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Temporal analysis of event-discrete alarm data for improved manufacturing

机译:改进制造的事件离散警报数据的时间分析

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Efficient response to machine failures is crucial for improving machine availability. In practice, the number of alarms occurring during the operation of manufacturing systems could overwhelm even experienced machine operators. Manufacturing execution systems (MES) therefore often allow for alarm data acquisition as well as its filtering and aggregation to reduce the occurring information overload. However, manual configuration of these systems may be cumbersome and time-consuming. Hence, we propose an event-discrete method for temporal alarm data analysis to support the configuration process.
机译:对机器故障的有效响应对于提高机器可用性至关重要。在实践中,在制造系统运行期间发生的警报的数量可能压倒了甚至经历了经验丰富的机器运营商。因此,制造执行系统(MES)通常允许报警数据采集以及其过滤和聚合以减少发生的信息过载。然而,这些系统的手动配置可能是麻烦和耗时的。因此,我们提出了一种用于时间警报数据分析的事件 - 离散方法来支持配置过程。

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