Title :
A Bayesian Approach to Automated Optical Inspection for Solder Jet Ball Joint Defects in the Head Gimbal Assembly Process
Author :
Chee Wai Mak ; Afzulpurkar, Nitin V. ; Dailey, Matthew N. ; Saram, Philip B.
Author_Institution :
Sch. of Eng. & Technol., Asian Inst. of Technol., Pathumthani, Thailand
Abstract :
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.
Keywords :
Bayes methods; assembling; factory automation; hard discs; inspection; productivity; solders; AOI; Bayesian approach; HDD industry; TAN-BN; automated optical inspection; check classifier; hard disk drive industry; head gimbal assembly process; productivity problems; selective automation; solder jet ball joint defects; tree augmented naive Bayes network; Accuracy; Bayes methods; Feature extraction; Hard disks; Inspection; Soldering; Automated optical inspection (AOI); Bayesian networks; Peter–Clark Bayesian network (PC-BN); solder-joint defect; solder-joint inspection; tree-augmented Naïve Bayesian network (TAN-BN);
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
DOI :
10.1109/TASE.2014.2305654
