基于神经网络的变风量空调系统故障诊断

Neural-Network-Based Fault Diagnosis for Variable-Air-Volume Air-Conditioning Systems

对变风量空调系统的故障和故障发生的原因进行了分析.提出了采用BP神经网络对变风量空调系统的故障进行检测与诊断.运用MATLAB中的神经网络工具对故障的模式和故障的原因进行了仿真。仿真结果表明,采用BP神经网络对变风量空调系统进行故障诊断是行之有效的。

Common faults and the corresponding causes of Variable-Air-Volume （VAV） air-conditioning systems are analyzed. And Backward-Propagation （BP） algorithm neural networks are proposed to detect and diagnose common VAV faults. Neural network tools in MATLAB are applied to simulate the relationship of modes and causes of VAV faults. Simulation results indicate that it is feasible to adopt BP networks to diagnose VAV faults.