Diagnostics of the technical condition and predic-tion of accident-free guaranteed operating time of heavily loaded machines gear wheels

Anatoliy Gaydamaka, Yuri Muzykin, Volodymyr Klitnoi
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Abstract

Problem. This article highlights the current state of diagnostics of gears on the level of accumulated fatigue damage in operation. The generalization of the known information on determination of a technical condition of separate gear wheels, especially with big modules (m> 20 mm), allows to outline prospects of development of such diagnostics of a technical condition of gear wheels directly in the course of operation. Goal. The goal of this study is to develop an algorithm for diagnosing the technical condition and forecasting a fault-free operation of the gears of heavy-duty machines. Methodology. The least squares method and the confidence interval method are used to predict accident-free guaranteed gear operation. Results. A procedure for diagnosing the technical condition of gears by measuring the hardness of the metal has been developed, which includes five main stages: selection of the device; choice of measurement scheme; selection of the number of measurements, number and relative position of measuring points; development of a design of a template for measurements; development of a device for fastening templates. When determining the accident-free guaranteed operating time on the basis of several criteria of the limit state, the final decision is made on the criterion that determines the minimum term. Originality. The method of forecasting accident-free guaranteed operating time of gears is chosen taking into account the stages of running-in and stable in linear function accumulation of damage in operation. Practical value. The use of the developed procedure for diagnosing the technical condition of the gears of gearboxes of heavy-duty machines will significantly increase the efficiency of their operation due to the transition from scheduled preventive maintenance to maintenance according to the actual technical condition.
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重载机械齿轮技术状态诊断及无事故保证运行时间预测
问题。本文着重介绍了齿轮在运行过程中累积疲劳损伤水平的诊断现状。将已知的确定单独齿轮技术状况的信息,特别是大模块(m> 20 mm)的信息进行概括,可以勾勒出直接在运行过程中诊断齿轮技术状况的发展前景。的目标。本研究的目的是开发一种用于重型机械齿轮技术状态诊断和无故障运行预测的算法。方法。采用最小二乘法和置信区间法对无事故保证齿轮运行进行预测。结果。本文提出了一种通过测量金属硬度来诊断齿轮技术状况的方法,该方法主要包括五个阶段:装置的选择;测量方案的选择;测量次数、测点数量和相对位置的选择;开发一种测量模板的设计;一种固定模板装置的研制。在根据极限状态的几个准则确定无事故保证运行时间时,最终确定确定最小期限的准则。创意。选择了考虑磨合阶段和运行中损伤累积线性函数稳定阶段的齿轮无事故保证运行时间预测方法。实用价值。采用所开发的重型机械齿轮箱齿轮技术状况诊断程序,由定期预防性维修转变为按实际技术状况维修,将大大提高重型机械齿轮箱的运行效率。
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