基于小波分析的压力机振动信号处理与分析

Processing and analysis on vibration signal for press based on wavelet analysis

随着压力机使用时间的增加,故障问题频繁出现,严重影响了工厂的正常生产,为解决该问题,通过分析压力机振动信号对压力机进行故障诊断。以JM21-160曲柄压力机为研究对象,利用Matlab软件对简单、准确提取故障特征的方法进行了研究。以实际的压力机实验数据为基础,提出一种简便方法对数据进行小波去噪和时-频转换处理,此方法基于Matlab的小波工具箱进行的。最后,通过对数据去噪前后频谱图的对比分析,验证了该方法的有效性。该方法能够简化和提取数据中用于分析压力机故障的频率特征,对生产现场的压力机振动信号处理和分析具有参考价值。

With the increasing of use time for press, the fault problem of press occur frequently, which seriously affects the normal production of the factory. In order to solve this problem, the fault diagnosis of press was conducted by analyzing the vibration signal of press. For crank press JM21-160, the method of simply and accurately extracting the fault characteristics was studied by software Matlab. Based on the experimental data of the actual press, a simple method was proposed to process data by wavelet denoising and time-frequency conversion, which was based on Matlab wavelet toolbox, and the validity of this method was verified by contrast and analysis on the spectrums before and after data denoising. The result shows that this method can simplify and extract data to analyze the frequency characteristics of press fault and has reference value for press vibration signal processing and analysis in the production site.