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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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

Received: 27 January 2022 Published: 15 April 2023

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	Articles by authors
	ZUO Yanfei1
	PANG Chenyi1
	JIANG Zhinong2
	FENG Kun3

Cite this article:

ZUO Yanfei1,PANG Chenyi1,JIANG Zhinong2, et al. Stochastic subspace method for identification of operating modal parameters of gas turbine under multi-working condition in wide frequency domain[J]. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(7): 225-236.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2023/V42/I7/225

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