Robust adaptive fuzzy type-2 fast terminal sliding mode control of robot manipulators in attendance of actuator faults and payload variation von Rahali, H, Zeghlache, S, Cherif, B.D.E, Benyettou, L, Djerioui, A

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A novel, machine learning-based feature extraction method for detecting and localizing bearing component defects von Cherif, Bilal Djamal Eddine, Seninete, Sara, Defdaf, Mabrouk

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Health Status Detection for Motor Drive Systems Based on Generalized-Layer-Added Principal Component Analysis von Chen, Qing, Sun, Ruiwang, Diao, Naizhe

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A Sensor-Based System for Fault Detection and Prediction for EV Multi-Level Converters von Prejbeanu, Răzvan Gabriel

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The Edge Application of Machine Learning Techniques for Fault Diagnosis in Electrical Machines von de Las Morenas, Javier, Moya-Fernández, Francisco, López-Gómez, Julio Alberto

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A Modified EMD Technique for Broken Rotor Bar Fault Detection in Induction Machines von Arifin, Md Shamsul, Wang, Wilson, Uddin, Mohammad Nasir

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A Review of Symmetry-Based Open-Circuit Fault Diagnostic Methods for Power Converters von Zhou, Yang, Zhao, Jin, Wu, Zhixi

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Fault diagnosis of power converters in a grid connected photovoltaic system using artificial neural networks von Mimouni, A, Laribi, S, Sebaa, M, Allaoui, T, Bengharbi, A.A

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Data-Driven Fault Diagnosis for Electric Drives: A Review von Gonzalez-Jimenez, David, del-Olmo, Jon, Poza, Javier, Garramiola, Fernando, Madina, Patxi

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Diagnosis and localization of fault for a neutral point clamped inverter in wind energy conversion system using artificial neural network technique von Abid, M, Laribi, S, Larbi, M, Allaoui, T

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Detection of negative sequence components in diagnosing and tolerating open-gate fault for a voltage-source inverter in an induction motor drive von Al-Gahtani, Saad F, Azazi, Haitham Z, Nelms, Robert M, Elbarbary, Zakaria M

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Supervised Machine-Learning Methodology for Industrial Robot Positional Health Using Artificial Neural Networks, Discrete Wavelet Transform, and Nonlinear Indicators von Galan-Uribe, Ervin, Amezquita-Sanchez, Juan P, Morales-Velazquez, Luis

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Advanced Fault Detection and Severity Analysis of Broken Rotor Bars in Induction Motors: Comparative Classification and Feature Study Using Dimensionality Reduction Techniques von Kumar, Rahul R., Waisale, Litili O., Tamata, Jiuta L., Tortella, Andrea, H. Kia, Shahin, Andriollo, Mauro

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Diagnosis of Multiple Open-Circuit Faults in Three-Phase Induction Machine Drive Systems Based on Bidirectional Long Short-Term Memory Algorithm von Gmati, Badii, Ben Rhouma, Amine, Meddeb, Houda, Khojet El Khil, Sejir

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Artificial neural network and discrete wavelet transform for inter-turn short circuit and broken rotor bars faults diagnosis under various operating conditions von Rouaibia, R, Djeghader, Y, Moussaoui, L

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Fuzzy Reasoning Numerical Spiking Neural P Systems for Induction Motor Fault Diagnosis von Yin, Xiu, Liu, Xiyu, Sun, Minghe, Dong, Jianping, Zhang, Gexiang

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Open-Circuit Fault Diagnosis of T-Type Three-Level Inverter Based on Knowledge Reduction von Chen, Xiaojuan, Zhang, Zhaohua

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Improved Diagnostic Approach for BRB Detection and Classification in Inverter-Driven Induction Motors Employing Sparse Stacked Autoencoder (SSAE) and LightGBM von Khan, Muhammad Amir, Asad, Bilal, Vaimann, Toomas, Kallaste, Ants

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An Improved Denoising Method for Fault Vibration Signals of Wind Turbine Gearbox Bearings von Zhang, Chaohai, Zhang, Xu, Xu, Zufeng, Dai, Wei, Lu, Jie

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Machine Learning-Based Fault Detection and Diagnosis of Faulty Power Connections of Induction Machines von Gonzalez-Jimenez, David, del-Olmo, Jon, Poza, Javier, Garramiola, Fernando, Sarasola, Izaskun

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