Method and system for material degradation detection in an object by analyzing acoustic vibration data

• Main Authors: STRAUSS DANIEL, HERRN ESPIN, DOUGLAS, SCHUETZE, ANDREAS, DR.. GRIEBSCH, JUERGEN, DR. SEELECKE, STEFAN, DR.. RUDOLPH, JOACHIM, DR. DIEBELS, STEFAN
• Format: Patent
• Language: English; French; German
• Published: 21.08.2013
• Subjects: EARTH DRILLING; EARTH DRILLING, e.g. DEEP DRILLING; FIXED CONSTRUCTIONS; MINING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS

The invention claims a method and a system for material degradation detection in an object (11, 12) of said material by analyzing acoustic vibration data (VD) from said object (11, 12). The method comprises the following steps: - training (100) a supervised learning machine (5) to recognize said acoustic vibration data (VD) without material degradation by extraction of at least one time-frequency feature (FF) of said acoustic vibration data (VD), - detecting (101) said acoustic vibration data (VD) from said object (11), - converting (102) said acoustic vibration data (VD) to a time-frequency domain representation (FR), - extracting (105) at least one time-frequency feature (FF) of the time-frequency representation (FR) which is characteristic for said material degradation and - detecting (106) by the learning machine (5) if the value of the extracted at least one time-frequency feature (FF) of the time-frequency domain representation (FR) is novel compared to the value of the time-frequency feature (FF) of the training. The invention provides the advantage of robust material degradation detection under severe environmental conditions. With the method or system corrosion of down-hole pipes can be detected exactly and robustly.