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Process Failure Detection via Recurrence Quantification Analysis in a Slot-Rectangular Spouted Bed

机译:通过槽矩形喷射床中通过复发定量分析进行处理故障检测

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摘要

A study was conducted to explore the applicability of recurrence and recurrence quantification analysis (RQA) to the detection of process failures in spouted bed reactor systems. Three different potential failure modes were examined in a transparent, cold flow slot-rectangular spouted bed. These being, a simulated air leak from a side wall of the reactor, a simulated gas leak from the top wall of the reactor, and simulated agglomeration of solids via introduction of larger "klinker" particles. Bed pressure drop time history data were collected and analyzed via generation of recurrence plots (RPs) and RQA parameters. In general, the simulated agglomeration case was quite easily detected via ever RQA Parameter examined, whereas the simulated air leaks were detected by only a single RQA parameter.
机译:进行了一项研究以探讨复发和复发定量分析(RQA)对喷出床反应器系统中的过程故障的适用性。在透明的冷流量槽 - 矩形喷射床中检查三种不同的潜在故障模式。这些是从反应器的侧壁的模拟空气泄漏,从反应器的顶壁泄漏,并通过引入较大的“klinker”颗粒模拟固体的凝聚。通过产生复发图(RPS)和RQA参数来收集和分析床压降时间历史数据。通常,通过RQA参数易于检测模拟的附聚案例,而仅通过单个RQA参数检测模拟的空气泄漏。

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