
Abstract Wire EDM is a time consuming process which requires several, (cost significant), consumables like wire, filters or deionization resin. Based on machining history and sensor inputs a developed model, e.g. an intelligent software, allows to predict the status & future capacity of consumables and wear parts and thus avoid down-times of machine. The use of a predictive model for estimation of the lifetime of consumable and wear parts will be a significant step in the automation of (wire EDM) machines.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
