FILTRATION TREATMENT OF THERMODYNAMIC PARAMETERS CONCERNING THERMAL POWER UNIT BASED ON EMPIRICAL MODE DECOMPOSITION

JIANG Hao1; LI Yun2; LI Heng3; WANG Zhi-wei1; YANG Dong1; GE Xin1; LAI Fei11.Xi'an Thermal Power Research Institute Co Lt

doi:10.19666/j.rlfd.2008.06.018

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FILTRATION TREATMENT OF THERMODYNAMIC PARAMETERS CONCERNING THERMAL POWER UNIT BASED ON EMPIRICAL MODE DECOMPOSITION

Thermal Power Generation Issue 6, Pages: 64-68(2008)

更新时间：2025-09-28

- FILTRATION TREATMENT OF THERMODYNAMIC PARAMETERS CONCERNING THERMAL POWER UNIT BASED ON EMPIRICAL MODE DECOMPOSITION
- 作者机构：
  
  1. 西安热工研究院有限公司
  2. 贵州电力调度通信局
  3. 西安电力高等专科学校
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2008.06.018
  CLC： TM621.3
- Published：2008
- 稿件说明：
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JIANG Hao1, LI Yun2, LI Heng3, et al. FILTRATION TREATMENT OF THERMODYNAMIC PARAMETERS CONCERNING THERMAL POWER UNIT BASED ON EMPIRICAL MODE DECOMPOSITION[J]. Thermal Power Generation, 2008, (6): 64-68.
DOI：

JIANG Hao1, LI Yun2, LI Heng3, et al. FILTRATION TREATMENT OF THERMODYNAMIC PARAMETERS CONCERNING THERMAL POWER UNIT BASED ON EMPIRICAL MODE DECOMPOSITION[J]. Thermal Power Generation, 2008, (6): 64-68. DOI： 10.19666/j.rlfd.2008.06.018.

摘要

火电机组性能在线监测结果波动大使运行参数或设备性能状况发生改变引起的机组性能变化的真实信号淹没在诸多噪声之中

以致无法得到正确的分析结果。对此

利用经验模态分解的多尺度滤波特性对机组热力参数进行了滤波处理

用处理过的数据计算机组热耗率

使波动问题得到了明显改善

波动幅度由2.5%降为0.3%

准确反映了热耗率随负荷的变化趋势。

Abstract

The fluctuation of on-line performance monitoring results is very large

this problem must be overcome in the technology of units' performance monitoring and diagnosis.The real signal of units' performance variation resulting from variation of operating parameters and equipment performance is drowned in many noises

leading to correct analysis results being unable to be obtained.For this

the units' thermodynamic parameters have been filtered by using the multiscale filtering character of the empirical mode decomposition.The fluctuation of units' heat consumption rate calculated by using the filtered data has been apparently improved

the fluctuation range being decreased from 2.5% to 0.3%

and the result correctly reflecting the trend of heat consumption rate variation along with the load.

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Related Institution

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