期刊论文详细信息
Estonian Academy of Sciences. Proceedings
Production monitoring system design and implementation; pp. 10-16
Tanel Eiskop1 
关键词: roduction monitoring system;    tool life modelling;    ANN.;   
DOI  :  10.3176/proc.2017.4.02
学科分类:化学(综合)
来源: Teaduste Akadeemia Kirjastus
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【 摘 要 】

The aim of the current study was to develop a highly flexible and scalable modular real-time monitoring system with predictive capabilities. The main focus was on forecasting tool/component life-span. A two-stage model is proposed for predicting tool life-span. Based on real-time monitoring data a back-propagation artificial neural network model was developed and validated. The obtained response surfaces for vibrations, current, and temperature are utilized in an analytical tool wear forecast model.

【 授权许可】

CC BY-NC   

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