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Physics-based prognostic modelling of filter clogging phenomena

机译：基于物理的过滤器堵塞现象的预测模型

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摘要

In industry, contaminant filtration is a common process to achieve a desired level of purification, since contaminants in liquids such as fuel may lead to performance drop and rapid wear propagation. Generally, clogging of filter phenomena is the primary failure mode leading to the replacement or cleansing of filter. Cascading failures and weak performance of the system are the unfortunate outcomes due to a clogged filter. Even though filtration and clogging phenomena and their effects of several observable parameters have been studied for quite some time in the literature, progression of clogging and its use for prognostics purposes have not been addressed yet. In this work, a physics based clogging progression model is presented. The proposed model that bases on a well-known pressure drop equation is able to model three phases of the clogging phenomena, last of which has not been modelled in the literature yet In addition, the presented model is integrated with particle filters to predict the future clogging levels and to estimate the remaining useful life of fuel filters. The presented model has been implemented on the data collected from an experimental rig in the lab environment In the rig, pressure drop across the filter, flow rate, and filter mesh images are recorded throughout the accelerated degradation experiments. The presented physics based model has been applied to the data obtained from the rig. The remaining useful lives of the filters used in the experimental rig have been reported in the paper. The results show that the presented methodology provides significantly accurate and precise prognostic results.
机译：在工业中，污染物过滤是实现所需净化水平的常用方法，因为液体（例如燃料）中的污染物可能会导致性能下降和磨损快速蔓延。通常，过滤器现象的堵塞是导致更换或清洗过滤器的主要故障模式。由于过滤器堵塞，不幸的结果是级联故障和系统性能不佳。尽管过滤和堵塞现象及其几个可观察参数的影响已在文献中进行了相当长时间的研究，但堵塞的进展及其在预后方面的用途尚未得到解决。在这项工作中，提出了一种基于物理学的堵塞过程模型。所提出的模型基于著名的压降方程能够对堵塞现象的三个阶段进行建模，而文献中尚未对其中的最后一个进行建模。此外，该模型还与粒子过滤器集成在一起以预测未来堵塞水平并估算燃油滤清器的剩余使用寿命。呈现的模型已在实验室环境中从实验装置收集的数据上实现。在该装置中，整个加速降解实验均记录了过滤器上的压降，流量和过滤器网格图像。提出的基于物理的模型已应用于从钻机获得的数据。本文已经报道了实验装置中使用的过滤器的剩余使用寿命。结果表明，所提出的方法提供了非常准确和精确的预后结果。

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