Custom Simplified Machine Learning Algorithms for Fault Diagnosis in Electrical Machines

Hadi Ashraf Raja, Bilal Asad, Toomas Vaimann, Ants Kallaste, Anton Rassolkin, Anouar Belahcen

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

5 Lataukset (Pure)

Abstrakti

With 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.

AlkuperäiskieliEnglanti
OtsikkoDiagnostika 2022 - 2022 International Conference on Diagnostics in Electrical Engineering, Proceedings
ToimittajatPavel Trnka
KustantajaIEEE
Sivumäärä4
ISBN (elektroninen)9781665480826
DOI - pysyväislinkit
TilaJulkaistu - 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Conference on Diagnostics in Electrical Engineering - Pilsen, Tshekki
Kesto: 6 syysk. 20228 syysk. 2022

Julkaisusarja

NimiDiagnostika 2022 - 2022 International Conference on Diagnostics in Electrical Engineering, Proceedings

Conference

ConferenceInternational Conference on Diagnostics in Electrical Engineering
LyhennettäDiagnostika
Maa/AlueTshekki
KaupunkiPilsen
Ajanjakso06/09/202208/09/2022

Sormenjälki

Sukella tutkimusaiheisiin 'Custom Simplified Machine Learning Algorithms for Fault Diagnosis in Electrical Machines'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä