CRACK-PROPAGATION PREDICTION METHOD AND PROGRAM

Patent №

US 8,109,150

Granted

2012-02-07

Filed 2009

Owner

MITSUBISHI HEAVY INDUSTREIS, LTD.

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12530394

The precision of crack-propagation prediction is improved by taking into consideration a variation in the error due to inspectors and inspection methods. There is provided a crack-propagation prediction method including a correlation-information preparing step of measuring the length of a crack initiated in a test object by a plurality of inspectors and/or a plurality of inspection methods and obtaining correlation information between data acquired through the measurement and the condition of an actual crack; a crack-length estimating step of estimating the actual length of the crack initiated in an inspection target on the basis of the crack length measured by an inspector during inspection of the inspection target and the correlation information; and a crack-propagation-curve estimating step of estimating a crack-propagation curve of the inspection target originating from the crack length estimated in the crack-length estimating step.

PlanningG01N 3/00G01M 5/0016G01M 5/0033G01N 2203/0062G01N 2203/0064G01N 2203/0066G01N 2203/0218

AI classification

Planning0.52
AI hardware0.03
Machine learning0.01
Natural language0.01
Evolutionary computation0.00
Knowledge representation0.00
Speech0.00
Vision0.00

Ownership

MITSUBISHI HEAVY INDUSTREIS, LTD.

assignment · 232350608

Assignors

SATO, YOICHI, MORIMURA, KOICHI, HORI, SHINICHIRO, KUMANO, SHINTARO, KARATO, TAKANORI, KURITA, MASATO

On an employer assignment, the assignors are typically the inventors.

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