Signal processing for ultrasonic non-destructive evaluation: two applications

The quality control in industrial plants using ultrasonic non-destructive methods is an emerging field for signal processing applications. In this paper we present a general purpose prototype for non-destructive evaluation of materials by means of ultrasonics. The basic prototype could be used in different applications, changing only the signal processing software. In this paper we will show the flexibility of our equipment by means of two different applications: the detection of microcracks in wet ceramic (tiles) and the evaluation of the moisture in cheeses. We describe the necessary signal processing for each application and the results obtained.

[1]  E. Jakeman,et al.  A model for non-Rayleigh sea echo , 1976 .

[2]  J.M. Reid,et al.  Use of non-Rayleigh statistics for the identification of tumors in ultrasonic B-scans of the breast , 1993, IEEE Trans. Medical Imaging.

[3]  L. Vergara,et al.  A detection scheme for Gaussian envelope pulses over k-noise by means of the Wigner-Ville transform , 1996, Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96).

[4]  Boualem Boashash,et al.  An efficient real-time implementation of the Wigner-Ville distribution , 1987, IEEE Trans. Acoust. Speech Signal Process..

[5]  M. Rodriguez,et al.  Real-time prototype for microcracks detection on ceramic materials , 1996, Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96).

[6]  R. S. Raghavan,et al.  A method for estimating parameters of K-distributed clutter , 1991 .

[7]  E. Jakeman.  On the statistics of K-distributed noise , 1980 .

[8]  H. Vincent Poor,et al.  An Introduction to Signal Detection and Estimation , 1994, Springer Texts in Electrical Engineering.

[9]  José Manuel Páez-Borrallo,et al.  Backscattering grain noise modelling in ultrasonic non-destructive testing , 1991 .