面向燃机多工况宽频域工作模态参数识别的随机子空间方法

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摘要面向燃气轮机工作状态下多工况、宽频域模态参数识别需求，在对典型燃机整机振动模态分析的基础上，虑及测试数据类型、测点位置与方向的选取及不同运行工况影响，提出一种针对燃机整机工作模态参数识别的随机子空间方法。基于实测振动数据，对典型燃机工作模态参数进行了自动划分识别。结果表明：通过分别控制行块数，充分挖掘位移、速度、加速度三种类型数据包含的不同频段模态参数信息并对识别结果择优合并，能够较好识别出数十倍于燃机工频的宽频域模态；合理选取测点位置和方向，能够得到关心频段内局部或整体模态；利用多转速运行工况数据，能够区分出受转速影响的整体模态。实现了对燃机整机振动宽频域范围内整体和局部模态、机匣和转子模态的识别，可为在此基础上的动力特性分析、整机动力学模型修正、结构振动状态评估、振动故障特征提取等提供支撑。

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	左彦飞1
	庞陈意1
	江志农2
	冯坤3

关键词 ：燃气轮机, 模态参数识别, 随机子空间识别方法, 宽频域, 多工况

Abstract：Facing the multi-operating conditions and wide-band modal parameters identification requirements of gas turbine under operating conditions. Based on the vibration modal analysis of the typical gas turbine, considering the test data types, the measurement points selection in different position and orientation, and different operating conditions. A random subspace method for gas turbine operating modal parameters identification was proposed. Based on the measured vibration data, the operating modal parameters of certain typical gas turbine were automatically divided and identified. The results show that if the rows and blocks number are controlled respectively, the modal parameter information of different frequency bands contained displacement, velocity, and acceleration data is fully excavated, and merged by selecting the best results, it could better identify the modal parameters in the wide frequency domain which are dozens of times the gas turbine operating frequency; Reasonable selection of measuring points’ position and direction could obtain partial and whole modal in the interest frequency band; Using multi-rotating speed data, it is possible to distinguish the whole modal affected by the rotating frequency. It realizes the identification of the partial and whole modal, casing-domainded and rotor-domainded modal in the wide frequency range of the gas turbine, which could provide support for dynamic analysis, whole machine model updating, structural vibration state assessment, vibration fault feature extraction.

Key words： gas turbine modal parameters identification stochastic subspace identification method wide frequency domain multiple operating conditions

收稿日期: 2022-01-27 出版日期: 2023-04-15

引用本文:

左彦飞1，庞陈意1，江志农2，冯坤3. 面向燃机多工况宽频域工作模态参数识别的随机子空间方法[J]. 振动与冲击, 2023, 42(7): 225-236.
ZUO Yanfei1, PANG Chenyi1, JIANG Zhinong2, FENG Kun3. Stochastic subspace method for identification of operating modal parameters of gas turbine under multi-working condition in wide frequency domain. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(7): 225-236.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2023/V42/I7/225

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