relating to its operation. The invention further includes a system and method for predicting the onset of an impending oscillatory instability. Further, the invention includes a system and method for identifying an impending absorbing transition such as flame blowout in combustion systems. A variable representing the dynamics of operation is measured with the help of a sensor, to obtain time series data. A complex network is then derived from the measured time series data. Network properties are then calculated using the complex network to identify the state of stability relating to operation of the equipment. The stability information may include one of thermoacoustic instability, aero-elastic instability such as flutter, flow-induced vibration, magneto-hydrodynamic, aerodynamic, aeromechanical, aero-acoustic instability or onset of flame blowout of a combustor.
    Type: Grant
    Filed: April 27, 2015
    Date of Patent: July 2, 2019
    Assignee: INDIAN INSTITUTE OF TECHNOLOGY, MADRAS (IITM)
    Inventors: Meenatchidevi Murugesan, Vishnu R Unni, Vineeth Nair Vinod, Sujith Raman Pillai Indusekharan Nair
  • Publication number: 20170051683
    Abstract: The invention includes a method for predicting the operational state of equipment with turbulent flow characterized by time series data relating to its operation. The invention further includes a system and method for predicting the onset of an impending oscillatory instability. Further, the invention includes a system and method for identifying an impending absorbing transition such as flame blowout in combustion systems. A variable representing the dynamics of operation is measured with the help of a sensor, to obtain time series data. A complex network is then derived from the measured time series data. Network properties are then calculated using the complex network to identify the state of stability relating to operation of the equipment. The stability information may include one of thermoacoustic instability, aero-elastic instability such as flutter, flow-induced vibration, magneto-hydrodynamic, aerodynamic, aeromechanical, aero-acoustic instability or onset of flame blowout of a combustor.
    Type: Application
    Filed: April 27, 2015
    Publication date: February 23, 2017
    Applicant: INDIAN INSTITUTE OF TECHNOLOGY MADRAS
    Inventors: Meenatchidevi MURUGESAN, Vishnu R UNNI, Vineeth NAIR VINOD, Sujith RAMAN PILLAI INDUSEKHARAN NAIR