Series of diagnostic indicators of gearbox teeth wear in aircraft gas turbine engines

A. Y. Sundukov, Ye. V. Shakhmatov
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Abstract

Aircraft gas turbine engine gearboxes are intended for providing optimum rotational speeds for propellers and fans. Wear of the tooth flanks is their key and most dangerous defect. The defect generates vibrations leading to fatigue failure of engine components. Vibration-based diagnostics is the most effective tool of non-destructive testing of the technical condition of rotating machines. This review of the known diagnostic indicators of the defect in question shows the need for its significant expansion. Previously performed researches made it possible to suggest a series of diagnostic indicators of tooth wear for the sun gear satellites couple in the differential reducer of a gas turbine engine. It is shown that the mathematical models of the dependence of the levels of diagnostic indicators on the wear value have both linear and power form. It was found that diagnostic indicators described by power dependences are the closest ones to the model of wear development. It is noted that when selecting diagnostic indicators for operating conditions, the optimal ones should be recognized as those based on the parameters of the current frequency.
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航空燃气涡轮发动机齿轮箱齿磨损诊断指标系列
飞机燃气涡轮发动机齿轮箱旨在为螺旋桨和风扇提供最佳转速。齿侧磨损是其主要缺陷,也是最危险的缺陷。该缺陷产生振动,导致发动机部件疲劳失效。基于振动的诊断是旋转机械技术状况无损检测最有效的工具。对所讨论的缺陷的已知诊断指标的审查表明需要对其进行重大扩展。前人的研究为燃气涡轮发动机差动减速器太阳齿轮卫星偶齿磨损诊断指标的提出提供了可能。结果表明,诊断指标水平对磨损值依赖关系的数学模型具有线性和幂函数两种形式。研究发现,功率依赖描述的诊断指标最接近磨损发展模型。需要注意的是,在选择运行工况诊断指标时,应根据当前频率的参数来识别最优指标。
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