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Vibration-Based Condition Monitoring of Helicopter Gearboxes Based on Cyclostationary Analysis

机译:基于循环平稳分析的基于振动的直升机齿轮箱状态监测

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The core of a helicopter drivetrain is a complex planetary main gearbox (MGB), which reduces the high input speed generated by the engines in order to provide the appropriate torque to the main rotors and to other auxiliary systems. The gearbox consists of various shafts, planetary gears, and bearings, and operates under varying conditions under excessive friction, heat, and high mechanical forces. The components are vulnerable to fatigue defects and therefore health and usage monitoring systems (HUMS) have been developed in order to monitor the health condition of the gearbox, focusing toward early, accurate, and on-time fault detection with limited false alarms and missed detections. The main aim of a HUMS is by health monitoring to enhance the helicopters' operational reliability, to support the maintenance decision-making, and to reduce the overall maintenance costs. The importance and the need for more advanced and accurate HUMS have been emphasized recently by the postaccident analysis of the helicopter LN-OJF, which crashed in Norway in 2016. During the last few decades, various methodologies and diagnostic indicators/features have been proposed for the monitoring of rotating machinery operating under steady conditions but still there is no global solution for complex structures. A new tool called improved envelope spectrum via feature optimization-gram (IESFOgram) has been recently proposed by the authors, based on cyclostationary analysis, focusing on the accurate selection of a filtering band, under steady and varying speed conditions. Moreover, the cyclic spectral coherence (CSCoh) is integrated along the selected frequency band leading to an improved envelope spectrum (IES). In this paper, the performance of the tool is tested on a complex planetary gearbox, with several vibration sources. The method is tested, evaluated, and compared to state-of-the-art methods on a dataset captured during experimental tests under various operating conditions on a Category A Super Puma SA330 main planetary gearbox, presenting seeded bearing defects of different sizes.
机译:直升机传动系统的核心是一个复杂的行星主变速箱(MGB),它降低了发动机产生的高输入速度,以便为主旋翼和其他辅助系统提供适当的扭矩。变速箱由各种轴,行星齿轮和轴承组成,并在过大的摩擦,热量和高机械力的条件下运行。这些组件易受疲劳缺陷的影响,因此已经开发了健康和使用情况监视系统(HUMS)来监视变速箱的健康状况,重点在于早期,准确和及时的故障检测,并减少误报和漏检。 。 HUMS的主要目的是通过健康监控来提高直升机的运行可靠性,支持维护决策并降低总体维护成本。最近对2016年在挪威坠毁的LN-OJF直升机的事后分析强调了对更先进,更准确的HUMS的重要性和必要性。在过去的几十年中,已经提出了各种方法和诊断指标/功能用于监测旋转机械在稳定条件下的运行,但是对于复杂结构仍然没有全局解决方案。作者最近基于循环平稳分析提出了一种新的工具,称为通过特征优化图改进的包络谱(IESFOgram),该工具着眼于在稳定和可变速度条件下准确选择滤波频带。此外,沿所选频带积分了循环频谱相干性(CSCoh),从而改善了包络频谱(IES)。在本文中,该工具的性能在具有多个振动源的复杂行星齿轮箱上进行了测试。在A类Super Puma SA330主行星齿轮箱的各种操作条件下,通过各种实验条件在实验测试中获得的数据集上,对该方法进行了测试,评估并与最新方法进行了比较,结果显示出不同尺寸的轴承缺陷。

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  • 来源
    《Journal of Engineering for Gas Turbines and Power》 |2020年第3期|031010.1-031010.7|共7页
  • 作者单位

    Department ot Mechanical Engineering KU Leuven Dynamics of Mechanical and Mechatronic Systems Flanders Make Box 2420 Celestijnenlaan 300 Leuven 3001 Belgium;

    School of Engineering London South Bank University 103 Borough Road London SE1 OAA UK;

    Faculty of Technology De Montfort University Leicester LE1 9BH UK;

    Department of Mechanical Engineering KU Leuven Dynamics of Mechanical and Mechatronic Systems Flanders Make Box 2420 Celestijnenlaan 300 Leuven 3001 Belgium;

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