Detection of gear tooth pitting using instrumental variable autoregressive modelling

机译：使用仪器可变自回归建模检测齿轮齿蚀

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Studies in the past have shown that the autoregressive (AR) modelling method is effective in the detection of gear tooth cracking. This paper presents a technique for the detection of gear tooth pitting using the instrumental variable autoregressive (IVAR) modelling method. Examples of applying the technique to the rig test data and in-flight helicopter gearbox vibration data are presented. The results show that the IVAR modelling method can be used effectively and is a viable supplement to the traditional residual signal method in the detection of gear tooth pitting.

机译：过去的研究表明，自回归（AR）建模方法在检测齿轮齿裂化方面是有效的。本文介绍了一种使用仪器可变自回归（IVAR）建模方法检测齿轮齿蚀的技术。提出了将技术应用于钻机测试数据和飞行中的直升机齿轮箱振动数据的示例。结果表明，IVAR建模方法可以有效地使用，并且是传统残留信号方法的可行补充，检测齿轮齿蚀。

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《Meeting of the Society for Machinery Failure Prevention Technology》|2002年||共7页
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Wenyi Wang;
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中图分类 TH17-53;
关键词
AR modelling; Fault detection; Gear fault; Instrumental variable; Helicopter transmission; Pitting;

机译：AR造型;故障检测;齿轮故障;仪器变量;直升机变速器;点燃;

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1. Enhancement of autoregressive model based gear tooth fault detection technique by the use of minimum entropy deconvolution filter [J] . H. Endo, R. B. Randall Mechanical systems and signal processing . 2007,第2期

机译：通过使用最小熵反卷积滤波器增强基于自回归模型的齿轮故障检测技术
2. Enhancement of autoregressive model based gear tooth fault detection technique by the use of minimum entropy deconvolution filter [J] . H. Endo, R.B. Randall Mechanical systems and signal processing . 2007,第2期

机译：通过使用最小熵反卷积滤波器增强基于自回归模型的齿轮故障检测技术
3. Nonnested Testing for Competing Autoregressive Dynamic Models Estimated by Instrumental Variables [J] . EFIGENIO REBELO, PATRICIA OOM DO VALLE, RUI NUNES Communications in Statistics . 2012,第19a21期

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4. Detection of gear tooth pitting using instrumental variable autoregressive modelling [C] . Wenyi Wang Meeting of the Society for Machinery Failure Prevention Technology . 2002

机译：使用仪器可变自回归建模检测齿轮齿蚀
5. Influence of Tip Modification, Tooth Surface Pits, and Spacing Errors on Performance of Gear Systems [D] . Mohammad Abdul, Wasiq Abrar. 2018

机译：尖端改性，齿面凹坑和间距误差对齿轮系统性能的影响
6. Model-Implied Instrumental Variable - Generalized Method of Moments (MIIV-GMM) Estimators for Latent Variable Models [O] . Kenneth A. Bollen, Stanislav Kolenikov, Shawn Bauldry -1

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7. Instrumental Variable Quantile Estimation of Spatial Autoregressive Models [O] . Zhenlin Yang, Liangjun Su 100

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8. Gear Fault Detection Effectiveness as Applied to Tooth Surface Pitting Fatigue Damage [R] . Lewicki, D. G., Dempsey, P. J., Heath, G. F., 2009

机译：齿面故障检测效果在齿面点蚀疲劳损伤中的应用

Detection of gear tooth pitting using instrumental variable autoregressive modelling

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