Litcius/Paper detail

Diagnosis of Unbalance in Lightweight Rotating Machines Using a Recurrent Neural Network Suitable for an Edge-Computing Framework

L. Y. Imamura, Sérgio Luciano Ávila, Fernando S. Pacheco, Maurício B. C. Salles, Leonardo S Jablon

2022Journal of Control Automation and Electrical Systems22 citationsDOI

Topics & Concepts

Computer scienceRecurrent neural networkFlexibility (engineering)Artificial neural networkEnhanced Data Rates for GSM EvolutionMetric (unit)Fault (geology)VibrationElectric motorComputational complexity theoryHyperparameterArtificial intelligenceMachine learningEngineeringAlgorithmQuantum mechanicsStatisticsOperations managementSeismologyPhysicsMechanical engineeringMathematicsGeologyIndustrial Vision Systems and Defect DetectionMachine Fault Diagnosis TechniquesSurface Roughness and Optical Measurements
Diagnosis of Unbalance in Lightweight Rotating Machines Using a Recurrent Neural Network Suitable for an Edge-Computing Framework | Litcius