Litcius/Paper detail

MS-SSPCANet: A powerful deep learning framework for tool wear prediction

Jian Duan, Cheng Hu, Xiaobin Zhan, Hongdi Zhou, Guanglan Liao, Tielin Shi

2022Robotics and Computer-Integrated Manufacturing70 citationsDOI

Topics & Concepts

PoolingComputer scienceArtificial intelligencePrincipal component analysisPyramid (geometry)Pattern recognition (psychology)Filter (signal processing)Scale (ratio)Component (thermodynamics)GeneralizationKernel (algebra)Short-time Fourier transformMachine learningData miningFourier transformComputer visionMathematicsFourier analysisQuantum mechanicsGeometryCombinatoricsThermodynamicsMathematical analysisPhysicsAdvanced machining processes and optimizationAdvanced Machining and Optimization TechniquesIndustrial Vision Systems and Defect Detection
MS-SSPCANet: A powerful deep learning framework for tool wear prediction | Litcius