机械科学与技术2017，Vol.36Issue(4)：535-541,7.DOI:10.13433/j.cnki.1003-8728.2017.0407
利用时域参数联合统计钻井泵振动特征提取的研究
Research on Vibration Feature Extraction of Drilling Pump based on Time Domain Joint Statistical Parameters
吕苗荣 1金育琦 1林伟旺1
作者信息
- 1. 常州大学 石油工程学院,江苏常州 213016
- 折叠
摘要
Abstract
Research on mining combined time domain statistical parameter information from vibration signal is a very meaningful work for machinery detection,fault diagnosis and state prediction service.In this paper,drilling pump's vibration signal is segmented by BOU(Basic operation unit) processing,then time domain parameters of such vibration signal's segmentation has been calculated.These time domain parameters are investigated carefully with using a new framework-statistical distribution of combined time domain parameters.Studies have shown that the distribution of time domain parameter scatters has strong regularity and spatial feature under different working conditions.A good corresponding relationship between the vibration signal,combined parameter distribution characteristics,regional distribution,and equipment malfunction has been established.It can also provide a geat convenience for the fault detection of drilling pump.关键词
钻井泵/振动信号/时域参数统计/状态识别Key words
vibration/time domain analysis/feature extraction/fault detection分类
能源科技引用本文复制引用
吕苗荣,金育琦,林伟旺..利用时域参数联合统计钻井泵振动特征提取的研究[J].机械科学与技术,2017,36(4):535-541,7.
