Data Fusion System for Electric Motors Condition Monitoring: An Innovative Solution

Author:

Osornio-Rios Roque Alfredo1ORCID,Zamudio-Ramírez Israel2ORCID,Jaen-Cuellar Arturo Yosimar3,Antonino-Daviu Jose4ORCID,Dunai Larisa4ORCID

Affiliation:

1. Department of Mechatronics, University of Queretaro, Queretaro, Mexico

2. Department of Electrical Engineering, Universitat Politècnica de València, València, Spain

3. Autonomous University of Queretaro, Queretaro, Mexico

4. Universitat Politècnica de València, València, Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Electromagnetic Signal Analysis for Electrical Fault Diagnosis in Synchronous Generators;Electronics;2024-08-03

2. Multi Modal Data Fusion using Fusion Convolution Network for High Voltage Insulator Condition Monitoring in Power Grid;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

3. Use of Smart Diagnosis Systems for Education on Electric Motors Predictive Maintenance;2023 IEEE 10th International Conference on E-Learning in Industrial Electronics (ICELIE);2023-10-16

4. Fault Diagnosis in Electric Motors through the Analysis of Currents and Stray Fluxes;2023 International Conference on Electromechanical and Energy Systems (SIELMEN);2023-10-11

5. Face recognition using ensemble statistical local descriptors;Journal of King Saud University - Computer and Information Sciences;2023-10

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