摘要
大型旋转机械的故障在发生或发展时,其运行过程具有明显非平稳特性的瞬态过程。通常的针对单通道信息的时频分析不能准确提取瞬态过程的特征信息。论文结合矢谱分析和短时傅立叶变换(STFT)技术提出了短时矢谱(STVS)分析方法。它融合了转子同截面两通道图谱中各自存在的振动分量,能准确地反映转子发生故障时的瞬态过程特征量变化。工程实践应用表明:短时矢谱分析对于旋转机械故障诊断是一种新的、较为实用的信息融合方法。
When the faults of the large rotary machinery happen or develop,the moving processes of the machinery are obviously transient processes.The usual analysis in time-frequency domain to a single channel can＇t truly abstract the information of the processes.The Short Time Vector-Spectrum （STVS） is brought forward based on the Vector-Spectrum and the Short Time Fourier Transform （STFT）.It can fuse the vibration information of the two channels fixed at a section of the rotor and reflect exactly the change of the characteristic in the transient processes.Engineering practice indicates that the Short Time Vector-Spectrum is a new and usable method for rotary machinery fault diagnosis.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第1期202-204,共3页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.50675209)
河南省杰出人才创新基金(the Out-standing Talented Person Innovation Foundation of Henan under Grant No.0621000500)。
关键词
旋转机械
故障诊断
矢谱
短时傅立叶变换
rotary machinery
fault diagnosis
Vector-Spectrum
short time Fourier transfrom
