Development and application of on-line monitoring and fault diagnosis device for operation state of centrifugal pumps

LIU Qichao; ZHOU Yunlong; LIANG Chao; YANG Mei; HUANG Na

doi:10.19666/j.rlfd.201809122

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Development and application of on-line monitoring and fault diagnosis device for operation state of centrifugal pumps

更新时间：2025-09-28

- Development and application of on-line monitoring and fault diagnosis device for operation state of centrifugal pumps
- Thermal Power Generation Vol. 48, Issue 1, Pages: 30-35(2019)
- 作者机构：
  
  东北电力大学能源与动力工程学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.201809122
  CLC： TK288
- Published Online：05 January 2019，
  
  Published：2019
- 稿件说明：
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LIU Qichao, ZHOU Yunlong, LIANG Chao, et al. Development and application of on-line monitoring and fault diagnosis device for operation state of centrifugal pumps[J]. Thermal power generation, 2019, 48(1): 30-35.
DOI：

LIU Qichao, ZHOU Yunlong, LIANG Chao, et al. Development and application of on-line monitoring and fault diagnosis device for operation state of centrifugal pumps[J]. Thermal power generation, 2019, 48(1): 30-35. DOI： 10.19666/j.rlfd.201809122.

摘要

为了准确监测离心泵的运行状态

建立了状态在线监测和故障诊断数学模型

研制了一种离心泵运行状态在线监测与故障诊断装置。该装置运行状态在线监测功能可以对离心泵的体积流量、入口压力、出口压力、扬程、功率、效率、轴向位移和径向位移进行在线监测并能够以曲线图、柱状图和数据表的形式显示。故障诊断功能包括初步诊断和精确诊断

初步诊断采用阈值对比法对汽蚀、基础松动、转子不对中和转子不平衡4种故障进行识别;精确诊断根据经验模态分解(EMD)能量熵将故障的严重程度划分为轻度、中度和重度。实际应用结果表明

该装置能够准确地对离心泵的运行状态进行在线监测和故障诊断。

Abstract

In order to accurately monitor the operation state of centrifugal pumps

mathematic model for online monitoring and fault diagnosis of the operation state was established

and an online monitoring and fault diagnosis device for centrifugal pumps was also developed. With the functions of running state monitoring and fault diagnosis on line

this device can monitor the volume flow

inlet pressure

outlet pressure

pump head

power

efficiency

axial displacement and radial displacement of the centrifugal pump online. Moreover

the running state can be displayed in forms of graph

histogram and table. The fault diagnosis function includes initial diagnosis and accurate diagnosis. The initial diagnosis adopts threshold contrast method to identify the four faults of cavitation

foundation looseness

rotor misalignment and rotor imbalance. The accurate diagnosis classifies the faults as mild

moderate and severe according to the empirical mode decomposition(EMD) energy entropy. The results show that this device can monitor and diagnose the operation state of the centrifugal pump accurately.

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