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Dynamic unbalance identification in steady-state rotating machinery: A hybrid methodology integrating physical and data-driven techniques

Miguel Ângelo de Carvalho Michalski, Italo Skovroski de Melo, Gilberto Francisco Martha de Souza

2024Journal of Sound and Vibration13 citationsDOI

Topics & Concepts

Identification (biology)Control theory (sociology)Steady state (chemistry)Control engineeringState (computer science)Computer scienceEngineeringAlgorithmArtificial intelligenceControl (management)Physical chemistryBotanyBiologyChemistryMachine Fault Diagnosis TechniquesFault Detection and Control SystemsOil and Gas Production Techniques
Dynamic unbalance identification in steady-state rotating machinery: A hybrid methodology integrating physical and data-driven techniques | Litcius