An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Detecting Cooling Coil Fouling Automatically-Part 2: Results Using a Multilayer Perceptron
Published
Author(s)
Daniel A. Veronica
Abstract
The novel concept to detect cooling coil fouling automatically with an embedded datadriven agent using expert signature maps, introduced in a companion paper (Veronica 2010), is exercised here on data from computer simulations of clean and fouled cooling coils. The companion paper describes in detail a crucial element of its fouling detection concept: that responses from an adaptive, predictive datadriven model of the cooling coil sum to an appropriate value when the datadriven model is queried offline from the realtime data acquisition. This query consists of a timesequence of input vectors, passed through the model as a triangular pulse of water flow. This report shows rudimental success, a foundation for further research, is obtained using a relatively simple, threenode multilayered perceptron as the datadriven coil model. Also discussed here are factors critical to successfully employing a datadriven model of any architecture to detect coil fouling.
Citation
International Journal of Heating, Ventilating, Air-conditioning and Refrigerating Research
Veronica, D.
(2010),
Detecting Cooling Coil Fouling Automatically-Part 2: Results Using a Multilayer Perceptron, International Journal of Heating, Ventilating, Air-conditioning and Refrigerating Research, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=902772
(Accessed December 2, 2024)