摘要
空调系统的故障诊断十分复杂。针对传统故障诊断的不足,提出神经网络与信息融合相结合的故障综合诊断方法,对来自多个时刻的故障信息进行融合,得到更为准确的故障综合诊断结果。通过在集中空调教学模型上的仿真试验,证明了该故障诊断方法的可靠性。
The fault diagnosis of air-conditioning system is very complicated. Taking aim at the deficiency of conventional fault diagnosis, the comprehensive fault diagnosis method based on neural network and information fusion technologies is put forward, the fault information coming from several times is fused, and the teaching model more exact result of comprehensive fault diagnosis of centralized air-conditioning system has proved diagnosis method. is obtained. The emulation test on reliability of the comprehensive fault
出处
《煤气与热力》
2006年第7期74-76,共3页
Gas & Heat
关键词
故障诊断
信息融合
神经网络
空调系统
fault diagnosis
information fusion
neural network
air-conditioning system
