摘要
对于多传感器故障诊断系统,必须根据环境的变化和传感器的状态等合理地运用各传感器的信息。文中设计了一种基于经验规则和模糊推理功能的ANFIS置信度判别器,此判别器能自适应地对各传感器数据综合判别,得到它们相应的故障置信度,进而对多传感器的信息进行融合,提高了诊断的准确度。
As for the multi-sensor fault diagnosis system, it is necessary to use the information of the transducer working condition and its environment, etc. In the paper, a kind of ANFIS weight distinguisher is designed based on the experience rule and fuzzy reasoning function. This distinguisher can adaptively judge the information of transducers synthetically and get their weight, to fuse these information. In this way the veracity of the diagnosis has been improved.
出处
《海军工程大学学报》
CAS
北大核心
2007年第3期73-75,80,共4页
Journal of Naval University of Engineering
