Gaussian mixture model and delay-and-sum based 4D imaging of damage in aircraft composite structures under time-varying conditions

• Published in: Mechanical systems and signal processing Vol. 135; p. 106390
• Main Authors: Ren, Yuanqiang, Qiu, Lei, Yuan, Shenfang, Fang, Fang
• Format: Journal Article
• Language: English
• Published: Berlin Elsevier Ltd 01.01.2020; Elsevier BV
• Subjects: 4D imaging; Aircraft; Aircraft composite structure; Aircraft structures; Carbon fibers; Composite structures; Construction; Damage localization; Delay; Fiber composites; Gaussian mixture model; Guided wave; Imaging; Invariants; Localization; Piezoelectricity; Plates (structural members); Probabilistic models; Signal processing; Structural damage; Structural health monitoring; Time-varying conditions; Guided wave; Time-varying conditions; 4D imaging; Gaussian mixture model; Aircraft composite structure
• ISSN: 0888-3270; 1096-1216
• DOI: 10.1016/j.ymssp.2019.106390

•We propose a Gaussian mixture model and delay-and-sum based 4D imaging method.•The time-invariant feature signal can be constructed by adopting GMM.•The 4D imaging can generate a serial of images with damage gradually emerging.•Experimental results prove the proposed method under temperature variat...