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Damage detection using time-frequency decay-rate based features

机译:使用基于时频衰减率的特征损坏检测

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Some automotive components, for instance a clutch housing, need to fit the assembly (dimensional constraint), and must be perfectly weight balanced for proper functioning (functional fidelity), which could be achieved by removing material from the body (relaxed geometry). While such mission critical components require 100% inspection, current non-destructive methods are often inadequate, trying to trade-off cycle time with inspection thoroughness. In this paper, a non-destructive global structural damage detection method has been demonstrated at its infancy, to be fast, accurate, and immune to inconsistent resonant frequencies which is an outcome of relaxed geometry. This method requires a traditional wide band exogenous acoustic excitation of the component being evaluated, followed by a joint time-frequency characterization of the response such that it is immune to dominant modal frequencies. A quadratic discriminant analysis on the time-frequency features successfully detected all damaged samples and falsely identified 1 among the 6 healthy samples available for testing, as damaged.
机译:一些汽车部件,例如离合器壳体,需要适合组件(尺寸约束),并且必须完全重写,以便适当的功能(功能待遇),这可以通过从主体(松弛几何形状)中除去材料来实现。虽然这种任务关键组件需要100 %检查,但目前的非破坏性方法通常不足,试图在彻底接受检查循环时间。在本文中,已经在其初期证明了非破坏性的全局结构损伤检测方法,以快速,准确,免疫,不一致,谐振频率是不一致的几何形状的结果。该方法需要传统的宽带外源性声学激发被评估的组分,然后是响应的关节时频表征,使得它对主要模态频率免疫。对时频特征的二次判别分析成功地检测到所有损坏的样品,并在可用于测试的6个健康样品中错误识别1,因为损坏。

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