基于BP算法和信息融合技术的智能家电故障测控系统

Fault Detection and Control System on Intelligent Household Electrical Appliance based on Information Fusion and BP Algorithm

在剖析传统家电故障维修方式和需求的基础上,提出了一种基于神经网络和信息融合技术的智能家电故障测控系统的基本框架。该系统不仅能满足不同的智能家电需要不同的QoS保证,而且切实可行。依托该系统,可以提高我国家电企业故障诊断与维修的水平和效率,节省检测和维修成本并使产品具有更大的竞争力。同时,对将人工神经网络和信息融合技术引入到家电维修行业进行有益的探索。

According to the maintenance mode and requirement, a fundamental frame of fault detection and control system of intelligent household electrical appliance based on neural network and information fusion is presented. The system not only can be sadsfied the needs of different intelligent-household-electrical appliance which needs different guarantee of QoS, but also can be put into pracdce effectively. The level and efficiency of fault diagnosis and maintenance can be enhanced and the cost can be economized by using the system. The products are more competent. It is useful to put the artificial intelligence into the maintenance of electrical household appliance as well.