Quantitative analysis of pit defects in an automobile engine cylinder cavity using the radial basis function neural network–genetic algorithm model

In the automotive remanufacturing movement, the inspection of the corrosion defects on the engine cylinder cavity is a key and difficult problem. In this article, based on the ultrasonic phased array technology and the radial basis function neural network–genetic algorithm model, a new quantitative...

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Veröffentlicht in:	Structural health monitoring 2017-11, Vol.16 (6), p.696-710
Hauptverfasser:	Yang, Xiaoxia, Xue, Bin, Jia, Lecheng, Zhang, Hao
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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