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cp0802_IEEEuwb

于 2011-05-08 发布 文件大小:2KB
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  本代码为IEEE S_V信道的仿真文件!通过修改相应的参数 还可成为其他三种SV信道(This archive is based on ultra-wideband radio all the simulation code book! Editor Ge Lijia)

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    本程序是用于在时域中分析处理轴承故障数据的,提取了各种时域的特征参数,包括均值,有效值,峭度,裕度指标,波形指标等等 适合初学者用于轴承的故障诊断中对参数的提取。(附上轴承故障数据3类共21组 正常、内圈、外圈)(This procedure is used in the time domain analysis of bearing fault data processing to extract the characteristics of various time domain parameters, including mean, RMS, kurtosis, margin indicators, wave indicators, and so suitable for beginners for bearings Fault diagnosis of parameter extraction.)
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    2011-08-27 10:07:27下载
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    show an aliasing in sine wave by L. Braile
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    针对滚动轴承故障信号具有非平稳、非高斯的特点,提出了将时域分析与小波分析相结合的方法对滚动轴承进行故障诊断。在研究不同信号分析方法理论的基础上,以滚动轴承外圈故障振动信号为例,采用多种信号处理方法进行了分析。结果表明,各种分析方法在分析轴承故障时的特点各不相同,在实际使用中,可将时域分析与小波分析综合使用,实现轴承状态的实时监测与故障的准确定位。(For rolling bearing fault signals have non-stationary, non-Gaussian, we proposed the time-domain analysis and wavelet analysis method of combining the rolling element bearing fault diagnosis. In the study of different analytical methods based on the theory of signal to the outer ring rolling bearing fault vibration signal, for example, using a variety of signal processing methods are analyzed. The results show that a variety of analytical methods in the analysis of the characteristics of bearing failure vary, in actual use, can be time-domain analysis and synthesis using wavelet analysis, to achieve accurate positioning of the bearing condition monitoring and real-time fault.)
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