METHOD AND APPARATUS FOR IN-PROCESS SENSING OF MANUFACTURING QUALITY

Patent №

US 6,857,553

Granted

2005-02-22

Filed 2003

Owner

ENERGY, U.S. DEPARTMENT OF

Lab

AI components

4

ml · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10365416

A method for determining the quality of an examined weld joint comprising the steps of providing acoustical data from the examined weld joint, and performing a neural network operation on the acoustical data determine the quality of the examined weld joint produced by a friction weld process. The neural network may be trained by the steps of providing acoustical data and observable data from at least one test weld joint, and training the neural network based on the acoustical data and observable data to form a trained neural network so that the trained neural network is capable of determining the quality of a examined weld joint based on acoustical data from the examined weld joint. In addition, an apparatus having a housing, acoustical sensors mounted therein, and means for mounting the housing on a friction weld device so that the acoustical sensors do not contact the weld joint. The apparatus may sample the acoustical data necessary for the neural network to determine the quality of a weld joint.

Machine learningVisionPlanningAI hardwareG01N 29/4481B23K 20/121B23K 20/123B23K 31/125G01N 29/46G01N 2291/267

AI classification

Machine learning1.00
AI hardware1.00
Vision1.00
Planning0.83
Knowledge representation0.24
Speech0.03
Natural language0.01
Evolutionary computation0.00

Ownership

ENERGY, U.S. DEPARTMENT OF

assignment · 141550822

Assignors

HARTMAN, DANIEL A., DAVE, VIVEK R., COLA, MARK J., CARPENTER, ROBERT W.

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

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