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Publication search results
found 164 matches
- 2024
- Panpan Wang, Kaixuan Wang, Lizheng Chen:
Broken Rotor Bars Detection in Inverter-Fed Induction Motors Under Continuous Switching of Different Speed Modes. IEEE Trans. Ind. Electron. 71(1): 975-984 (2024) - 2023
- Gurmeet Singh, V. N. A. Naikan:
Partial broken rotor bar fault diagnosis using signal injected and generated Hilbert method. Comput. Electr. Eng. 111(Part B): 108935 (2023) - Marcos Pieras, Ricardo Marroquim, Douwe Broekens, Elmar Eisemann, Anna Vilanova:
ComVis-Sail: Comparative Sailing Performance Visualization for Coaching. Comput. Graph. Forum 42(1): 86-100 (2023) - Sarahi Aguayo-Tapia, Gerardo Avalos-Almazan, Jose de Jesus Rangel-Magdaleno, Mario Roberto Arrieta Paternina:
Broken Bar Fault Detection Using Taylor-Fourier Filters and Statistical Analysis. Entropy 25(1): 44 (2023) - Wejdan Abu-Elhaija, Qasem Abu Al-Haija:
A novel dataset and lightweight detection system for broken bars induction motors using optimizable neural networks. Intell. Syst. Appl. 17: 200167 (2023) - Lloyd Prosper Chisedzi, Mbika Muteba:
Detection of Broken Rotor Bars in Cage Induction Motors Using Machine Learning Methods. Sensors 23(22): 9079 (2023) - Kevin Barrera Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martínez-Román:
A Comparative Analysis of Deep Learning Convolutional Neural Network Architectures for Fault Diagnosis of Broken Rotor Bars in Induction Motors. Sensors 23(19): 8196 (2023) - Ming Ma, Zheng Cao, Haijun Fu, Weichao Xu, Jisheng Dai:
Sparse Bayesian Learning Approach for Broken Rotor Bar Fault Diagnosis. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - Yuhui Shu, Wenlei Zhang, Xiangjin Song, Guohai Liu, Qianyi Jiang:
DBF-CNN: A Double-Branch Fusion Residual CNN for Diagnosis of Induction Motor Broken Rotor Bar. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - Joost Broekens, Bernhard Hilpert, Suzan Verberne, Kim Baraka, Patrick Gebhard, Aske Plaat:
Fine-grained Affective Processing Capabilities Emerging from Large Language Models. ACII 2023: 1-8 - Jie Wei, Binbin Li, Bin Jiao, Haozhe Ling, Ruiyao Guo:
Fault Diagnosis of Motor Rotor Broken Bar Based on CNN Neural Network. ICITEE 2023: 314-320 - Md Faizul Bari, Meghna Roy Chowdhury, Shreyas Sen:
Is Broken Cable Breaking Your Security? ISCAS 2023: 1-5 - Joost Broekens, Bernhard Hilpert, Suzan Verberne, Kim Baraka, Patrick Gebhard, Aske Plaat:
Fine-grained Affective Processing Capabilities Emerging from Large Language Models. CoRR abs/2309.01664 (2023) - 2022
- Mohamed Esam El-Dine Atta, Doaa Khalil Ibrahim, Mahmoud Ibrahim Gilany:
Broken Bar Fault Detection and Diagnosis Techniques for Induction Motors and Drives: State of the Art. IEEE Access 10: 88504-88526 (2022) - Dejan G. Jerkan, Dejan Reljic, Ivan Todorovic, Ivana Isakov, Vlado Porobic, Drazen Dujic:
Detection of Broken Rotor Bars in a Cage Induction Machine Using DC Injection Braking. IEEE Access 10: 49585-49598 (2022) - Sudip Halder, Sunil Bhat, Bimal Kumar Dora:
Prediction of broken rotor bar in induction motor using spectral entropy features and TLBO optimized SVM. Turkish J. Electr. Eng. Comput. Sci. 30(5): 1962-1979 (2022) - Prashant Kumar, Ananda Shankar Hati:
Dilated convolutional neural network based model for bearing faults and broken rotor bar detection in squirrel cage induction motors. Expert Syst. Appl. 191: 116290 (2022) - Hicham Talhaoui, Tarek Ameid, Abdelhalim Kessal:
Energy eigenvalues and neural network analysis for broken bars fault diagnosis in induction machine under variable load: experimental study. J. Ambient Intell. Humaniz. Comput. 13(5): 2651-2665 (2022) - Guy Barokas, Yves Sprumont:
The broken Borda rule and other refinements of approval ranking. Soc. Choice Welf. 58(1): 187-199 (2022) - Mohamed Esam El-Dine Atta, Doaa Khalil Ibrahim, Mahmoud Ibrahim Gilany, Ahmed F. Zobaa:
Adaptive Scheme for Detecting Induction Motor Incipient Broken Bar Faults at Various Load and Inertia Conditions. Sensors 22(1): 365 (2022) - Abderrahim Boushaba, Sebastien Cauet, Afzal Chamroo, Erik Etien, Laurent Rambault:
Comparative Study between Physics-Informed CNN and PCA in Induction Motor Broken Bars MCSA Detection. Sensors 22(23): 9494 (2022) - Yucai Wu, Shuqiong Sun, Qingfei An, Xu Lie:
Treatment Strategy Research on a Squirrel-Cage Induction Motor with Broken Rotor Bar Faults. Sensors 22(12): 4345 (2022) - Hossein Ehya, Arne Nysveen:
Comprehensive Broken Damper Bar Fault Detection of Synchronous Generators. IEEE Trans. Ind. Electron. 69(4): 4215-4224 (2022) - Zahra Hosseinpour, Mohammad Mehdi Arefi, Niloofar Mozafari, Hao Luo, Shen Yin:
An Ensemble-Based Fuzzy Rough Active Learning Approach for Broken Rotor Bar Detection in Nonstationary Environment. IEEE Trans. Instrum. Meas. 71: 1-8 (2022) - Misael Lopez-Ramirez, Carlos Rodriguez-Donate, Luis Manuel Ledesma-Carrillo, Francisco J. Villalobos-Pina, Jorge Ulises Muñoz-Minjares, Eduardo Cabal-Yepez:
Walsh-Hadamard Domain-Based Intelligent Online Fault Diagnosis of Broken Rotor Bars in Induction Motors. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - Saddam Bensaoucha, Sandrine Moreau, Sid Ahmed Bessedik, Aissa Ameur:
Broken Rotor Bars Fault Detection in Induction Machine Using Machine Learning Algorithms. SSD 2022: 851-856 - Khadidja Boudraa, Mohamed Ladjal, Mohamed Assam Ouali:
Application of ARMA model optimized by the GA to detect broken rotor bars faults of induction motor. SSD 2022: 1974-1979 - Takahito Yoshizawa, Bart Preneel:
Misbehaviour Reporting in ETSI ITS Standard Considered Broken. CSCN 2022: 144-150 - Levent Eren, Ozer Can Devecioglu, Turker Ince, Murat Askar:
Improved Detection of Broken Rotor Bars by 1-D Self-ONNs. IECON 2022: 1-5 - Amirhossein Berenji, Zahra Taghiyarrenani, Slawomir Nowaczyk:
curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection. PKDD/ECML Workshops (2) 2022: 423-437
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