热力透平2026，Vol.55Issue(1)：44-47,4.DOI:10.13707/j.cnki.31-1922/th.2026.01.008
基于指数加权移动平均的燃气轮机参数特征检测方法
Detection Method for Parameter Feature of Gas Turbine Based on Exponential Weighted Moving Average
于爽 1王婷婷 1张硕扬 1孙淼1
作者信息
- 1. 中国航空发动机集团有限公司沈阳发动机研究所,沈阳 110015
- 折叠
摘要
Abstract
The gas turbine health monitoring system is used for monitoring,isolating and diagnosing faults of main components in gas turbine.Step and ramp change detection are the foundations of health monitoring,and the results can reflect abnormal operation of gas turbine.By analyzing the shortcomings of conventional detection technologies of step and ramp features,a detection algorithm for gas turbine parameter feature based on statistical methods was proposed to automatically detect potential step and ramp changes of the monitored parameters.Actual test data of gas turbine validated that the algorithm could effectively detect abnormal step and ramp changes in parameters,thus,it could assist maintenance personnel to monitor the health status of gas turbine.The research findings can provide reference for optimization of health monitoring technology for gas turbine.关键词
燃气轮机/健康监测/阶跃和斜坡变化检测Key words
gas turbine/health monitoring/change detection of step and ramp分类
能源科技引用本文复制引用
于爽,王婷婷,张硕扬,孙淼..基于指数加权移动平均的燃气轮机参数特征检测方法[J].热力透平,2026,55(1):44-47,4.
