Prognostics of gear manufacturing errors for planetary gear systems based on power flow theory

IF 1.9 4区 工程技术 Q2 ACOUSTICS
Zhaobin Zhan, Hui Liu, B. Feeny, Z. Wang, Yunkun Xie
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引用次数: 2

Abstract

Gear manufacturing errors are key parameters in planetary gear trains, which have effects on the load sharing, tooth stress and so on. Accurate estimation of manufacturing errors can help monitoring the conditions of planetary gear system. This study investigates the dynamic response sensitivity to model parameters for a nonlinear single-stage planetary gear set with coupled lateral and torsional motions. Power flow theory is introduced to assess the gear vibration and the parameter sensitivity. The response sensitivity equations are deduced with the direct method (DM). The influence of the rotating speed is considered in the sensitivity analysis. Then, the identifiability of the parameter estimation is investigated based on the sensitivity results. The Gauss-Newton method is applied to estimate the manufacturing errors. Gear meshing is a primary factor in gear vibration, so the sensitivities of its vibration power to the parameters are analysed in this paper. The estimated results are accurate when the collected data contain lower noise signal. The sensitivity and parameter estimation make it possible to provide support for the design and diagnosis of a planetary gear set.
基于功率流理论的行星齿轮系统制造误差预测
齿轮加工误差是行星轮系的关键参数,它对轮系的载荷分担、齿面应力等都有影响。准确估计制造误差有助于监测行星齿轮系统的工作状态。研究了具有侧向和扭转耦合运动的非线性单级行星齿轮组对模型参数的动态响应敏感性。采用功率流理论对齿轮振动和参数灵敏度进行了评估。采用直接法推导了响应灵敏度方程。在灵敏度分析中考虑了转速的影响。然后,根据灵敏度结果研究了参数估计的可辨识性。采用高斯-牛顿法对加工误差进行估计。齿轮啮合是影响齿轮振动的主要因素,本文分析了齿轮啮合振动功率对各参数的敏感性。当采集到的数据中含有较低的噪声信号时,估计结果是准确的。灵敏度和参数估计为行星齿轮组的设计和诊断提供了依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.20
自引率
11.80%
发文量
79
审稿时长
7 months
期刊介绍: The Journal of Vibration and Acoustics is sponsored jointly by the Design Engineering and the Noise Control and Acoustics Divisions of ASME. The Journal is the premier international venue for publication of original research concerning mechanical vibration and sound. Our mission is to serve researchers and practitioners who seek cutting-edge theories and computational and experimental methods that advance these fields. Our published studies reveal how mechanical vibration and sound impact the design and performance of engineered devices and structures and how to control their negative influences. Vibration of continuous and discrete dynamical systems; Linear and nonlinear vibrations; Random vibrations; Wave propagation; Modal analysis; Mechanical signature analysis; Structural dynamics and control; Vibration energy harvesting; Vibration suppression; Vibration isolation; Passive and active damping; Machinery dynamics; Rotor dynamics; Acoustic emission; Noise control; Machinery noise; Structural acoustics; Fluid-structure interaction; Aeroelasticity; Flow-induced vibration and noise.
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