基于特征Petri网建模的冷水机组故障诊断系统

冷水机组是建筑物中空调系统重要的制冷设备,它的运行状态直接关系到建筑物暖通空调系统运行的性能和稳定性,其故障诊断问题一直受到广泛关注.将特征建模方法引入到冷水机组的故障诊断技术中,并采用模糊Petri网技术实现建模.利用Petri网进行知识表示及推理的矩阵运算算法,描述冷水机组故障征兆与特征参数的关系.运用所提出的诊断系统,不但可以充分利用各特征参数的信息资源进行故障判断,而且可根据冷水机组能效指标COP对故障诊断结果进行综合诊断,有利于冷水机组高效运行.实验结果验证了该故障诊断系统的可行性和准确性.

Fault Diagnostic System for Chillers Based on Characteristic Petri Net Modeling

Abstract： The chillers are important in air-conditioning systems, whose operational status is directly related to the HVAC system performance and stability buildings. The fault diagnose of chillers has received wide attention.This paper discussed characteristic modeling technology in fault diagnosis for chillers with fuzzy Petri net modling technique.Using fuzzy Petri net to represente knowledge and inference algorithm for matrix operations, the characteristic parameters of chiller fault indication and relationships was discribed. Using the proposed diagnostic systems, the information resources of characteristic parameters can be used for fault diagnosis and the chiller efficiency indexes of COP can be used for comprehensive diagnosis of fault diagnosis. The test results of plant running show the feasibility and accuracy of the fault diagnostic system.