关键词: 故障诊断, 信息融合, 模糊神经网络, D-S证据理论

Abstract: Researchers have studied on elevator fault diagnosis，but timeliness is limited，and can’t discover reason of the faults accurately.To solve these problems，this paper introduces the multi-information fusion technology to the fault diagnosis of elevator control system.The fault diagnosis model：A combination of fuzzy neural network and D-S evidential theory is set up.The BP neural network’s algorithm has been revised in order to enhances its study speed and the ability for precise diagnosis from the D-S evidential theory is fully made use of.The simulation of the fault phenomena has the good effect of this fault diagnosis system.

Key words: fault diagnosis, information fusion, fuzzy neural network, D-S evidential theory