Eddy current technique for predicting burst pressure

US6519535B1 · kind B1 · utility

Assignee

• THE UNIVERSITY OF CHICAGO · US

Inventors

• Mark C. Petri · Yorkville, US
• David S. Kupperman · Oak Park, US
• James A. Morman · Woodridge, US
• Jaques Reifman · Lisle, US
• Thomas Weiß · Ilvesheim, DE

Key dates

• Filing date: Jun 5, 2000
• Grant date: Feb 11, 2003
• Expiry date: Nov 19, 2020

Classification

• Technology area (CPC G): Physics
• CPC primary: G01N27/9046
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

A signal processing technique which correlates eddy current inspection data from a tube having a critical tubing defect with a range of predicted burst pressures for the tube is provided. The method can directly correlate the raw eddy current inspection data representing the critical tubing defect with the range of burst pressures using a regression technique, preferably an artificial neural network. Alternatively, the technique deconvolves the raw eddy current inspection data into a set of undistorted signals, each of which represents a separate defect of the tube. The undistorted defect signal which represents the critical tubing defect is related to a range of burst pressures utilizing a regression technique.