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Fault Diagnosis of Rotating Machinery Using Supervised Machine Learning Algorithms with Integrated Data-Driven and Physics-Informed Feature Sets.

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Bibliographic Details
Title: Fault Diagnosis of Rotating Machinery Using Supervised Machine Learning Algorithms with Integrated Data-Driven and Physics-Informed Feature Sets.
Authors: Ignjatovska, Anastasija Angjusheva1 (AUTHOR) anastasija.ignjatovska@mf.edu.mk, Petreski, Zlatko1 (AUTHOR), Gavriloski, Viktor1 (AUTHOR), Shishkovski, Dejan1 (AUTHOR), Domazetovska Markovska, Simona1 (AUTHOR), Anachkova, Maja1 (AUTHOR), Pecioski, Damjan1 (AUTHOR)
Source: Sensors (14248220). Mar2026, Vol. 26 Issue 6, p1876. 36p.
Database: Academic Search Ultimate
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ISSN:14248220
DOI:10.3390/s26061876