A novel integrated modeling approach for filter diagnosis in gas turbine air intake system

滤波器(信号处理) 涡轮机 燃气轮机 组分(热力学) 控制理论(社会学) 路径(计算) 环境科学 计算机科学 工程类 热力学 机械工程 控制(管理) 物理 计算机视觉 人工智能 程序设计语言
作者
Yunfeng Jin,Chao Liu,Xin Tian,Haizhou Huang,Gaofeng Deng,Yunlong Guan,Dongxiang Jiang
出处
期刊:Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy [SAGE Publishing]
卷期号:236 (3): 435-449 被引量:8
标识
DOI:10.1177/09576509211044392
摘要

Due to the complex and harsh environmental factors, the useful life of the filter in the gas turbine air intake system is usually less than its design life. When the filter is seriously degraded, the power and thermal efficiency of the gas turbine will decrease obviously due to the increase of inlet pressure loss. For evaluating the health condition of filters in the air intake system, this work forms a filter pressure loss model with the defined health index for the filter and five external environmental and control factors. By integrating the gas path component model, the combined model is applied in a real data set and the results show that (i) the proposed health index is efficient in representing the degradation state of the filter, (ii) the influencing factors on the pressure loss are successfully decoupled and their contributions on the pressure are quantitatively estimated, and (iii) the integrated model of filter pressure loss and gas path component can be used to better estimate the deterioration states of the filter as well as the gas turbine performance.
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