A Classification Algorithm and Optimal Feature Selection Methodology for Automated Solder Joint Defect Inspection

Olagunju Oyeleye, E. Amine Lehtihet

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

A classification algorithm and optimal feature selection methodology are developed for implementation on an automated solder defect inspection system. Computer-generated three-dimensional geometric models of solder joint defects are used to train the system and simulate defect classification. System performance is assessed through simulation and is shown to be successful at classification of dominant solder defects, including simultaneously occurring defects and overlapping defect classes.

Original languageEnglish (US)
Pages (from-to)251-262
Number of pages12
JournalJournal of Manufacturing Systems
Volume17
Issue number4
DOIs
StatePublished - Jan 1 1998

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Hardware and Architecture
  • Industrial and Manufacturing Engineering

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