A wavelet feature-based neural network approach to estimate electrical arc characteristics

Interpretable Machine Learning – Tools to Interpret the Predictions of a Machine Learning Model Predicting the Electrical Energy Consumption of an Electric Arc Furnace

(2020) Leo S. Carlsson et al.   STEEL RESEARCH INTERNATIONAL

Using a dynamically selective support vector data description model to discover novelties in the control system of electric arc furnace

(2020) Jiong Zhang et al.   MEASUREMENT & CONTROL

Identification Method for Series Arc Faults Based on Wavelet Transform and Deep Neural Network

(2019) Qiongfang Yu et al.   Energies

Using Statistical Modeling to Predict the Electrical Energy Consumption of an Electric Arc Furnace Producing Stainless Steel

(2019) Leo S. Carlsson et al.   Metals

High Impedance Fault Detection in Medium Voltage Distribution Network Using Discrete Wavelet Transform and Adaptive Neuro-Fuzzy Inference System

(2018) Veerapandiyan Veerasamy et al.   Energies

A Predictive KH-Based Model to Enhance the Performance of Industrial Electric Arc Furnaces

(2018) Abdollah Kavousi-Fard et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Electric Arc Furnace Modeling with Artificial Neural Networks and Arc Length with Variable Voltage Gradient

(2017) Raul Garcia-Segura et al.   Energies

A new optimal feature selection algorithm for classification of power quality disturbances using discrete wavelet transform and probabilistic neural network

(2017) Suhail Khokhar et al.   MEASUREMENT

A New Dynamic Intelligent Time Domain Arc Furnace Modeling based on Combination Adaptive Neuro-fuzzy Inference System and Chain Code

(2016) Mehdi Torabian Esfahani et al.   ELECTRIC POWER COMPONENTS AND SYSTEMS

A Hybrid Wavelet Transform and Neural-Network-Based Approach for Modelling Dynamic Voltage-Current Characteristics of Electric Arc Furnace

(2014) Gary W. Chang et al.   IEEE TRANSACTIONS ON POWER DELIVERY

A short introduction to wavelets and their applications

(2011) C. Gargour et al.   IEEE Circuits and Systems Magazine

A Neural-Network-Based Method of Modeling Electric Arc Furnace Load for Power Engineering Study

(2009) G.W. Chang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS