MATHEMATICAL MODEL USEFUL FOR DETERMINING AND CALIBRATING OUTPUT OF A LINEAR SENSOR

Patent №

US 7,124,047

Granted

2006-10-17

Filed 2004

Owner

EATON CORPORATION

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10934058

The present invention relates to a method of analyzing accuracy of linear sensor output based on a theoretical prediction of the output model. The method comprises steps of: analyzing a statistically significant number of linear sensors to obtain operating profiles at two or more operating conditions; individually testing a linear sensor to obtain at least four data points; developing a theoretical prediction of the output model for each operating condition from the four data points; and comparing accuracy of the relationship between the theoretical prediction of the output model to sensor output in the operating profile corresponding to a given input for the same operating condition. Also disclosed are calibration algorithms associated therewith, as well as mechatronic units and further assemblies therefrom.

PlanningG01D 18/008G01D 3/022

AI classification

Planning1.00
Machine learning0.18
AI hardware0.05
Evolutionary computation0.00
Natural language0.00
Knowledge representation0.00
Vision0.00
Speech0.00

Ownership

EATON CORPORATION

assignment · 157740698

Assignors

ZHANG, YONGCANG, HERBERT, DAVID E.

On an employer assignment, the assignors are typically the inventors.

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