供暖、通风和空调（HVAC）系统的故障会导致过度的能源浪费和空间舒适性问题。在本研究中，目标是开发故障检测和诊断（FDD）方法，以识别风扇皮带打滑和压力设定点超控故障。根据风机和泵的扬程、气流和功率的相关性，可以很容易地检测到这些故障。目前，这些故障必须通过基于模型或基于规则的故障检测与诊断（FDD）方法进行检测。基于模型的方法通常需要很高的计算时间，这使得它们不适合实时应用。基于规则的方法使用其他操作数据而不是流量，无法准确检测这些故障。另一方面，虚拟流量计技术根据测量的风机和泵的扬程和功率确定流量，使流量测量准确且经济，无需物理流量计。 本文的目的是使用测量的压头和功率以及虚拟流量计，评估用于空气和水分配系统故障的FDD方法。首先，根据风机和泵的性能和系统曲线，导出了风机功率和扬程之间的关系，以及泵扬程和流量之间的关系。然后，通过比较实际关联和无故障关联，对所提出的FDD方法进行了实验验证。结果表明，所提出的FDD方法可以有效地检测这些故障。引用:2016年年度会议，密苏里州圣路易斯，会议论文

Faults in heating, ventilation and air conditioning (HVAC) systems result in excessive energy waste and space comfort issues. In this study, the goal is to develop fault detection and diagnosis (FDD) approaches to identify fan belt slippage and pressure setpoint override faults. These faults can be easily detected based on the correlation of head and airflow and power for fans and pumps. Currently, these faults have to be detected by either model-based or rule-based fault detection and diagnosis (FDD) approaches. Model based approaches generally require high computational time, which makes them unsuitable for real time applications. The rule based approaches use other operating data rather than flow rate and cannot accurately detect these faults. On the other hand, a virtual flow meter technology, which determines flow rate based on the measured head and power of fans and pumps, makes the flow measurement accurately and economically without the need of physical flow meters. The purpose of this paper is to evaluate FDD methods for faults in air and water distribution systsms using the measured head and power along with a virtual flow meter. First, the correlation between fan power and head and the correlation between the pump head and flow rate are derived without and with faults based on fan and pump performance and system curves. Then experiment is conducted to validate developed FDD methods by comparing the actual correlations with the fault-free correlations. The results show the proposed FDD methods can effectively detect these faults.