摘要
利用小波包分别提取调速阀振动时的正常信号和故障信号的AR功率谱的特征值,之后利用提取的特征值作为LSSVM的输入,对调速阀的故障进行诊断,取得了良好效果,并与原始信号的效果进行了对比,并阐明了原因。
By means of wavelet packet, this paper first extracts features from the AR power spectrum of signals in normal and fault state respectively, then the features are input to a LSSVM as parameters to diagnose faults, and the result is satisfactory. Furthermore, the result is compared with that of primary signals, and the causes are interpreted.
出处
《制造技术与机床》
CSCD
北大核心
2011年第12期198-201,共4页
Manufacturing Technology & Machine Tool
基金
国家自然科学基金(50975098)
2008福建省重大专项课题(2008HZ0201)
关键词
故障检测
调速阀
AR功率谱
小波包
LSSVM
Fault Diagnosis
Speed-regulating Valve
AR Power Spectrumm
Wavelet Packet
LSSVM
