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Trend-Based Repair Quality Assessment for Industrial Rotating Equipment

机译:基于趋势的工业旋转设备修复质量评估

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摘要

Rotating equipment is widespread in the process industry, where pumps, compressors, and turbines are used to drive continuous manufacturing lines. This class of machinery is meant to run without interruption, but invariably experiences degradation that can lead to equipment failure. Any break in a continuous manufacturing line can halt production, so there is a pressing need to diagnose rotating equipment health before failure occurs. Existing health modeling and diagnosis strategies require supplemental tests to collect model training data, and ignore time-series behavior in machine signals that can be useful for diagnosing equipment health. This letter presents a general modeling structure to give context to historical data, which can act as a substitute for supplemental test data, and describes a methodology for assessing repair quality based on trends in signal features. A case study that uses the proposed methodology to assess the quality of repair procedures is provided.
机译:旋转设备在工艺业中广泛普及,其中泵,压缩机和涡轮机用于驱动连续的生产线。这类机器旨在没有中断运行,但总是经历可能导致设备故障的劣化。在连续生产线中的任何休息都可以停止生产,因此在发生故障之前需要诊断旋转设备的健康。现有的健康建模和诊断策略需要补充测试来收集模型训练数据,并忽略机器信号中的时间序列行为,这对于诊断设备健康。这封信呈现了一般的建模结构,以使上下文成为历史数据,可以作为补充测试数据的替代品,并描述了一种基于信号特征趋势评估修复质量的方法。提供了使用所提出的方法评估修理程序质量的案例研究。

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