U.S. flag

An official website of the United States government

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.

Search Publications by: Wai Cheong Tam (Fed)

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 26 - 50 of 87

Real-time Forecast of Compartment Fire and Flashover based on Deep Learning

April 6, 2022
Author(s)
Tianhang Zhang, Zilong Wang, Ho Yin Wong, Wai Cheong Tam, Xinyan Huang, Fu Xiao
Forecasting building fire development and critical fire events in real-time is of great significance for firefighting and rescue operations. This work proposes an artificial intelligence (AI) system to fast forecast the compartment fire development and

Report on High Energy Arcing Fault Experiments - Experimental Results from Low Voltage Switchgear Enclosures

December 29, 2021
Author(s)
Gabriel Taylor, Anthony D. Putorti Jr., Scott Bareham, Christopher U. Brown, Wai Cheong Tam, Edward Hnetkovsky, Andre Thompson, Michael Selepak, Philip Deardorff, Kenneth Hamburger, Nicholas Melly, Kenneth Miller
This report documents an experimental program designed to investigate High Energy Arcing Fault (HEAF) phenomena for low-voltage metal enclosed switchgear containing aluminum conductors. This report covers full-scale laboratory experiments using

Report on High Energy Arcing Fault Experiments - Experimental Results from Open Box Enclosures

December 29, 2021
Author(s)
Gabriel Taylor, Anthony D. Putorti Jr., Scott Bareham, Christopher U. Brown, Wai Cheong Tam, Edward Hnetkovsky, Andre Thompson, Michael Selepak, Philip Deardorff, Kenneth Hamburger, Nicholas Melly, Kenneth Miller, Kenneth Armijo, Paul Clem, Alvaro Cruz-Cabrera, Byron Demosthenous, Austin Glover, Chris LaFleur, Raymond Martinez, James Taylor, Rana Weaver, Caroline Winters
This report documents an experimental program to investigate High Energy Arcing Fault (HEAF) phenomena. The experiments provide data to better characterize the arc to improve the prediction of arc energy emitted during a HEAF event. An open box allows for

Report on High Energy Arc Fault Experiments: Experimental Results from Medium Voltage Electrical Enclosures

November 29, 2021
Author(s)
Gabriel Taylor, Anthony D. Putorti Jr., Scott Bareham, Edward Hnetkovsky, Kenneth Hamburger, Nicholas Melly, Mark Henry Salley, Christopher U. Brown, Wai Cheong Tam, Eric Link, Michael Selepak, Philip Deardorff, Kenneth Miller, Paul Clem, Byron Demosthenous, Austin Glover, Chris LaFleur, Raymond Martinez, Anthony Tanbakuchi
This report documents an experimental program designed to investigate High Energy Arcing Fault (HEAF) phenomena for medium voltage electrical switchgear containing aluminum conductors. This report covers full-scale laboratory experiments using

A Generic Flashover Prediction Model for Residential Buildings Using Graph Neural Network

November 11, 2021
Author(s)
Wai Cheong Tam, Eugene Yujun Fu, Paul A. Reneke, Richard D. Peacock, Thomas Cleary
A generic graph neural network-based model is developed to predict the potential occurrence of flashover for different building structures. The proposed model transforms multivariate temperature data into graph-structure data. Utilizing graph convolution

Sensors and Machine Learning Models to Prevent Cooktop Ignition and Ignore Normal Cooking

July 28, 2021
Author(s)
Amy Mensch, Anthony Hamins, Wai Cheong Tam, John Lu, Kathryn Markell, Christina You, Matthew Kupferschmid
According to a recent NFPA report, 49 % of reported home fires involve cooking equipment, with cooktops accounting for 87 % of cooking-fire deaths and 80 % of the civilian injuries [1, 2]. Between 2014–2018, U.S. fire departments responded to an estimated

The Evolving Temperature Field in a 1 m Methanol Pool Fire

June 4, 2021
Author(s)
Jian Chen, Kunhyuk Sung, Zhigang Wang, Andy Tam, Ki Yong Lee, Anthony Hamins
Thin filament pyrometry is used to measure the time-varying temperature field in a 1 m methanol pool fire. A digital camera with optical filters and zoom lens recorded the emission intensity of an array of 12 µm Silicon-Carbide filaments oriented