Analysis and Treatment of Mass Unbalance Fault of Fan in Large Thermal Power Plant

Wei WEI

doi:10.12096/j.2096-4528.pgt.19111

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Analysis and Treatment of Mass Unbalance Fault of Fan in Large Thermal Power Plant

Power Generation and Enbironmental Protection | 更新时间：2025-07-04

- Analysis and Treatment of Mass Unbalance Fault of Fan in Large Thermal Power Plant
- Power Generation Technology Vol. 41, Issue 2, Pages: 198-201(2020)
- 作者机构：
  
  湖北华电西塞山发电有限公司, 湖北省黄石市 435000
- 作者简介：
- 基金信息：
- DOI：10.12096/j.2096-4528.pgt.19111
  CLC： TM621
- Received：29 July 2019，
  
  Published：30 April 2020
- 稿件说明：
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Wei WEI. Analysis and Treatment of Mass Unbalance Fault of Fan in Large Thermal Power Plant[J]. Power Generation Technology, 2020, 41(2): 198-201.
DOI：

Wei WEI. Analysis and Treatment of Mass Unbalance Fault of Fan in Large Thermal Power Plant[J]. Power Generation Technology, 2020, 41(2): 198-201. DOI： 10.12096/j.2096-4528.pgt.19111.

摘要

质量不平衡是火电厂风机最常见的故障之一，有时即使是其他故障导致的风机振动，也会因质量不平衡引起的激振力而造成振动值成倍增加，因此提高动平衡精度至关重要。讨论了风机不平衡故障的频率、幅值以及相位特征，以便于准确判断故障原因；介绍了常用的2种现场处理方法，并提供了经验公式。最后通过2个现场动平衡案例，分析了大型风机现场动平衡的基本过程，表明同类设备采用相同影响系数可极大地提高动平衡效率。研究结果为火电厂风机不平衡问题的故障分析及处理提供参考。

Abstract

Mass unbalance is one of the most common faults of fans in thermal power plants. Sometimes

even the vibration of fans caused by other faults can be doubled by the exciting force caused by mass unbalance. Therefore

it is very important to improve the accuracy of dynamic balance. The frequency

amplitude and phase characteristics of unbalanced faults were discussed in order to judge the unbalanced faults accurately. Then

two common field treatment methods of unbalanced faults were introduced

and empirical formulas were provided. Finally

the basic process of field dynamic balancing of large-scale fan was explained through two cases of field dynamic balancing. It shows that the same influence coefficient will greatly improve the efficiency of dynamic balancing of similar equipment. The research results provide a reference for the fault analysis and treatment of fan imbalance in thermal power plant

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references

朱宏, 汪岚.浅析风机常见振动故障的特征及诊断标准[J].风机技术, 2003(3):54-55.

许伟强, 石磐, 何鹏锐. 600 MW超临界"W"火焰炉RB控制策略及优化试验[J].发电技术, 2019, 40(S1):32-36.

马海彦, 周雷, 王庭文, 等. 1060 MW燃煤机组烟道流场性能诊断与优化[J].发电技术, 2018, 39(3):253-258.

王松岭, 刘哲, 靳会宁, 等. 300 MW机组二次风机振动的故障诊断及处理[J].电站系统工程, 2010, 26(4):35-37.

张学延.一台锅炉送风机振动故障诊断和处理[J].流体机械, 1999(12):32-34.

金锐, 汪江, 陆颂元.某电厂一次风机振动故障诊断及动平衡[J].汽轮机技术, 2002, 44(3):178-181.

房林铁. 600 MW双级轴流式引风机振动故障分析及处理[J].电站系统工程, 2018, 34(2):39-42.

刘涛, 刘吉臻, 吕游, 等.基于多元状态估计和偏离度的电厂风机故障预警[J].动力工程学报, 2016, 36(6):454-460.

王运民, 肖汉才, 赵世长, 等.石门电厂300 MW机组引风机振动分析[J].热能动力工程, 2003, 18(3):285-288.

王凤良, 府冬明, 许志铭.电厂风机动平衡技术研究与应用[J].电站系统工程, 2013, 29(4):46-48.

杨绍宇, 李文.火电厂风机动平衡技术应用及实例[J].风机技术, 2012(1):81-84.

曾庆猛, 温淑媛, 刘志敏.某大型火力发电厂引风机振动故障诊断与处理[J].电站系统工程, 2017, 33(3):43-45.

刘占辉, 罗剑斌, 卢一兵.影响系数法在引风机现场动平衡中的应用[J].风机技术, 2011(3):79-82.

杨建刚.旋转机械振动分析与工程应用[M].北京:中国电力出版社, 2007:68-71.

刘建平, 何江飞.海上风电风机基础初步设计及数值分析[J].浙江电力, 2018, 37(7):19-25.

陈长征, 胡立新, 周勃, 等.设备振动分析与故障诊断技术[M].北京:科学出版社, 2007:405-419.

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