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Full-Text Articles in Electrical and Computer Engineering
Explainable Artificial Intelligence Approach For Diagnosing Faults In An Induction Furnace, Sajad Moosavi, Roozbeh Razavi-Far, Vasile Palade, Mehrdad Saif
Explainable Artificial Intelligence Approach For Diagnosing Faults In An Induction Furnace, Sajad Moosavi, Roozbeh Razavi-Far, Vasile Palade, Mehrdad Saif
Electrical and Computer Engineering Publications
For over a century, induction furnaces have been used in the core of foundries for metal melting and heating. They provide high melting/heating rates with optimal efficiency. The occurrence of faults not only imposes safety risks but also reduces productivity due to unscheduled shutdowns. The problem of diagnosing faults in induction furnaces has not yet been studied, and this work is the first to propose a data-driven framework for diagnosing faults in this application. This paper presents a deep neural network framework for diagnosing electrical faults by measuring real-time electrical parameters at the supply side. Experimental and sensory measurements are …
State Of Energy Estimation Of Li-Ion Batteries Using Deep Neural Network And Support Vector Regression, Pradeep Kumar, Yasser Rafat, Paolo Cicconi, Mohammad Saad Alam
State Of Energy Estimation Of Li-Ion Batteries Using Deep Neural Network And Support Vector Regression, Pradeep Kumar, Yasser Rafat, Paolo Cicconi, Mohammad Saad Alam
Mechanical, Automotive & Materials Engineering Publications
Efficient management of the power and energy output of a high voltage battery pack requires a precise estimation of the State of Energy (SOE). For the accurate estimation of SOE, this work presents two data-driven methods as Deep Neural Network (DNN) and a regression model, i.e. Support Vector Regression (SVR). The effectiveness of the SOE estimation was compared, analysed, and studied through these models under similar conditions. For performance enhancement of estimation, a modified algorithm based on the grid search of optimized hyperparameters was proposed and evaluated in both the models. For training of the model at subsequent thermal ranges, …