6533b86dfe1ef96bd12cabd5
RESEARCH PRODUCT
Towards an Assembly Support System with Dynamic Bayesian Network
Stefan-alexandru PrecupArpad GellertAlexandru MateiMaria GitaConstantin-bala Zamfirescusubject
Fluid Flow and Transfer ProcessesTechnologyQH301-705.5TPhysicsQC1-999Process Chemistry and TechnologyGeneral Engineeringdynamic Bayesian networkEngineering (General). Civil engineering (General)assembly assistance systemComputer Science ApplicationsChemistryassembly assistance system; dynamic Bayesian networkGeneral Materials ScienceTA1-2040Biology (General)QD1-999Instrumentationdescription
Due to the new technological advancements and the adoption of Industry 4.0 concepts, the manufacturing industry is now, more than ever, in a continuous transformation. This work analyzes the possibility of using dynamic Bayesian networks to predict the next assembly steps within an assembly assistance training system. The goal is to develop a support system to assist the human workers in their manufacturing activities. The evaluations were performed on a dataset collected from an experiment involving students. The experimental results show that dynamic Bayesian networks are appropriate for such a purpose, since their prediction accuracy was among the highest on new patterns. Our dynamic Bayesian network implementation can accurately recommend the next assembly step in 50% of the cases, but to the detriment of the prediction rate.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2022-01-19 | Applied Sciences; Volume 12; Issue 3; Pages: 985 |