信息融合技术在地铁中央空调风机故障诊断中的应用

Information Fusion Technology in Metro Central Air-conditioning Fan Fault Diagnosis

以神经网络信息融合故障诊断技术为基础,利用多传感器对风机的运行状态进行监测,建立了地铁中央空调风机的故障诊断系统模型。该系统结构能有效地为地铁车站设备的维护提供方案,实用性强。

In this paper, based on a fault diagnosis technology of the neural network information fusion, multiple sensors are used to monitor the operational state of the fan, and a metro fault diagnosis system model for central airconditioning fan is established. The system can provide effective equipment maintenance for metro station with significant and strong practicability.