Custom Simplified Machine Learning Algorithms for Fault Diagnosis in Electrical Machines
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Conference article in proceedings
Diagnostika 2022 - 2022 International Conference on Diagnostics in Electrical Engineering, Proceedings
AbstractWith advancements in science, machine learning and artificial intelligence integration with different fields have opened up new horizons. In this paper, some simplified custom machine learning algorithms are defined to train different faults for electrical machines. The industry has been moving towards predictive maintenance of machines rather than scheduled maintenance with the new industry 4.0 revolution. It has also paved the way for researchers to explore more in machine learning and have specific machine learning training algorithms catered to diagnose faults in electrical machines. Here, three different variations of a simplified machine learning algorithm are present for the training of faults of electrical machines. A comparison of the results is presented at the end, along with further studies carried out in this area.
Publisher Copyright: © 2022 IEEE.
artificial intelligence, machine learning, neural network
Raja , H A , Asad , B , Vaimann , T , Kallaste , A , Rassolkin , A & Belahcen , A 2022 , Custom Simplified Machine Learning Algorithms for Fault Diagnosis in Electrical Machines . in P Trnka (ed.) , Diagnostika 2022 - 2022 International Conference on Diagnostics in Electrical Engineering, Proceedings . Diagnostika , IEEE , International Conference on Diagnostics in Electrical Engineering , Pilsen , Czech Republic , 06/09/2022 . https://doi.org/10.1109/Diagnostika55131.2022.9905174