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DOI:
燃气轮机技术:2020,33(2):18-24
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基于二次炳特征提取的燃气轮机气路诊断方法
(1.上海上电电力工程有限公司;2.上海电力大学 能源与机械工程学院)
Quadratic Entropy Feature Extraction based Gas Turbine Gas Path Diagnosis
(1.Shanghai Shangdian Electric Power Engineering Co. , Ltd.;2.School of Energy and Mechanical Engineering, Shanghai University of Electric Power)
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中文摘要: 针对现有燃气轮机气路故障预测诊断方法存在的问题,本文提出了一种基于二次嫡特征提取的前向 求解的新型气路诊断方法。通过案例分析表明,所提出的基于二次嫡特征提取的气路诊断方法不依赖于故 障样本集,也不受实际部件特性线的固有非线性形状变化的限制,具有良好的诊断适用性。燃气轮机气路可 测参数基于香农嫡与指数嫡的二次特征提取后,在二维平面上有显著的类间分离度和类内聚合度,可使机组用户及运维人员简单方便的采用气路诊断策略来监测燃气轮机运行健康状况,便于全寿命周期健康管理。
Abstract:Aiming at the problems of existing gas-path diagnosis methods, this paper proposes a novel gas-path diagnosis method based on quadratic entropy feature extraction. The case study shows that the proposed gas path diagnosis method based on quadratic entropy feature extraction does not depend on the fault sample set, nor is it limited by the inherent nonlinear shape change of the actual component characteristic maps, and has good diagnostic applicability. After two-dimensional entropy features of gas-path measurable parameters of the gas turbine are extracted by Shannon entropy and exponential entropy, there are significant inter-class separation and intra-class aggregation degree on the two-dimensional plane. It is convenient for the operation and maintenance personnel to use the gas path diagnosis strategy to monitor the health status of the gas turbine and facilitate the life cycle health management.
文章编号:     中图分类号:TM74    文献标志码:
基金项目:国家自然科学基金项目(51806135)
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[2]KIM K M, PARK J S, DONG H L, et al. Analysis of conjugated heat transfer, stress and failure in a gas turbine blade with circular cooling passages[J]. Engineering Failure Analysis, 2011, 18(4):1212-1222.

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