By using the wavelet energy spectrum of the signal measured from a certain transmission system, the symptom of the gears with damnification is detected. 以某型传动装置监测信号的小波能量谱为训练样本,识别传动装置带有缺损的齿轮的故障征兆。
The signal tendency and noise were canceled based on wavelet analysis. And 7 fault symptom parameters including two new parameters ( period extension and main frequency delay) were put forward. 在基于小波分析(WA)的基础上对信号进行消除趋势项和除噪处理,并提出了包括周期延长和主频推移2个新的判据在内的7个特征参数。
The weak signal is extracted effectively and the signal of the fault symptom is located in the time domain. The testing results proved the value of the analytic method. 有效地完成了微弱信号的提取,对故障特征信号进行了时域定位,试验结果表明了该分析方法的有效性。
Use the daughter wavelet which is corresponding to max Kurtosis to process a periodic impulses signal immersed in noise in order to identify symptom of crack fault. 将其应用于处理染噪的周期性脉冲信号,以识别裂纹故障发展的初期征兆。
A method of signal mutative symptom extraction is presented, in which the theory of wavelet transform is applied. Moreover, this method is used in fault diagnosis of test turntables. 应用小波变换理论提出了一种信号突变征兆提取方法,并将它应用于转台故障诊断中。