Title :
Hidden Markov model analysis of manufacturing process information
Author :
Hannaford, Blake
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Abstract :
A method is presented for using hidden Markov models (HMMs) for the analysis of force, torque, and position signals from sensors in manufacturing machines. The HMM can detect the transitions between contact states and compute a measure of the task quality using a model of the task developed by the manufacturing engineer and optimized on training data. The HMM method has been evaluated in extensive experimentation with teleoperation and the results suggest even higher effectiveness in automation and manufacturing applications
Keywords :
Markov processes; assembling; industrial robots; assembly; force analysis; hidden Markov models; manufacturing process information; position signal analysis; torque analysis; Computer aided manufacturing; Data engineering; Force sensors; Hidden Markov models; Information analysis; Manufacturing automation; Manufacturing processes; Signal analysis; Torque; Virtual manufacturing;
Conference_Titel :
Intelligent Robots and Systems '91. 'Intelligence for Mechanical Systems, Proceedings IROS '91. IEEE/RSJ International Workshop on
Conference_Location :
Osaka
Print_ISBN :
0-7803-0067-X
DOI :
10.1109/IROS.1991.174556
