燃气轮机气路与传感器耦合故障诊断模型研究

doi:10.3969/j.issn.1004-132X.2021.24.008

中国机械工程 ›› 2021, Vol. 32 ›› Issue (24): 2960-2966，2974.DOI: 10.3969/j.issn.1004-132X.2021.24.008

燃气轮机气路与传感器耦合故障诊断模型研究

闫丽萍1,2;张华良1,2,3;董学智1,2;陈海生1,2;谭春青1,2

1.中国科学院工程热物理研究所,北京,100190
2.中国科学院大学,北京,100049
3.中科院工程热物理研究所南京未来能源系统研究院，南京，211135

出版日期:2021-12-25 发布日期:2022-01-11
通讯作者: 张华良(通信作者)，男，1978年生，正高级工程师、博士研究生导师。研究方向为叶轮机械内部流动分离及其控制方法。E-mail：zhanghl@iet.cn。
作者简介:闫丽萍，女，1994年生，博士研究生。研究方向为叶轮机械故障诊断。E-mail:yanliping@iet.cn。
基金资助:
国家杰出青年科学基金(51925604);
中国科学院国际合作局国际伙伴计划(182211KYSB20170029);
中科院洁净能源先导科技专项(XDA21070302)

Research on Gas Path and Sensor Coupling Fault Diagnosis Model for Gas Turbines

YAN Liping1,2;ZHANG Hualiang1,2,3;DONG Xuezhi1,2;CHEN Haisheng1,2;TAN Chunqing1,2

1.Institute of Engineering Thermophysics,Chinese Academy of Sciences,Beijing,100190
2.University of Chinese Academy of Sciences,Beijing,100049
3.Nanjing Institute of Future Energy System,IET,CAS,Nanjing,211135

Online:2021-12-25 Published:2022-01-11

摘要/Abstract

摘要： 燃气轮机传感器如在运行期间发生故障，产生的测量偏差会严重影响气路诊断结果的准确性。针对以上问题，提出一种燃气轮机气路与传感器耦合故障诊断模型，该模型采用工况变化引起的测量变化量替代常规的测量量，以减少传感器偏置故障的干扰。在此基础上，应用无迹卡尔曼滤波器跟踪测量变化量与不同工况引起的非线性模型预测变化量之间的残差估计气路健康参数，并以此更新传感器诊断系统中各个滤波器，根据滤波器的残差序列加权平方和进行传感器故障隔离。最后，对某典型三轴式燃气轮机进行仿真实例研究，结果表明该模型可减少气路故障与传感器故障的耦合效应，实现气路与传感器故障的准确诊断。

关键词: 多工况, 气路诊断系统, 传感器故障, 耦合故障, 无迹卡尔曼滤波器

Abstract: If the sensors of gas turbine fail during operations, and the measurement deviation would seriously affect the accuracy of gas path diagnosis results. In order to solve the above problems, a gas path and sensor coupling fault diagnosis model for gas turbines was proposed. In this model, the measurement variations caused by the changes of working conditions were used instead of the conventional measurements, to reduce the interferences of sensor bias faults. Then, the unscented Kalman filter was adopted to estimate the gas path health parameters by tracking the residual errors between the measured variation and predicted variation caused by different working conditions. Each filter in the sensor diagnosis systems was updated, and the sensor faults were isolated according to the weighted square sum of the residual sequence of the filters. Finally, a simulation example of a typical three-shaft gas turbine was carried out, which shows that the proposed model may reduce the coupling effects between gas path faults and sensor faults, and may realize accurate diagnosis of gas path fault and sensor fault.

Key words: multi-condition operation, gas path diagnosis system, sensor fault, coupling fault, unscented Kalman filter

中图分类号:

TK181
TK478

闫丽萍, 张华良, 董学智, 陈海生, 谭春青, . 燃气轮机气路与传感器耦合故障诊断模型研究[J]. 中国机械工程, 2021, 32(24): 2960-2966，2974.

YAN Liping, ZHANG Hualiang, DONG Xuezhi, CHEN Haisheng, TAN Chunqing, . Research on Gas Path and Sensor Coupling Fault Diagnosis Model for Gas Turbines[J]. China Mechanical Engineering, 2021, 32(24): 2960-2966，2974.

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燃气轮机气路与传感器耦合故障诊断模型研究

Research on Gas Path and Sensor Coupling Fault Diagnosis Model for Gas Turbines

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