Patents by Inventor Dan Kearns

Dan Kearns 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).

  • System and method for explanation of condition predictions in complex systems
    Patent number: 11972178
    Abstract: A system and methods to identify which signals are significant to an assessment of a complex machine system state in the presence of non-linearities and disjoint groupings of condition types. The system enables sub-grouping of signals corresponding to system sub-components or regions. Explanations of signal significance are derived to assist in causal analysis and operational feedback to the system is prescribed and implemented for the given condition and causality.
    Type: Grant
    Filed: February 27, 2018
    Date of Patent: April 30, 2024
    Assignee: Falkonry Inc.
    Inventors: Gregory Olsen, Dan Kearns, Peter Nicholas Pritchard, Nikunj Mehta
  • System and method for the assessment of condition in complex operational systems based on multi-level pattern recognition
    Patent number: 10635984
    Abstract: A system and method to identify patterns in sets of signals produced during operation of a complex system and combines the identified patterns with records of past conditions to generate operational feedback to one or more machines of the complex system while it operates.
    Type: Grant
    Filed: July 23, 2018
    Date of Patent: April 28, 2020
    Assignee: FALKONRY INC.
    Inventors: Gregory Olsen, Nikunj Mehta, Lenin Kumar Subramanian, Dan Kearns
  • SYSTEM AND METHOD FOR THE ASSESSMENT OF CONDITION IN COMPLEX OPERATIONAL SYSTEMS BASED ON MULTI-LEVEL PATTERN RECOGNITION
    Publication number: 20200027011
    Abstract: A system and method to identify patterns in sets of signals produced during operation of a complex system and combines the identified patterns with records of past conditions to generate operational feedback to one or more machines of the complex system while it operates.
    Type: Application
    Filed: July 23, 2018
    Publication date: January 23, 2020
    Inventors: Gregory Olsen, Nikunj Mehta, Lenin Kumar Subramanian, Dan Kearns
  • SYSTEM AND METHOD FOR EXPLANATION OF CONDITION PREDICTIONS IN COMPLEX SYSTEMS
    Publication number: 20190265674
    Abstract: A system and methods to identify which signals are significant to an assessment of a complex machine system state in the presence of non-linearities and disjoint groupings of condition types. The system enables sub-grouping of signals corresponding to system sub-components or regions. Explanations of signal significance are derived to assist in causal analysis and operational feedback to the system is prescribed and implemented for the given condition and causality.
    Type: Application
    Filed: February 27, 2018
    Publication date: August 29, 2019
    Inventors: Gregory Olsen, Dan Kearns, Peter Nicholas Pritchard, Nikunj Mehta