摘要
针对中央空调冷媒水系统中的温度传感器,本文提出了一种基于数理统计的在线故障诊断方法,以实现在线检测并修正传感器的突发漂移故障。首先建立控制体的能量守恒方程式,然后利用其残差值判断是否出现传感器漂移故障,根据残差方程的数字特征运用数理统计的方法建立诊断方程组,通过采集有效的系统运行数据求解诊断方程组以修正传感器的故障。该方法在已经建立的中央空调水系统仿真器上进行了验证,结果表明它能够较快地解决传感器突发漂移故障,将其嵌入到楼宇智能控制系统中将使系统更可靠,更智能。
To detect and diagnose the mutable bias of the temperature sensors of the HVAC chilled water systems, an online FDD method based on statistics is presented in this paper. The energy conservation equations of the control volume are set up first, and then the residual of the relationships is obtained from the measurement data and used to detect the mutable bias of the sensor. The equations for fault diagnosis are set up based on the residual equations and the mathematical characters. The method is validated by simulation of chilled water systems. The results show that the method could detect and diagnosis the temperature sensors fault with mutable bias reliably and it could be used to enhance the performance of the building management system (BMS).
出处
《系统仿真学报》
CAS
CSCD
2003年第7期1008-1011,共4页
Journal of System Simulation
