A time-varying comprehensive dynamic model for the rotor system with multiple bearing faults

A time-varying comprehensive dynamic model for the rotor system with multiple bearing faults
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多轴承故障转子系统时变综合动力学模型

DOI:
10.1016/j.jsv.2020.115650
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发表时间:
2020-08
影响因子:
4.7
通讯作者:
Borui Li
Borui Li
中科院分区:
工程技术2区
文献类型:
--
作者:
Hui Yu;Yan Ran;Genbao Zhang;Xinlong Li;Borui Li

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相似文献

转子系统在加工机械、航空发动机和风力涡轮机中起着至关重要的作用。由于转子系统在运行过程中运动部件会发生磨损,实际上系统的性能在整个运行周期内是变化的,特别是对于存在各种缺陷的转子系统。然而,现有的轴承缺陷模型都忽略了轴承动力特性的变化,不能很好地反映实际情况。因此,本文提出了一个模型,考虑这种变化。分布和局部缺陷的影响下,从系统本身的激励建模。在Lankarani-Nikaravesh模型的基础上,结合实验观察,建立了一个时变磨损模型。不仅考虑了系统动力学行为的影响,而且考虑了零件和缺陷的几何形貌。实验数据和前人的研究结果验证了该模型的有效性。大量的案例研究进行了调查的缺陷对系统性能的影响下,不平衡的激励。通过对不同系统在不同时刻的性能比较,说明了磨损对系统响应的影响。该模型提供了一个更好的理解转子系统在服务期间的性能演变。此外,该模型也适用于系统故障诊断和健康监测。
Rotor systems play a vital role in processing machinery, aero engines, and wind turbines. Since moving parts can be worn during operation, the system performance is variable throughout the service period actually, especially for the rotor system with various defects. Unfortunately, the existing models about bearing defects are established neglecting the changes of dynamic behaviors, which may not reflect the practice well. Thus, a model that considers this variation is proposed in this paper. The effects of both distributed and localized defects are modeled under the excitation from the system itself. Based on the Lankarani-Nikaravesh model and experimental observations, we established a time-varying wear model. The influences are considered not only on system dynamic behaviors but also on the geometry topographies of both parts and defects. The proposed model is validated with experimental data and prior researches. Extensive case studies are carried out to investigate the influences of the defects on system performance under an imbalanced excitation. The comparison performances of diverse systems at different times are conducted to illustrate the effects of the wear on systems responses. This model provides a better understanding for the performance evolution of rotor systems during the service period. Additionally, this model is also applicable for system fault diagnosis and health monitoring.
DOI: 10.1016/0043-1648(91)90189-2
发表时间: 1991-07
期刊: Wear
影响因子: 5
作者:
Wu Chengwei;Zheng Linqing
通讯作者: Wu Chengwei;Zheng Linqing
DOI: 10.1177/1464419320923540
发表时间: 2020-05
期刊: Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-Body Dynamics
影响因子: --
作者:
Pingping Hou;Liqin Wang;Qiuyang Peng
通讯作者: Qiuyang Peng
DOI: 10.1023/b:nody.0000042916.10351.ff
发表时间: 2004-07-01
期刊: NONLINEAR DYNAMICS
影响因子: 5.6
作者:
Harsha, SP;Sandeep, K;Prakash, R
通讯作者: Prakash, R
DOI: 10.1016/s0043-1648(97)00076-8
发表时间: 1997-10
期刊: Wear
影响因子: 5
作者:
G. Hagiu;M. Gafiţanu
通讯作者: G. Hagiu;M. Gafiţanu
DOI: 10.1243/1464419jmbd12
发表时间: 2006-09
期刊: Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics
影响因子: --
作者:
R. Lambert;A. Pollard;B. Stone
通讯作者: R. Lambert;A. Pollard;B. Stone