CAJ | 학술논문

小波分析的方法为弱信号检测技术开辟了一条新途径,但小波变换对弱信号进行特征提取的关键在于确定小波系数的阈值,基于小波熵分析的方法能够在强噪声环境中对微弱信号准确定位,实现低能量的瞬变信号有效提取.仿真实验证明小波分析技术对电机声频故障诊断十分有效,有进一步的研究的必要,在电机的故障诊断方面小波有良好的应用前景.
소파분석적방법위약신호검측기술개벽료일조신도경,단소파변환대약신호진행특정제취적관건재우학정소파계수적역치,기우소파적분석적방법능구재강조성배경중대미약신호준학정위,실현저능량적순변신호유효제취.방진실험증명소파분석기술대전궤성빈고장진단십분유효,유진일보적연구적필요,재전궤적고장진단방면소파유량호적응용전경.
Wavelet analysis method is a new approach in weak signal detection.But a key question is how to determine the threshold of wavelet coeffcients when wavelet transform is used to extract important inform ation of weak signals.Weak signal can be accurately located based on the proposed wavelet entropy method in high-noise surroundings,and the extraction of low--power,transient signal Call be effectively realized.Simulatione experiment indicates wavelet analysis is apphed to diagnose audio faults of electromotor,and it is necessary to research wavelet more,Wavelet has good foreground to diagnose electromotor in the fault diagnosis of electormotor.