A generalized data-driven energy prediction model with uncertainty for a milling machine tool using Gaussian Process

ASME 2015 International Manufacturing Science and Engineering Conference, MSEC 2015

Volumn 2, Issue , 2015, Pages

  Park, Jinkyoo ^a   Law, Kincho H ^a   Bhinge, Raunak ^b   Biswas, Nishant ^b   Srinivasan, Amrita ^b   Dornfeld, David A ^b   Helu, Moneer ^c   Rachuri, Sudarsan ^c  

^a STANFORD UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

Author keywords

Data driven manufacturing; Energy prediction; Gaussian Process

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER CONTROL SYSTEMS; ENERGY UTILIZATION; FORECASTING; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); LEARNING SYSTEMS; MACHINE TOOLS; MACHINING CENTERS; MANUFACTURE; MILLING (MACHINING); MILLING MACHINES;

COMPUTER NUMERICAL CONTROL MILLINGS (CNC); DATA DRIVEN; ENERGY PREDICTION; GAUSSIAN PROCESSES; MACHINE LEARNING APPROACHES; MACHINING OPERATIONS; NON-LINEAR REGRESSION; OPERATIONAL STRATEGIES;

UNCERTAINTY ANALYSIS;

EID: 84945157912     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/MSEC20159354     Document Type: Conference Paper

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