挖掘机动态性能试验及其数据的小波处理方法

Dynamic Performance Test and Wavelet Processing Method for Non stationary Random Data of Hydraulic Excavator

摘要:

为了找出挖掘机工作时载荷变化规律，用现场试验的方法代替传统的台架试验，并将小波变换理论引入到挖掘机回转工况主泵压力载荷分析中，对现场试验所采集的压力数据进行时频处理.结果表明，与传统的随机理论分析对比，小波分析除了能分离信号的趋势项之外，还可以进一步将随机项按高低频率进行分解，能精细地揭示液压挖掘机的压力频谱结构特征，从而为液压挖掘机液压系统的设计和可靠性分析提供依据.

Abstract:

In order to find out the regular pattern of load variation in the working process of excavator, the field test was resorted to instead of the traditional bench test. Furthermore, the wavelet transform theory was also introduced into the main pump pressure load analysis of excavator in rotary condition and the time frequency processing of pressure data collected in the field test was made. The results show that compared to the traditional random theory analysis, wavelet analysis can not only separate signal trend term, but also further decompose the random terms in accordance with the high and low frequency compared to the traditional random theory analysis. Significantly, wavelet analysis can subtly reveal the structural characteristics of the pressure spectrum of the hydraulic excavator. Therefore, it can provide the fundamental basis for the design and reliability analysis of the hydraulic system of excavators.