燃气轮机振动监测决策的模糊预测系统

Saadat Boulanouar, Hafaifa Ahmed, Belhadef Rachid, Kouzou Abdellah
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引用次数: 3

摘要

摘要:本文提出了一种基于模糊预测系统开发的决策方法,以确保燃气轮机的振动监测是基于安装的不同传感器的实时信息。在这种方法中,通过使用从不完整数据中重构完整数据的方法来考虑可能经常发生的不完整数据的情况。本文提出的模糊预测系统方法可以对燃气轮机系统的振动指标数据进行分析,准确识别故障,避免燃气轮机系统性能下降。为了证明本文提出的方法的鲁棒性,进行了多次测试。
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Fuzzy Prognosis System for Decision Making to Vibrations Monitoring in Gas Turbine
Abstract This paper proposes a decision making approach based on the development of a fuzzy prognostic system to ensure the vibrations monitoring of a gas turbine based on real time information obtained from different installed sensors. In this approach the case of incomplete obtained data which may occur frequently is taken into account by using an approach of full data reconstitution form incomplete data. The proposed fuzzy prognostic system approach presented in this paper allows the analysis of the data obtained via the vibration indicators of a gas turbine system for the accurate identification of the faults to avoid the performance degradation of such systems. In order to prove the robustness of the proposed approach presented in this paper, several tested has been performed.
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