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机械设备的状态监测与故障诊断 第二讲 振动信号分析
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作者 赵飞鹏 沈久珩 《有色设备》 1990年第2期33-40,60,共9页
机器无论大小、精度高低,在工作中都会产生振动,不同的机器故障对应不同的振动特性,应用振动信号进行设备故障诊断是故障诊断的主要方法之一。本文介绍振动量的测量及振动信号数据的采集,振动信号的时域分析和领域分析及其他种种分析技... 机器无论大小、精度高低,在工作中都会产生振动,不同的机器故障对应不同的振动特性,应用振动信号进行设备故障诊断是故障诊断的主要方法之一。本文介绍振动量的测量及振动信号数据的采集,振动信号的时域分析和领域分析及其他种种分析技术,应用振动信号的分析进行设备故障的诊断。 展开更多
关键词 故障诊断 振动信号分析 功率谱 信号数据 机械设备 振动 自相关函数 幅值谱 确定性振动 频域分析
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Probabilistic model and analysis of coupled train-ballasted track-subgrade system with uncertain structural parameters 被引量:5
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作者 MAO Jian-feng XIAO Yuan-jie +2 位作者 YU Zhi-wu Erol TUTUMLUER ZHU Zhi-hui 《Journal of Central South University》 SCIE EI CAS CSCD 2021年第7期2238-2256,共19页
Random dynamic responses caused by the uncertainty of structural parameters of the coupled train-ballasted track-subgrade system under train loading can pose safety concerns to the train operation.This paper introduce... Random dynamic responses caused by the uncertainty of structural parameters of the coupled train-ballasted track-subgrade system under train loading can pose safety concerns to the train operation.This paper introduced a computational model for analyzing probabilistic dynamic responses of three-dimensional(3D)coupled train-ballasted track-subgrade system(TBTSS),where the coupling effects of uncertain rail irregularities,stiffness and damping properties of ballast and subgrade layers were simultaneously considered.The number theoretical method(NTM)was employed to design discrete points for the multi-dimensional stochastic parameters.The time-histories of stochastic dynamic vibrations of the TBSS with systematically uncertain structural parameters were calculated accurately and efficiently by employing the probability density evolution method(PDEM).The model-predicted results were consistent with those by the Monte Carlo simulation method.A sensitivity study was performed to assess the relative importance of those uncertain structural parameters,based on which a case study was presented to explore the stochastic probability evolution mechanism of such train-ballasted track-subgrade system. 展开更多
关键词 coupled train-ballast-subgrade system structural parameter uncertainty stochastic dynamic analysis probability density evolution method wheel-rail interaction
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Optimization of uncertain acoustic metamaterial with Helmholtz resonators based on interval model 被引量:1
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作者 XIA BaiZhan QIN Yuan +2 位作者 CHEN Ning Yu DeJie JIANG Chao 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2017年第3期385-398,共14页
In summary,the interval uncertainty is introduced to the acoustic metamaterial with Helmholtz resonators.And then,new descriptions(the conservative approximation,the unsafe approximation and the approximation precisio... In summary,the interval uncertainty is introduced to the acoustic metamaterial with Helmholtz resonators.And then,new descriptions(the conservative approximation,the unsafe approximation and the approximation precision)on uncertainties of physical properties of this interval acoustic metamaterial are defined.Lastly,an optimization model for this interval acoustic metamaterial is proposed.The organization of this paper is listed as follows.The acoustic transmission line method(ATLM)for an acoustic metamaterial with Helmholtz resonators is described in Section 2.In Section3,uncertain analysis of the interval acoustic metamaterial is presented.In Section 4,optimization model of the interval acoustic metamaterial is proposed.The discussion on optimization results is shown in Section 5.In section 6,some conclusions are given. 展开更多
关键词 acoustic metamaterial sound intensity transmission coefficient negative effective bulk modulus interval model optimization
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Structural finite element model updating using incomplete ambient vibration modal data 被引量:4
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作者 CHEN HuaPeng TEE KongFah 《Science China(Technological Sciences)》 SCIE EI CAS 2014年第9期1677-1688,共12页
This paper presents an effective approach for updating finite element dynamic model from incomplete modal data identified from ambient vibration measurements.The proposed method is based on the relationship between th... This paper presents an effective approach for updating finite element dynamic model from incomplete modal data identified from ambient vibration measurements.The proposed method is based on the relationship between the perturbation of structural parameters such as stiffness and mass changes and the modal data measurements of the tested structure such as measured mode shape readings.Structural updating parameters including both stiffness and mass parameters are employed to represent the differences in structural parameters between the finite element model and the associated tested structure.These updating parameters are then evaluated by an iterative solution procedure,giving optimised solutions in the least squares sense without requiring an optimisation technique.In order to reduce the influence of modal measurement uncertainty,the truncated singular value decomposition regularization method incorporating the quasi-optimality criterion is employed to produce reliable solutions for the structural updating parameters.Finally,the numerical investigations of a space frame structure and the practical applications to the Canton Tower benchmark problem demonstrate that the proposed method can correctly update the given finite element model using the incomplete modal data identified from the recorded ambient vibration measurements. 展开更多
关键词 finite element model updating dynamic perturbation method regularization algorithm ambient vibration measure-ments Canton Tower benchmark problem
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