【摘要】 以大型电铲为例，采用ＷＶＤ（Ｗｉｎｇｅｒ－Ｖｉｌｌｅｄｉｓｔｒｉｂｕｔｉｏｎｓ），ＳＴＦＴ（ｓｈｏｒｔｔｉｍｅｆｏｕｒｉｅｒｔｒａｎｓｆｏｒｍ），小波和小波包分析构成处理非平稳动态信号系列技术，揭示变工况（变速、变负载、非平稳、非线性）状态下，大型电铲提升系统工作时出现的摩擦、冲击、磨损、附加脉冲及轴承早期故障等的特征，结果表明对非平稳运行工况是能够监测诊断的。更多还原

【Abstract】 A series of techniques,such as WVD(wigner-ville distribution),STFT(short-time fourier transform),wavelet and wavelet packets analysis,were adopted for processing nonstationary dynamic signals.Under the varied operating work condition(varied speed,varied load,nonstationarity,nonlinearity),the fearures of friction,shock,wear,additive impulse and latent fault of ball bearing etc.In the lifting system of the large electric excavator were revealed successfully.The results have indicated that nonstationary operating work condition can be monitored and diagnosed.更多还原