Patents by Inventor Stephen J. Hanson

Stephen J. Hanson 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: 6006170
    Abstract: A computer-based system and method for ascertaining anomalies in an electric motor, includes computing and processing a set of Fast Fourier Transforms (FFT's) of the supply current waveforms for a motor known to be in a normal condition to create a feature set of input vectors. The input vector assignments for all possible cluster groupings 1 through n are derived using Ward's method. The method includes computing the Approximate Weight of Evidence (AWE) for each cluster grouping then selecting that count associated with a maximum AWE and designating this count as s. For each cluster in each grouping 1 through s, the method finds the member vector farthest from the cluster's centroid and defines this as the cluster's radius.
    Type: Grant
    Filed: September 25, 1997
    Date of Patent: December 21, 1999
    Assignee: Siemens Corporate Research, Inc.
    Inventors: Angelo R. Marcantonio, Stephen J. Hanson, Thomas Petsche
  • Patent number: 5576632
    Abstract: A method for detecting a departure from normal operation of an electric motor comprises obtaining a set of normal current measurements for a motor being monitored; training a neural network auto-associator using the set of normal current measurements; making current measurements for the motor in operation; comparing the current measurements with the normal current measurements; and indicating abnormal operation whenever the current measurements deviate more than a predetermined amount from the normal current measurements. The method models a set of normal current measurements for the motor being monitored, and indicates a potential failure whenever measurements from the motor deviate significantly from a model. The model takes the form of an neural network auto-associator which is "trained"--using current measurements collected while the motor is known to be in a normal operating condition--to reproduce the inputs on the output.
    Type: Grant
    Filed: June 30, 1994
    Date of Patent: November 19, 1996
    Assignee: Siemens Corporate Research, Inc.
    Inventors: Thomas Petsche, Stephen J. Hanson
  • Patent number: 5461698
    Abstract: Given a set of objects (A, B, C, . . . ), each described by a set of attribute values, and given a classification of these objects into categories, a similarity function accounts well for this classification when only a small number of objects are not correctly classified.
    Type: Grant
    Filed: June 17, 1993
    Date of Patent: October 24, 1995
    Assignee: Siemens Corporate Research, Inc.
    Inventors: Robert W. Schwanke, Stephen J. Hanson