Honeywell International Inc.

Lewis P Olson

Sunil K Menon

Dinkar A Mylaraswamy

Russell D Braunling

Paul Frederick Dietrich

Methods and apparatus are provided pertaining to a design of experiments. The method comprises generating a data set from historical data; identifying and removing any fault data points in the data set so as to create a revised data set; supplying the data points from the revised data set into a nonlinear neural network model; and deriving a simulator model characterizing a relationship between the input variables and the output variables. The apparatus comprises means for generating a data set from historical data; means for identifying and removing any fault data points in the data set so as to create a revised data set; means for supplying the data points from the revised data set into a nonlinear neural network model; and means for deriving a simulator model characterizing a relationship between the input variables and the output variables.

Empirical design of experiments using neural network models

A system for measuring pitting corrosion in metal using a digital camera having a lens and an output unit for identifying the color of a metal coupon on a gray scale and providing an output in the midrange of the scale when non corroded and different output after exposure to a corrosive environment. A computer is connected to the output of the camera to display the photographs to permit observation of the gray scale output based upon a minimum and maximum threshold inputs which are adjustable based on an observation of pitting. The points of interest on the coupon representing observed pitting are recorded and summed to calculate an estimated corrosion area corresponding to pitting the said coupon as a percentage of the total coupon area.

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Apple Valley, MN, United States of America

Lewis P Olson