数据中心是信息产业的重要组成部分。为了确保服务器在合适的环境下工作，数据中心的制冷系统必须全年运行。因此，对制冷系统的运行状态进行监测，对数据中心的安全运行具有重要意义。提出了一种基于灰色理论和故障方向空间法的制冷系统故障诊断预警系统。针对数据中心制冷系统的特殊性，对灰色预测进行了改进，提高了预测精度。并发展了两相传热故障方向空间法来诊断冷凝器和蒸发器的故障。该方法可对制冷系统的13种常见故障进行诊断和预测。进行了模拟实验。引文:ASHRAE论文: 2015年ASHRAE年会，佐治亚州亚特兰大

Data Center is one of the most important parts of information industry. In order to make sure the servers are working in the suitable environment, the refrigeration system in data center must keep running all year round. So it is important to monitor the running status of refrigeration system, and it has significant meaning for the safe operation of data center. This paper presents a fault diagnosis warning system of refrigeration system using Grey Theory and Fault Direction Space Method (FDSM). Considering the particularity of refrigeration system in data center, the Grey Forecast was improved to raise accuracy. And two-phase heat transfer fault direction space method was developed to diagnose the condenser and evaporator faults. With this method, 13 kinds of common faults in refrigeration system can be diagnosed and predicted. A simulation experiment was carried.