Fault diagnosis of building air condition system based on bayesian networks

摘要：

It has great significance to diagnose the fault of building facility for the faults controlling, repairing, eliminating and preventing. Firstly, the fault affairs and fault symptom of the building air condition system are analyzed Then, the Bayesian Networks model for the air condition systems fault diagnosis is established, and the networks parameters is given. Finally, some data was diagnosed by adopting Bayesian Networks reasoning platform GeNle. The result shows that the diagnosis effect is more comprehensive and reasonable than the other method.

关键词： Air Condition System Fault Affairs Fault Symptom Fault Diagnosis GeNle

作者: QiDing ZHANG JinYu XU

作者单位: College of Mechanics and Civil Engineering,Northwester Polytechnical University,710072,Xian,China

会议类型: 国际会议

会议名称: 2008 International Conference on Risk and Relianility Management(2008风险与可靠性管理国际会议)

会议地点: 北京

会议语种:英文

页码: 618-621

在线出版日期: 2008-11-10（万方平台首次上网日期，不代表论文的发表时间）