Predicting the entire pyrolysis process of representative charring material infiltrated with kerosene using an improved artificial neural network

Y Wu, Y Liu, R Chen, Y Wang, Y Xu - Journal of Analytical and Applied …, 2024 - Elsevier
It is crucial to predict the entire pyrolysis process of charring materials infiltrated with
flammable liquids to provide guidance for reducing the fire hazards and implementing …

[HTML][HTML] Study on enhancing waste PVC management through predictive Machine Learning analysis of TGA and its economic benefits

R Vyas, P Swaminathan, S Chakraborty… - Energy Conversion and …, 2024 - Elsevier
The onset of COVID-19 has led to a sudden surge of existing medical plastic wastes,
majority of them made up of PVCs. Pyrolysis, a globally adopted waste management …

On The Flame Behavior during Cable Insulation Material Ignited by Fault Arc: A Flame Extracting and Noise Reduction Algorithm

Y Wang, C Li, H Liu, J Lin, S Lu, KM Liew - Fire, 2023 - mdpi.com
The electric fault arc, particularly the series arc, leads to plenty of electrical fire. The
limitations of t previous studies include:(1) most existing research focused on gaseous …

Prediction of entire thermal degradation process of polymethyl methacrylate infiltrated with kerosene by a modified artificial neural network

Y Wu, Z Zhao, R Chen, Y Liu - Journal of Vinyl and Additive …, 2024 - Wiley Online Library
Predicting the entire thermal degradation process of solid combustibles infiltrated with
flammable liquids is a challenge at present. In the current study, a novel artificial neural …

[PDF][PDF] A Novel Method for Online Diagnosis of Aging State of High-voltage (HV) Cables Based on Impedance Spectroscopy

Y Wang, B Ouyang, G Wang, A Wang, J Yuan - 2024 - preprints.org
In order to serve the online monitoring of the aging state of high-voltage (HV) cables, a novel
method based on impedance spectroscopy has been proposed. Firstly, the method uses the …