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Detection of Rotating Blade Faults from Lateral Vibrations of a Rotor-Disk-Blade System

机译:从转子-叶片-叶片系统的横向振动中检测旋转叶片故障

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摘要

Competition and high quality requirements in the industries have necessitated the need for reliable rotating machines. This can be partly achieved by continuous monitoring of operation conditions to detect any fault before it causes serious problem or breakdown of rotating machines. The detection of faults in rotating blades via direct blade vibration measurements and analysis is somewhat difficult because blades often operate in a very harsh environment (gas turbine blades are rotating in high temperature and pressure environment). This paper presents indirect detection of blade faults from lateral vibrations of a rotor-disk-blade system, which can easily be measured, using laboratory test-rig. A rotor, disk, 6 normal blades and 3 blades with different defects were designed. The modal parameters of the normal and defective blades were determined experimentally and by modal analysis using ANSYS. The lateral vibrations, in the x- and y-axis, of the rotor-disk system with normal 6 blades and with 5 normal blades and 1 defective blade at a time were measured and analyzed. The results revealed that defective blades showed some distinct characteristics in the frequency domain, which can be used to identify blade faults in a bladed rotor-disk system.
机译:工业上的竞争和高品质要求已经需要可靠的旋转机器。这可以通过连续监控运行状况以在故障引起严重问题或旋转机械故障之前检测出任何故障来部分实现。由于叶片通常在非常恶劣的环境中运行(燃气轮机叶片在高温高压环境中旋转),因此通过直接叶片振动测量和分析来检测旋转叶片中的故障有些困难。本文介绍了通过转子-磁盘-叶片系统的横向振动间接检测叶片故障的方法,可以使用实验室试验台轻松地进行测量。设计了转子,磁盘,6个普通叶片和3个具有不同缺陷的叶片。正常叶片和缺陷叶片的模态参数是通过实验确定的,并通过ANSYS进行了模态分析。测量并分析了一次同时具有6个正常叶片,5个正常叶片和1个故障叶片的转子-磁盘系统在x轴和y轴上的横向振动。结果表明,有缺陷的叶片在频域中表现出一些明显的特征,可用于识别叶片式转子-磁盘系统中的叶片故障。

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