[1]王冬冬,孙 茜.基于小波分析的离心式注水泵机械振动实时监测方法[J].机械与电子,2022,(04):56-60.
　WANG Dongdong,SUN Qian.Real Time Monitoring Method of Mechanical Vibration of Centrifugal Water Injection Pump Based on Wavelet Analysis[J].Machinery & Electronics,2022,(04):56-60.
点击复制

基于小波分析的离心式注水泵机械振动实时监测方法()
分享到：

机械与电子[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2022年04期
页码:
56-60
栏目:
自动控制与检测
出版日期:
2022-04-27

文章信息/Info

Title:
Real Time Monitoring Method of Mechanical Vibration of Centrifugal Water Injection Pump Based on Wavelet Analysis
文章编号:
1001-2257 ( 2022 ) 04-0056-05
作者:
王冬冬; 孙 茜
华北石油通信有限公司物联网技术设计研究所,河北 沧州 062552
Author(s):
WANG Dongdong ;  SUN Qian
(Internet of Things Technology Design and Research Institute of North China Petroleum Communication Co. , Ltd. , Cangzhou 062552 , China )
关键词:
小波分析; 离心式注水泵; 机械振动; 实时监测; 压电传感器
Keywords:
wavelet analysis ;  centrifugal water injection pump ;  mechanical vibration ;  real time monitoring ;  piezoelectric sensor
分类号:
TH165
文献标志码:
A
摘要:
为保证注水泵机组安全稳定运行,减少管理人员工作量,提出基于小波分析的离心式注水泵机械振动实时监测方法。探究注水泵作业流程与结构特征,结合多种常见故障类型分析结果,构建水泵输入、输出功率与生产效率的动力学模型;考虑到注水泵特性,以压电加速度传感器作为主要监测设备,明确信号采样要求,通过量化处理将模拟信号变换为数字信号,便于信号分析;当监测信号内低频成分丰富时,确定母小波和变换系数,经伸缩与平移处理完成连续小波变换与反变换;当低频分量不足时,引入小波包理论,分割小波空间,合理分解不同频带的信号,保证监测信息不丢失,获取信号特征,实现机械振动实时监测。仿真实验证明,该方法具有较强的信号处理能力,可通过监测信息准确判断出设备故障类型。
Abstract:
In order to ensure the safe and stable operation of water injection pump unit and reduce the workload of managers , a real-time monitoring method of mechanical vibration of centrifugal water injection pump based on wavelet analysis is proposed.The operation process and structural characteristics of water injection pump are explored , combined with the analysis results of many common fault types , the dynamic model of pump input , output power and production efficiency is built ; Considering the characteristics of water injection pump , the piezoelectric acceleration sensor is used as the main monitoring equipment to clarify the signal sampling requirements , and the analog signal is transformed into digital signal through quantitative processing to facilitate signal analysis ; When the low-frequency components in the monitoring signal are rich , the mother wavelet and transform coefficients are determined , and the continuous wavelet transform and inverse transform are completed by stretching and translation processing ; When the low-frequency component is insufficient , the wavelet packet theory is introduced to divide the wavelet space , reasonably decompose the signals of different frequency bands , ensure that the monitoring information is not lost , obtain the signal characteristics , and realize the real-time monitoring of mechanical vibration. Simulation results show that this method has strong signal processing ability and can accurately judge the type of equipment fault through monitoring information.

参考文献/References:

[ 1 ] 段礼祥,陈瑞典,张来斌,等 . 机械设备振动监测的自适应变采样算法研究[ J ] . 仪表技术与传感器, 2019 ( 7 ):121-126.

[ 2 ] 郭俊锋,刘世润 . 基于调制宽带转换器的机械振动信号检测[ J ] . 机械设计与制造, 2020 ( 6 ): 48-52 , 57.
[ 3 ] 肖 鑫,邓 蕾,汤 宝 平,等 . 基于跨层设计的机械振动 WSNs 同步采集多跳累积误差控制方法[ J ] . 振动与冲击,2020 , 39 ( 9 ): 97-102 , 117.
[ 4 ] 谷旭东,滕科嘉,史雪梅 . 基于小波包变换及时间 小波能量谱的振动信号分析研究[ J ] . 空间控制技术与应用,2020 , 46 ( 4 ): 29-33.
[ 5 ] 赵寿生,汪卫国,王丰华,等 . 基于统计特征与 EMD 算法的有载分接开关振动信号去噪[ J ] . 电工电能新技术,2020 , 39 ( 1 ): 51-58.
[ 6 ] 张阳峰,张斌,邓娜娜,等 . 机械设备振动信息采样定位检测仿真[ J ] . 计算机仿真, 2019 , 36 ( 6 ): 450-454.
[ 7 ] 吉毅,王娟 . 基于激光传感器的机械设备振动信号检测系统[ J ] . 激光杂志, 2020 , 41 ( 2 ): 186-189.
[ 8 ] 张艳梅,陆伟,杨余旺 . 一种基于关联频繁模式的振动数据流挖掘框架[ J ] . 数据采集与处理,2019 , 34 ( 5 ):872-882.
[ 9 ] 高扬,穆继亮,何剑,等 . 煤机设备无线自供电状态监测系统[ J ] . 机械工程学报, 2020 , 56 ( 13 ): 41-49.
[ 10 ] 张永芳,王霞,邢志国,等 . 面向机械装备健康监测的振动传感器研究现状[ J ] . 材料导报,2020 , 34 ( 13 ):13121-13130.

相似文献/References:

[1]刘小虎１,彭天亮２,３.基于小波分析的红外目标检测方法研究[J].机械与电子,2019,(05):32.
　,Research on Infrared Target Detection Mechod Based on Warelet Analysis[J].Machinery & Electronics,2019,(04):32.
[2]屈文斌.基于小波分析的谐波在线监测系统[J].机械与电子,2020,(11):33.
　Harmonic Online Monitoring System Based on Wavelet Analysis[J].Machinery & Electronics,2020,(04):33.

备注/Memo

备注/Memo:
收稿日期: 2021-10-09
作者简介:王冬冬 ( 1980- ),男,河北沧州人,硕士,工程师,研究方向为信息系统集成和泵类震动监测;孙 茜 ( 1989- ),女,河北沧州人,工程师,研究方向为软件开发和系统集成。
更新日期/Last Update: 2022-04-29