A Bayesian Approach to Automated Optical Inspection for Solder Jet Ball Joint Defects in the Head Gimbal Assembly Process

A Bayesian Approach to Automated Optical Inspection for Solder Jet Ball Joint Defects in the Head Gimbal Assembly Process

Automation or selective automation is adopted as a solution to most productivity problems in the hard disk drive (HDD) industry as the industry continues to grow at a 40% compounded annual growth rate. An automated production line for manufacturing the head gimbal assembly (HGA) has been developed a...

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Bibliographic Details
Published in:IEEE transactions on automation science and engineering Vol. 11; no. 4; pp. 1155 - 1162
Main Authors: Chee Wai Mak, Afzulpurkar, Nitin V., Dailey, Matthew N., Saram, Philip B.
Format: Journal Article
Language:English
Published: New York IEEE 01-10-2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Accuracy
Assembly
Assembly lines
Automated
Automated optical inspection (AOI)
Automation
Bayes methods
Bayesian analysis
Bayesian networks
Feature extraction
Gimbals
Hard disks
Inspection
Inspections
Peter-Clark Bayesian network (PC-BN)
Production lines
Software
solder-joint defect
solder-joint inspection
Soldering
Solders
tree-augmented Naïve Bayesian network (TAN-BN)
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Summary:Automation or selective automation is adopted as a solution to most productivity problems in the hard disk drive (HDD) industry as the industry continues to grow at a 40% compounded annual growth rate. An automated production line for manufacturing the head gimbal assembly (HGA) has been developed as part of the automation solution. In the automated HGA production line, a solder jet ball (SJB) soldering station connects the suspension circuit to the slider body. We propose a Bayesian approach to automated optical inspection (AOI) of the SJB joint in the HGA process, implementing Tree Augmented Naïve Bayes Network (TAN-BN) plus check classifier in-situ using GeNIe/SMILE within the inspection software. The system is further enhanced with a result checker, achieving an overall accuracy of 91.52% with 660 production parts in a blind test.
Bibliography:ObjectType-Article-1
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content type line 23
ISSN:1545-5955
1558-3783
DOI:10.1109/TASE.2014.2305654