Case studies in real-time fault isolation in a decentralized wastewater treatment facility
Case studies in real-time fault isolation in a decentralized wastewater treatment facility
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DOI：
10.1016/j.jwpe.2020.101556
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发表时间：
2020-12
影响因子：
7
通讯作者：
M. Klanderman;Kathryn B. Newhart;T. Cath;A. Hering
中科院分区：
文献类型：
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作者：
M. Klanderman;Kathryn B. Newhart;T. Cath;A. Hering
分散式污水处理（WWT）可以是一种能源和资源效率高的替代传统的，集中式的WWT模式的水资源紧张的社区。然而，为了经济地运行，分散式设施通常没有全职的WWT运营商，因此需要实时监控方案来快速检测系统故障并隔离与故障相关或受故障影响的功能，以确保适当的处理水质。从污水处理设施收集的数据表现出时间依赖性和经验的自然波动的平均值，由于环境和运营商控制的因素，违反了许多现有的故障检测和隔离（FD&I）方法的假设。为了解决这个问题，我们开发了一个完整的数据驱动的FD&I方法调整，以处理独特的功能，可以实时运行的污水处理数据，并说明它是如何执行与分散的污水处理设施在黄金，科罗拉多，美国的数据。增强的可视化技术旨在帮助操作员识别与故障相关的特征。我们提出了三个案例研究与已知的故障，并演示了这种方法可以帮助运营商更快地检测和诊断故障的原因。
Decentralized wastewater treatment (WWT) can be an energy and resource efficient alternative to the traditional, centralized WWT paradigm for water-stressed communities. However, to operate economically, decentralized facilities do not typically have a WWT operator on-site full-time, so a real-time monitoring scheme is needed to quickly detect system faults and isolate the features associated with or affected by faults to ensure adequate treated water quality. Data collected from WWT facilities exhibit temporal dependence and experience natural fluctuations in the mean due to environmental and operator-controlled factors, violating the assumptions of many existing fault detection and isolation (FD&I) methods. To address this, we develop a complete data-driven FD&I method tuned to handle the unique features of WWT data that can be run in real-time and illustrate how it performs with data from a decentralized WWT facility in Golden, Colorado, USA. Enhanced visualization techniques are designed to assist operators in identifying features associated with the fault. We present three case studies with known faults and demonstrate how this method can aid operators in detecting and diagnosing the cause of a fault more quickly.