Titlebook: Signal Processing and Pattern Recognition in Nondestructive Evaluation of Materials; C. H. Chen Conference proceedings 1988 Springer-Verla

边缘

endure

High Resolution Deconvolution of Ultrasonic Tracesand localization of flaws, it is frequently desirable to enhance the resolution of the raw B-scan data. In this report we describe the principles and performance of procedures for improving the temporal resolution of the data. The methods are one-dimensional and are applied to successive traces (A-s

CHYME

Non-Destructive Evaluation in the Time-Frequency Domain by Means of the Wigner-Ville Distributionxed tools which consider time and frequency simultaneously. Among different possible approaches, it is justified that time-frequency distributions related to the Wigner-Ville transform are of special interest. A concrete example, stemming from an underwater acoustics experiment, is provided for supp

PLIC

Pulse Shaping and Extraction of Information from Ultrasonic Reflections in Composite Materialsher the transmitted waves as appear on the other side of the material, or the reflected waves which return back to the first side. Information about the state of the material is obtained by analyzing the received waves for global acoustic properties as well as local properties that may result from a

jeopardize

遭遇

溺爱

High Resolution Spectral Analysis NDE Techniques for Flaw Characterization, Prediction and Discrimin modern spectral analysis and digital pattern recognition. The modern high resolution spectral analysis and related signal processing and pattern recognition techniques have demonstrated that the ultrasonic spectroscopy as pioneered by Otto Gericke can indeed solve many NDE problems which were previ

Blatant

Automated Ultrasonic System for Submarine Pressure Hull Inspectionystem that incorporated artificial intelligence signal interpretation and data logging capabilities in a workstation configuration that could be used by field inspectors. The system is described and same preliminary results of the use of the artificial intelligence system for signal classification a

低三下四之人

labile

Knowledge Based Systems in Nondestructive Evaluation(a)on Assistant (SIIA) is used as an illustrative example [1]. SIIA is a prototype knowledge based system designed to assist in making the operation of the Synthetic Aperture Focusing Technique (SAFT) Ultrasonic Inspection System more reliable and efficient [2].