《机电工程》杂志社科技期刊核心期刊论文投稿机电一体化机械、仪表电工自动化、计算机浙江大学主办

Introduction

International Standard Serial Number:

ISSN 1001-4551

Sponsor:

Zhejiang University;

Zhejiang Machinery and Electrical Group

Edited by:

Editorial of Journal of Mechanical & Electrical Engineering

Chief Editor:

ZHAO Qun

Vice Chief Editor:

TANG ren-zhong,

LUO Xiang-yang

Tel:

86-571-87041360,87239525

Fax:

86-571-87239571

Add:

No.9 Gaoguannong,Daxue Road,Hangzhou,China

P.C:

310009

E-mail:

meem_contribute@163.com

Speed identification and fault diagnosis of centrifugal pump based on data-driven

Published:2023-10-19 author:WANG Jian-ping, YANG Lei, ZHANG Xin-rui, et al. Browse: 286 Check PDF documents

Speed identification and fault diagnosis of centrifugal pump based on datadriven

WANG Jian-ping1, YANG Lei1, ZHANG Xin-rui1, CHEN Hui-ping1, NIU Hui-zhao2, SONG Jian2, ZHOU Tong-xing3

(1.Oil Delivery Team of Oil and Gas Storage and Transportation Branch of Xinjiang Oilfield Company, Changji 831100, China; 2.Beijing

Yadan Petroleum Technology Development Co., Ltd., Beijing 102200, China; 3.Power Test & Research Institute, Hefei 230601, China)

Abstract: In response to the problems of high cost and operation difficulties in extracting centrifugal pump speed data, and large errors of the obtained priori parameters, a completely data-driven centrifugal pump speed identification method was proposed. Firstly, the complex spectrum of vibration signals was obtained through fast Fourier transform (FFT) calculation, and then the equivalent speed spectrum was calculated by using the spectrum in the effective frequency band. After that, the difference between the spectral peak of the velocity spectrum and the background energy was calculated to obtain the maximum value of difference and compare it with the current background energy. If the condition was satisfied, the corresponding frequency was the rotational frequency of the centrifugal pump. The envelope spectrum was obtained by demodating the original vibration signal, and the fault frequency with obvious harmonic characteristics was searched in the envelope spectrum, and the sideband characteristics around the fault frequency were analyzed. Combining with the fault frequency and sideband characteristics, the fault diagnosis of the centrifugal pump could be analyzed. Finally, the accuracy of the above algorithm model was verified by the actual centrifugal pump vibration data obtained from the experiment. The experimental results show that for the impact signal of the centrifugal pump with obvious inner ring fault characteristics, the rotation frequency is accurately identified as 43.58 Hz, and in the envelope spectrum, the obvious fault feature frequency is 214.8 Hz and the fault feature coefficient is 4.93, which is in line with the fault signal characteristics of the bearing inner ring and is consistent with the actual centrifugal pump fault. The results show that the method of calculating the difference between the spectral peak of the velocity spectrum and the background energy can effectively eliminate noise interference, accurately identify the equipment speed, and provide technical support for equipment fault diagnosis in actual engineering.

Key words: centrifuge pump; speed identification; frequency spectrum; equivalent velocity spectrum; background energy; fault feature coefficient

Advanced Search

Online Office System

Chinese Core Periodicals
Chinese Sci-tech Core Periodicals
SA, INSPEC Indexed
CSA: T Indexed
UPD:Indexed