A signal-to-image fault classification method based on multi-sensor data for robotic grinding monitoring
Zhe Li, Kexin Liu, Xudong Wang, Xiaofang Yuan, He Xie, Yaonan Wang
Topics & Concepts
Artificial intelligenceFeature extractionPattern recognition (psychology)Fault (geology)GrindingComputer scienceSupport vector machineConvolutional neural networkSIGNAL (programming language)Scale (ratio)Process (computing)Feature (linguistics)Data miningComputer visionEngineeringGeologyMechanical engineeringProgramming languagePhilosophyLinguisticsQuantum mechanicsSeismologyOperating systemPhysicsMineral Processing and GrindingIndustrial Vision Systems and Defect DetectionAdvanced machining processes and optimization