本文提出了一个适用于空气处理机组（AHU）的专家规则集，并使用仿真和现场数据检验了该规则集的性能。该规则集的软件实现APAR（空气处理机组性能评估规则）首次应用于无故障和有故障的模拟数据。正如预期的那样，APAR检测故障的能力受到故障严重程度和运行条件的影响。通过APAR对现场数据的分析得出的结果证明了考虑控制性能问题的重要性。 APAR成功地识别出混合箱减振器出现的两次故障，第一次是减振器卡住，第二次是控制信号手动超控，未返回自动操作。专家规则集由简单的规则组成，这些规则成功地识别了一些相当明显的AHU运行问题，这些问题通常被补偿条件隐藏，或被原始数据淹没的操作员忽略。单位:双引用:研讨会论文，佐治亚州亚特兰大，2001年

This paper presents an expert rule set for air-handling units (AHUs) and examines the performance of the rule set using simulation and field data. APAR (air-handling unit performance assessment rules), the software implementation of the rule set, was first applied to fault-free and faulty simulation data. As expected, the ability of APAR to detect faults was influenced by the severity of the fault and the operating conditions. Results obtained through the analysis of field data with APAR demonstrated the importance of considering control performance problems. APAR successfully identified two occurrences of faults with the mixing box dampers, the first being a stuck damper and the second a manual override of a control signal that was not returned to automatic operation. The expert rule set consists of simple rules that successfully identified some fairly obvious AHU operation problems that are often hidden by compensating conditions or overlooked by operators overwhelmed by raw data.Units: Dual