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Research Article

Vibration and infrared thermography based multiple fault diagnosis of bearing using deep learning

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Pages 275-296 | Received 11 Nov 2021, Accepted 22 Aug 2022, Published online: 05 Sep 2022

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Ganesh L. Suryawanshi, Sachin K. Patil & Ramchandra G. Desavale. (2023) Empirical-based DA and ANN to diagnose misalignment in rotor-bearing system. Nondestructive Testing and Evaluation 0:0, pages 1-26.
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Fang Yao, Xinan Zhang, Tat Kei Chau & Herbert Ho-ching Iu. (2023) Robustly Cooperative Control of Transient Stability for Power System Considering Wind Power and Load Uncertainty by Distribution Preserving Graph Representation Learning (DPG). Energies 16:5, pages 2413.
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Pengju Yang, Taoyun Wang, Heng Yang, Chuipan Meng, Hao Zhang & Li Cheng. (2023) The Performance of Electronic Current Transformer Fault Diagnosis Model: Using an Improved Whale Optimization Algorithm and RBF Neural Network. Electronics 12:4, pages 1066.
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Natasha Benjamim Barbosa, Danielle Devequi Gomes Nunes, Alex Álisson Bandeira Santos & Bruna Aparecida Souza Machado. (2023) Technological Advances on Fault Diagnosis in Wind Turbines: A Patent Analysis. Applied Sciences 13:3, pages 1721.
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Anurag Choudhary, Tauheed Mian, Shahab Fatima & B. K. Panigrahi. (2022) Deep Transfer Learning Based Fault Diagnosis of Electric Vehicle Motor. Deep Transfer Learning Based Fault Diagnosis of Electric Vehicle Motor.
Zengren Pan, Yanhui Liu, Zhiwei Li, Qiwen Xun & Ying Wu. (2022) 1DCNN-BiGRU network for surface roughness level detection. Surface Topography: Metrology and Properties 10:4, pages 044005.
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Sajal Misra, Satish Kumar, Sameer Sayyad, Arunkumar Bongale, Priya Jadhav, Ketan Kotecha, Ajith Abraham & Lubna Abdelkareim Gabralla. (2022) Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data. Sensors 22:21, pages 8210.
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