Automatic model-based fault detection and diagnosis using diagnostic directed acyclic graph for a demand-controlled ventilation and heating system in Simulink
Automatic model-based fault detection and diagnosis using diagnostic directed acyclic graph for a demand-controlled ventilation and heating system in Simulink
复制标题
在 Simulink 中使用诊断有向无环图对需求控制的通风和供暖系统进行基于模型的自动故障检测和诊断
DOI：
10.1109/syscon.2018.8369614
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Simon Meckel
中科院分区：
文献类型：
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作者：
A. Behravan;R. Obermaisser;D. H. Basavegowda;Simon Meckel
在绿色和智能建筑中，按需控制通风系统的主要目的是通过自动调节通风风门来防止过度通风，从而节省能源，同时保持居住者的热舒适性和室内空气质量在可接受的范围内。这些复杂的系统包括传感器和执行器。由于每个组件中的故障，可能会出现诸如系统故障或性能下降之类的若干问题。本文的一个主要贡献是测试和实施诊断有向无环图的故障检测和诊断方法在需求控制通风系统。所介绍的仿真框架为该方法提供了一个实用的操作平台。在这项研究中，不同类型的故障，如传感器故障，包括错误的传感器读数或嘈杂的传感器，和致动器故障，如卡住的阻尼器致动器或卡住的加热器致动器建模，模拟，并注入到系统中。在此基础上，提出了基于诊断有向无环图的故障检测与诊断方法。结果表明，更好的能源效率，可以实现自动故障检测和诊断。
In green and smart buildings, the main purpose of a demand-controlled ventilation system is to prevent over ventilation which leads to energy saving through automatic adjustment of ventilation damper while it maintains thermal comfort for occupants and indoor air quality in an acceptable range. These complex systems include sensors and actuators. Several problems such as system failure or performance degradation can arise due to faults in each component. A major contribution of this paper is to test and implement diagnostic directed acyclic graph as the fault detection and diagnosis method in demand-controlled ventilation systems. The introduced simulation framework is a helpful operation platform for this means. In this study, different types of faults such as sensor faults including wrong sensor readings or noisy sensors, and actuator faults such as a stuck damper actuator or stuck heater actuator are modeled, simulated, and injected into the system. Based on the framework, fault detection and diagnosis using diagnostic directed acyclic graphs are proposed. The results show that better energy efficiency can be achieved with automatic fault detection and diagnosis.