Neural Networks Application in Heating Networks Leakage Fault Diagnosis

摘要：

A quick, effective and practical method for real-time fault diagnosis of heating network is proposed, and the on-line leak detection and location model is established. The method locates the leakage pipe based on the artificial neural network technology by collecting the real time data of pressure changes of the monitoring points. The prediction results are great satisfaction. The method is applicable to real-time diagnosis of daily leakage fault of heating networks. As one of important content, the math model of failure hydraulic regime simulation of heating network is established. At last, the method is verified by taking a small-sized heating network as an example.

关键词： Heating network Fault Diagnosis Artificial neural network

作者: Cuihong Lei Pinghua Zou Zhongyi He

作者单位: School of Municipal & Environmental Engineering,Harbin Institute of Technology,Harbin,China

会议类型: 国际会议

会议名称: The 6th International Symposium on Heating,Ventilating and Air Conditioning(第六届国际暖通空调学术会议)

会议地点: 南京

会议语种:英文

页码: 324-328

在线出版日期: 2009-11-06（万方平台首次上网日期，不代表论文的发表时间）