DETECTION OF GEAR TOOTH PITTING USING INSTRUMENTAL VARIABLE AUTOREGRESSIVE MODELLING

机译：使用仪器变量自动回归模型检测齿轮齿坑

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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）建模方法可有效地检测齿轮裂纹。本文提出了一种使用工具变量自回归（IVAR）建模方法检测齿轮齿蚀的技术。给出了将该技术应用于装备测试数据和飞行中直升机齿轮箱振动数据的示例。结果表明，该方法可以有效地利用IVAR建模方法，是传统的残差信号检测方法在齿轮点蚀检测中的可行补充。

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来源
《The 56th Meeting of the Society for Machinery Failure Prevention Technology, Apr 15-19, 2002, Virginia Beach, Virginia》|2002年|p.367-373|共7页
会议地点 Virginia Beach VA(US)
作者
Wenyi Wang;
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作者单位

Airframes and Engines Division Aeronautical and Maritime Research Laboratory Defence Science and Technology Organisation PO Box 4331, Melbourne, VIC 300, Australia;

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会议组织
原文格式 PDF
正文语种 eng
中图分类一般工业技术;
关键词
AR modelling; fault detection; gear fault; instrumental variable; helicopter transmission; pitting;

机译：AR建模；故障检测；齿轮故障工具变量直升机传动；点蚀;

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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

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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

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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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