Abstract
The feasibility of using neural networks to characterize one or more variables as a function of other than related variables has been studied. Neural network or parallel distributed processing is found to be highly suitable for the development of relationships among various parameters. A sensor failure detection is studied, and it is shown that neural network models can be used to estimate the sensor readings during the absence of a sensor. (author). 4 refs.; 3 figs.
Eryurek, E;
[1]
Turkcan, E
[2]
- Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering
- Netherlands Energy Research Foundation (ECN), Petten (Netherlands)
Citation Formats
Eryurek, E, and Turkcan, E.
Neural networks for sensor validation and plant-wide monitoring.
Netherlands: N. p.,
1991.
Web.
Eryurek, E, & Turkcan, E.
Neural networks for sensor validation and plant-wide monitoring.
Netherlands.
Eryurek, E, and Turkcan, E.
1991.
"Neural networks for sensor validation and plant-wide monitoring."
Netherlands.
@misc{etde_10132117,
title = {Neural networks for sensor validation and plant-wide monitoring}
author = {Eryurek, E, and Turkcan, E}
abstractNote = {The feasibility of using neural networks to characterize one or more variables as a function of other than related variables has been studied. Neural network or parallel distributed processing is found to be highly suitable for the development of relationships among various parameters. A sensor failure detection is studied, and it is shown that neural network models can be used to estimate the sensor readings during the absence of a sensor. (author). 4 refs.; 3 figs.}
place = {Netherlands}
year = {1991}
month = {Aug}
}
title = {Neural networks for sensor validation and plant-wide monitoring}
author = {Eryurek, E, and Turkcan, E}
abstractNote = {The feasibility of using neural networks to characterize one or more variables as a function of other than related variables has been studied. Neural network or parallel distributed processing is found to be highly suitable for the development of relationships among various parameters. A sensor failure detection is studied, and it is shown that neural network models can be used to estimate the sensor readings during the absence of a sensor. (author). 4 refs.; 3 figs.}
place = {Netherlands}
year = {1991}
month = {Aug}
}