基于虚拟传感器内插法的叶片高倍频振动辨识方法

doi:10.3901/JME.2019.19.001

机械工程学报 ›› 2019, Vol. 55 ›› Issue (19): 1-8.doi: 10.3901/JME.2019.19.001

• 特邀专栏：高端透平机械动力学 • 下一篇

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基于虚拟传感器内插法的叶片高倍频振动辨识方法

陈康^1,2, 张娅¹, 王维民², 张旭龙^1,2, 户东方²

1. 北京化工大学化工安全教育部工程研究中心北京 100029;
2. 北京化工大学高端机械装备健康监控与自愈化北京市重点实验室北京 100029

收稿日期:2018-11-01 修回日期:2019-05-09 出版日期:2019-10-05 发布日期:2020-01-07
通讯作者: 王维民(通信作者),男,1978年出生,博士,教授,博士研究生导师。主要研究方向为旋转机械动力学及故障诊断。E-mail:wwmbuct@163.com
作者简介:陈康,男,1995年出生。主要研究方向为涡轮叶片振动辨识及重构算法。E-mail:chenkang_1995@foxmail.com
基金资助:
国家自然科学基金（51775030，91860126）和中央高校基本科研业务费（BHYC1703A，JD1807）资助项目。

Identification Method of Blade Vibration with High EO Based on Virtual Sensor Interpolation

CHEN Kang^1,2, ZHANG Ya¹, WANG Weimin², ZHANG Xulong^1,2, HU Dongfang²

1. Chemical Safety Engineering Research Center of Ministry of Education, Beijing University of Chemical Technology, Beijing 100029;
2. Beijing Key Laboratory of Health Monitoring Control and Self-recovery for High-end Machinery, Beijing University of Chemical Technology, Beijing 100029

Received:2018-11-01 Revised:2019-05-09 Online:2019-10-05 Published:2020-01-07

摘要/Abstract

摘要： 叶片的振动及其导致的高周疲劳断裂问题是当前高性能透平机械研发与运行中面临的主要问题，高负荷叶片的流动参数在尾迹的干扰下发生周期性脉动造成高倍频振动是造成高周疲劳的主要因素，因此叶片高倍频振动的监测对高周疲劳的诊断预警具有重要意义。提出了基于虚拟传感器内插法的旋转态叶片高倍频信号重构及辨识方法，可实现高倍频的求解。在传感器安装夹角为6°的情况下可实现高达60倍频以内的振动辨识，理论上只需2支传感器即可进行倍频的识别，实际应用中采用4支传感器即可保证辨识精度，且只需一次启车或停车就可实现叶片振动频率的识别，简化了测试步骤。所提出的辨识方法可应用于航空发动机等静叶片数量较多、振动形式为高阶次高倍频的高端旋转机械的振动监测识别，模拟仿真和试验结果验证了该方法的有效性及准确性。

关键词: 叶尖计时(BTT), 叶片振动, 参数辨识, 倍频

Abstract: The vibration of blades and the corresponding high-cycle fatigue fracture are the main problems in the development and operation of high-performance turbomachinery. High engine order (EO) vibration caused by the periodic pulsation of the flow parameters of high-load blades under the disturbance of wakes which is the main factors for high-cycle fatigue. Therefore, the high EO vibration monitoring is important for the diagnosis and early warning of high-cycle fatigue. A method is proposed for reconstruction and identification of high EO signals in rotating blades based on virtual sensor interpolation method, which can be a good solution for the vibration of blades with high EO, and can achieve vibrations up to 60EO when the angle of sensor installation is 6 degrees. Theoretically, only two sensors are needed for this method and four sensors can be used to ensure the identification accuracy in practical applications. What's more, only one start up or stop of the turbomachinery is needed to identify the vibration of blade, which simplifies the test steps. The method can be used for the vibration monitoring and identification of high-end rotating machinery such as aircraft engine, which has a large number of stationary blades and vibrates in high order mode and high-EO. The comparison between the experimental data and the simulation results indicates the effectiveness and accuracy of this method.

Key words: blade tip-timing (BTT), blade vibration, parameter identification, engine order (EO)

中图分类号:

TK14
V216

陈康, 张娅, 王维民, 张旭龙, 户东方. 基于虚拟传感器内插法的叶片高倍频振动辨识方法[J]. 机械工程学报, 2019, 55(19): 1-8.

CHEN Kang, ZHANG Ya, WANG Weimin, ZHANG Xulong, HU Dongfang. Identification Method of Blade Vibration with High EO Based on Virtual Sensor Interpolation[J]. Journal of Mechanical Engineering, 2019, 55(19): 1-8.

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基于虚拟传感器内插法的叶片高倍频振动辨识方法

Identification Method of Blade Vibration with High EO Based on Virtual Sensor Interpolation

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