通过基于性能的综合方法预测燃气轮机部件的健康状况

Elias Tsoutsanis, N. Meskin
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引用次数: 2

摘要

在这项研究中,我们提出了一种检测和预测燃气轮机部件健康状况随时间退化的综合方法。提出了一种先进的基于模型的实时性能自适应方法,通过在Simulink中建立的动态发动机模型来检测发动机部件的退化。然后将检测到的发动机部件健康参数通过回归方法实现为离散窗口分析,以预测其演变。所提出的方法已在一种具有更高灵活性的发动机上进行了测试,这种发动机是现代燃气轮机运行的特点。结果表明,我们提出的先进方法能够准确有效地检测和预测燃气轮机压缩机随时间退化的健康状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting the health of gas turbine components through an integrated performance-based approach
In this study, we present an integrated method for detecting and forecasting the health of gas turbine components as degraded over time. An advanced model-based real time performance adaptation approach is developed for detecting the degradation of engine components via a dynamic engine model that is built in Simulink. The detected health parameters of the engine component are then implemented in a discrete window-based analysis by a regression method in order to forecast their evolution. The proposed approach is tested for an engine with increased flexibility that characterizes modern gas turbine operations. The results demonstrate the promising capabilities of our advanced proposed method for accurate and efficient detection and forecast of the health of gas turbine compressors as degraded over time.
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