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An attention-based stacked BiLSTM framework for predicting remaining useful life of rolling bearings

Maan Singh Rathore, S. P. Harsha

2022Applied Soft Computing66 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceMachine learningReliability engineeringEngineeringMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisLubricants and Their Additives
An attention-based stacked BiLSTM framework for predicting remaining useful life of rolling bearings | Litcius