摘要
采用小波分析法,提取水泵运行信号的各频段小波能量集,这一特征向量集对水泵状态的单一故障、多故障具有较好的识别性,其警兆信息甄别的相似度接近0.9以上。基于小波能量集的水泵故障诊断方法,可以较好满足工程运行的需要。
The wavelet analysis method is used and each band wavelet energy set of pump running signal is extracted. This feature vector set has a better recognition of a single fault and multiple faults of a pump status. The similarity screening its warning signal information is approaching 0. 9. The pump fault diagnosis method based on wavelet energy set can better satisfy the needs of engineering operation.
出处
《中国农村水利水电》
北大核心
2016年第7期95-98,共4页
China Rural Water and Hydropower
基金
江苏省水利科技项目(2014027)
关键词
水泵
故障诊断
小波分析
向量相似度
pump
fault diagnosis
wavelet analysis
vector similarity
