摘要
针对多缸体柱塞泵冲击信号难以分离且机械故障判断困难的问题,提出了基于数据驱动的柱塞泵冲击信号分离模型。模型根据谱峭度最大原则对原始信号进行自适应带通滤波处理,根据二次包络谱峰值结合最优谐波能量和算法自动搜索柱塞泵的转速数据,根据转速对柱塞泵的单次循环大周期进行分割,以提取每个大周期内的各个密封阀单次冲击信号;判断每次单个冲击的起始时刻,设计周期时变滤波器组,对原始信号进行滤波处理,得到单一缸体的冲击信号,并计算相应的特征指标;采用实际柱塞泵振动数据对模型的准确性进行了验证。结果表明:对于具有明显冲击的三缸泵振动信号,采取分离模型分析出其转频为3.7566 Hz,信号周期为5.12 s,设计出6个周期时变滤波器组对原始信号进行处理,实现了每个密封阀的冲击信号的有效分离,便于后续对每个阀体进行独立监测和诊断分析。研究结果可为多源冲击信号的分离提取提供技术支持以及参考依据。
For the problem that it is difficult to separate the shock signals of multi-cylinder plunger pumps and it is difficult to judge mechanical faults,a data-driven shock signal separation model for plunger pumps was proposed.The model first performed adaptive band-pass filtering on the original signal according to the principle of maximum spectral cliffs;then automatically searched the plunger pump speed data according to the peak of the secondary envelope spectrum combined with the optimal harmonic energy and algorithm;secondly,the single cycle major cycle of the plunger pump was segmented according to the speed to extract the single shock signal of each seal valve in each major cycle;the starting moment of every single shock was judged,and the cycle time variation was designed,the filter set was used to filter the original signal to obtain the shock signal of a single cylinder,and the corresponding characteristic index was calculated;finally,the accuracy of the above algorithm model was verified by using the actual plunger pump vibration data obtained from experiments.The results show that for the three-cylinder pump vibration signal with evident shock,its rotational frequency is 3.7566 Hz and the signal period is 5.12 s through analysis by the separation model,and 6-period timevarying filter groups were designed to process the original signal,which achieved effective separation of shock signals of each sealing valve,and facilitated the subsequent independent monitoring and diagnostic analysis of each valve body.The research results can provide technical support and reference for the separation and extraction of multi-source shock signals.
作者
李杰
庞靖
陈悦
李敬豪
张海滨
周同星
LI Jie;PANG Jing;CHEN Yue;LI Jinghao;ZHANG Haibin;ZHOU Tongxing(China Datang Corporation Science and Technology General Research Institute Co.Ltd East China Electric Power Test&Research Institute,Hefei 231200,China;Zhihuan Science and Technology Co.,Ltd.,Hefei 230601,China)
出处
《流体机械》
CSCD
北大核心
2024年第7期80-87,共8页
Fluid Machinery
基金
国家自然科学基金项目(51775156)
中国大唐集团2021年科技项目(KY-2021-08)。
关键词
柱塞泵
带通滤波
冲击信号
包络解调
信号分离
plunger pump
bandpass filtering
shock signal
envelope demodulation
signal separation
