초록

A method and system for analyzing emission signals emanating from a test medium for the purpose of determining characteristics of the test medium. The system and method utilize adaptive neural processing to prognosticate future results, as well as analyzing current test results.

대표청구항 ▼

A neural-like processing method for analyzing acoustic emission signals that emanate from a medium under test, comprising the steps of: (a) obtaining acoustic emission signals emanating from a medium under test to which a known source signal has been applied; (b) encoding said known source signal wi

A neural-like processing method for analyzing acoustic emission signals that emanate from a medium under test, comprising the steps of: (a) obtaining acoustic emission signals emanating from a medium under test to which a known source signal has been applied; (b) encoding said known source signal with a descriptor characteristic of said known source signal, such as its location with respect to the medium, its strength, and its time function; (c) concatenating said obtained acoustic emission signals to form a series chain of acoustic emission signals defining a pattern vector representative of said medium under test; (d) appending said known source descriptor to said series chain; (e) introducing said pattern vector to a storage medium; (f) repeating steps (a) through (e) a number of times in order to establish a data base characterizing the medium and its response to known source signals; and (g) synthesizing from said data base in said storage medium, characteristics of an unknown source based upon simulated acoustic emissions, or characteristics of acoustic emissions based upon a simulated unknown source.