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Uncertainty analysis and field implementation of a fault detection method for residential HVAC systems

机译:住宅HVAC系统故障检测方法的不确定性分析与现场实现

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The vast majority of fault detection and diagnosis (FDD) methods for air conditioning systems are developed for packaged commercial systems. This paper presents a method for obtaining key operating parameters for air conditioning systems (airflow rate, cooling capacity, system efficiency, and refrigerant mass flow) in a way that is well-suited for the residential sector. The method relies on an air-side capacity estimate and will be compared and contrasted with a more traditional method that relies on a refrigerant-side capacity estimate. These methods are compared in terms of their sensitivity to input parameters, their uncertainty in the outputs, and their sensor requirements. The proposed air-side sensing method requires fewer sensors and has a significant advantage for residential split systems because it requires no outdoor unit sensors. The air-side sensing method is then successfully implemented on a field operating residential system. The experimental results show that the proposed method is sensitive to manually introduced airflow faults.
机译:为包装的商业系统开发了绝大多数故障检测和诊断(FDD)空调系统方法。本文介绍了一种用于获得空调系统(气流速率,冷却能力,系统效率和制冷剂质量流量)的关键操作参数的方法,以适合住宅扇区。该方法依赖于空气侧容量估计,并将与更传统的方法进行比较和对比,依赖于制冷剂侧容量估计。这些方法在对输入参数的敏感性方面进行比较,它们在输出中的不确定性及其传感器要求方面。所提出的空气侧传感方法需要更少的传感器,并且对于住宅分流系统具有显着的优势,因为它不需要室外单元传感器。然后在操作住宅系统上成功实现空气侧传感方法。实验结果表明,该方法对手动引入的气流故障敏感。

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