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Multi-parameter analysis in eddy current inspection of aircraft engine components

机译:飞机发动机涡流检测中的多参数分析

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摘要

One of the major problems limiting the life of critical aircraft engine components, such as compressor discs and spacers, is the formation of low cycle fatigue (LCF) cracks in the fastener bolt holes. Such cracks are often initiated from corners and their surfaces are oxidized during the engine operation. Eddy current techniques using rotating probes are considered to be the most appropriate for detecting bolt hole cracks. Inspection according to damage tolerance criteria requires repeatable detection (90% probability of detection with 95% confidence) of cracks of the order of 0.125 mm (0.005″). If only threshold setting methods are used by a human analyst or implemented by means of electronic instrumentation, detectability can be low since it is difficult to distinguish between the actual flaw signal and noise in the eddy current signal as both are of similar amplitude. However, in certain cases, searching for structure in the noisy waveform can provide indications of defects that escape detection by threshold setting techniques. One way of achieving this is by using multi-parameter signal analysis and pattern recognition methods.
机译:限制飞机关键发动机组件(例如压缩机盘和垫片)寿命的主要问题之一是在紧固件螺栓孔中形成了低周疲劳(LCF)裂纹。这样的裂纹通常是从角落开始的,并且它们的表面在发动机运行期间被氧化。使用旋转探针的涡流技术被认为是最适合检测螺栓孔裂纹的技术。根据损伤容限标准进行的检查要求可重复检测(90%的检测概率,置信度为95%)0.125毫米(0.005英寸)左右的裂纹。如果只有阈值设置方法由人类分析人员使用或通过电子仪器实现,则可检测性可能会很低,因为很难区分实际缺陷信号和涡流信号中的噪声,因为两者的振幅相似。但是,在某些情况下,在噪声波形中搜索结构可以提供缺陷指示,这些缺陷可以通过阈值设置技术进行检测。实现此目的的一种方法是使用多参数信号分析和模式识别方法。

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