Patents by Inventor Burton R. Clarke

Burton R. Clarke 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: 7251540
    Abstract: The present invention includes a system and method configured to analyze a performance of a product. The product has associated process and performance characteristics. The method includes the steps of establishing a plurality of process characteristics associated with the product, establishing an analysis relationship between the process characteristics and the performance characteristic, and analyzing the performance characteristic of the product in response to the relationship.
    Type: Grant
    Filed: August 20, 2004
    Date of Patent: July 31, 2007
    Assignee: Caterpillar Inc
    Inventors: Burton R. Clarke, Kermit H. Dove, Jr., Anthony J. Grichnik, Michael Seskin, Danny L. Weis
  • Patent number: 7225108
    Abstract: A system and method for detecting and analyzing anomalies in a machine during operation. The system and method includes at least one sensor associated with a component on the machine, a transducer configured to be positioned about the component, and a test station for receiving signals from the at least one sensor and the transducer, and correlating the signals to determine a source of an anomaly.
    Type: Grant
    Filed: November 10, 2005
    Date of Patent: May 29, 2007
    Assignee: Caterpillar Inc
    Inventors: Burton R. Clarke, Ryan P. Allgaier
  • Patent number: 7194383
    Abstract: A system and method for detecting and analyzing anomalies in a machine during operation. The system and method includes at least one sensor configured to detect characteristics of the machine indicative of machine vibration, at least one other sensor configured to detect characteristics of the machine indicative of other than machine vibration, a plurality of neural networks to receive input data, at least one neural network receiving vibration data from the at least one sensor, and at least one other neural network receiving non-vibration data from the at least one other sensor, and an expert system to receive output data from the neural networks and responsively analyze machine operation for anomalies.
    Type: Grant
    Filed: August 4, 2005
    Date of Patent: March 20, 2007
    Assignee: Caterpillar Inc
    Inventors: Burton R. Clarke, Ryan P. Allgaier