Litcius/Paper detail

Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis

Hao Li, Jinyang Jiao, Zongyang Liu, Jing Lin, Tian Zhang, Hanyang Liu

2024Reliability Engineering & System Safety40 citationsDOI

Topics & Concepts

CalibrationTrustworthinessComputer scienceUncertainty quantificationBayesian probabilityArtificial intelligenceFault (geology)Machine learningConfidence intervalData miningReliability engineeringEngineeringStatisticsMathematicsComputer securityGeologySeismologyFault Detection and Control SystemsMachine Fault Diagnosis TechniquesRisk and Safety Analysis
Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis | Litcius