Measurement of low frequency vibration signals of hydroelectric generating set

CHEN Zhan-ping

doi:10.13873/j.1000-97872010.12.008

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Measurement of low frequency vibration signals of hydroelectric generating set

更新时间：2025-09-11

- Measurement of low frequency vibration signals of hydroelectric generating set
- Vol. 29, Issue 12, Pages: 118-120(2010)
- 作者机构：
  
  南京师范大学计算机科学与技术学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872010.12.008
  CLC： TM312
- Published：2010
- 稿件说明：
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[1]陈战平.水轮发电机组低频振动信号的测量[J].传感器与微系统,2010,29(12):118-120.

CHEN Zhan-ping. Measurement of low frequency vibration signals of hydroelectric generating set[J]. 2010, 29(12): 118-120.
[1]陈战平.水轮发电机组低频振动信号的测量[J].传感器与微系统,2010,29(12):118-120. DOI： 10.13873/j.1000-97872010.12.008.

CHEN Zhan-ping. Measurement of low frequency vibration signals of hydroelectric generating set[J]. 2010, 29(12): 118-120. DOI： 10.13873/j.1000-97872010.12.008.

摘要

通过系统辨识的方法建立振动速度传感器的幅频特性补偿器

用于实现水轮发电机组的低频振动速度测量。该方法以参考模型的幅频特性作为补偿后传感器的希望特性

以振动速度传感器的动态实验数据为输入基础

采用线性动态神经元（LDN）和误差白化的系统辨识方法得到补偿器的参数

以消除补偿器参数估计中的测量噪声影响。通过实验验证了该方法的有效性。

Abstract

The system identification method is used to establish the amplitude-frequency characteristic compensator of vibration velocity transducer for realizing low frequency vibration velocity measurement of a hydroelectric generating set.The amplitude-frequency characteristics of the reference model is used in this method as the ideal characteristics

according to measurement data of dynamic response of vibration velocity transducer

the parameter of the compensator is optimized by linear dynamic neuron（LDN） and error whitening criterion（EWC） for eliminating noise effect in the parameters estimation of compensator.Experimental results show that the approach is effective.

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references

模型参考和误差白化的传感器动态补偿算法 [J]. 刘清,曹国华. 控制理论与应用 . 2009(03)

水轮发电机组低频振动异常信号分析研究 [J]. 王海,郑莉媛,冯正祥,贺蕴谷,严普强,周汉安. 水力发电 . 2003(03)

一种新型的惯性式特殊低频传感器 [J]. 杨学志,毛乐山,严普强. 清华大学学报(自然科学版) . 1998(11)

DP传感器研究及桥梁自振特性测试 [J]. 杨学志,严普强,张锻,周佳,邓蓉. 振动.测试与诊断 . 1997(02)

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