Litcius/Paper detail

An end-to-end framework for remaining useful life prediction of rolling bearing based on feature pre-extraction mechanism and deep adaptive transformer model

Xuanyuan Su, Hongmei Liu, Laifa Tao, Chen Lü, Mingliang Suo

2021Computers & Industrial Engineering108 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceFeature extractionTransformerData miningFeature selectionEnd-to-end principleMachine learningEngineeringElectrical engineeringVoltageMachine Fault Diagnosis TechniquesReliability and Maintenance OptimizationQuality and Safety in Healthcare
An end-to-end framework for remaining useful life prediction of rolling bearing based on feature pre-extraction mechanism and deep adaptive transformer model | Litcius