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 fault's 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 system's 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.