基于电流振动双信号的大型潜水电机偏心故障诊断

doi:10.11985/2016.07.004

电气工程学报 ›› 2016, Vol. 11 ›› Issue (7): 23-31.doi: 10.11985/2016.07.004

基于电流振动双信号的大型潜水电机偏心故障诊断

鲍晓华,程志恒

合肥工业大学电气与自动化工程学院合肥 230009

收稿日期:2016-04-15 出版日期:2016-07-25 发布日期:2020-01-09
作者简介:Bao Xiaohua (鲍晓华), male, was born in 1972, professor,his main research interests are in the field of motor design, magnetic field analysis, and finite element analysis.|Cheng Zhiheng (程志恒), male, was bore in 1991, postgra-duate student, his main research interests are in the field of rotor eccentricity fault, noise and vibration of the motor.
基金资助:
安徽省工业节电与电能质量控制协同创新中心开放题基金资助项目(KFKT201505)

Eccentricity Fault Diagnosis Based on Dual Signal Analysis in Large Submersible Motor

Xiaohua Bao,Zhiheng Cheng

Hefei University of Technology Hefei 230009 China

Received:2016-04-15 Online:2016-07-25 Published:2020-01-09

摘要/Abstract

摘要：

气隙偏心故障在大型感应电机的运行操作过程中是一种常见的故障形式,潜水电机尤为更甚。针对实际工程中的偏心形式,通过仿真计算转轴挠度,提出弧偏心模型。本文以一台1 200kW的潜水电机为研究对象,构建弧偏心模型,进而分析研究定子故障电流。采用三维有限元法来分析计算由气隙磁场作用在转子表面所产生的不平衡磁拉力,并提取在不同偏心度情况下的磁拉力幅值。为了有效检测出弧偏心故障,本文提出基于振动信号的频谱以及定子电流特征信号相对比的检测方法,并通过仿真验证了双信号检测方法的有效性。

关键词: 大型潜水电机, 弧偏心, 电机电流信号分析, 不平衡磁拉力, 振动信号分析

Abstract:

Air-gap eccentricity commonly occurs in large induction motors, especially submersible motors. Based on this failure, a curved eccentricity model is set up by simulating the deflection of the shaft and such model is applied to prototype (1 200kW submersible motor) and current analysis of the faulty machine is carried out in this paper. Then, the amplitude of the unbalanced magnetic force is calculated by analyzing the influence of the air gap on the magnetic field and 3-D finite element method is carried out to calculate UMP in curved eccentric motor. By comparing the amplitude of the vibration signal spectrum and current signal spectrum, the existence of curved eccentricity can be detected. The result proves the feasibility of such dual signal analysis on curved eccentricity.

Key words: Large submersible motor, curved eccentricity, motor current signature analysis, unbalanced magnetic pull, vibration analysis

中图分类号:

TM343

鲍晓华,程志恒. 基于电流振动双信号的大型潜水电机偏心故障诊断[J]. 电气工程学报, 2016, 11(7): 23-31.

Xiaohua Bao,Zhiheng Cheng. Eccentricity Fault Diagnosis Based on Dual Signal Analysis in Large Submersible Motor[J]. Journal of Electrical Engineering, 2016, 11(7): 23-31.

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基于电流振动双信号的大型潜水电机偏心故障诊断

Eccentricity Fault Diagnosis Based on Dual Signal Analysis in Large Submersible Motor

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