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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| Veröffentlicht in: | IEEE transactions on automation science and engineering 2014-10, Vol.11 (4), p.1155-1162 |
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| container_title | IEEE transactions on automation science and engineering |
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| creator | Chee Wai Mak Afzulpurkar, Nitin V. Dailey, Matthew N. Saram, Philip B. |
| description | 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. |
| doi_str_mv | 10.1109/TASE.2014.2305654 |
| format | Article |
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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. 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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.</description><subject>Accuracy</subject><subject>Assembly</subject><subject>Assembly lines</subject><subject>Automated</subject><subject>Automated optical inspection (AOI)</subject><subject>Automation</subject><subject>Bayes methods</subject><subject>Bayesian analysis</subject><subject>Bayesian networks</subject><subject>Feature extraction</subject><subject>Gimbals</subject><subject>Hard disks</subject><subject>Inspection</subject><subject>Inspections</subject><subject>Peter-Clark Bayesian network (PC-BN)</subject><subject>Production lines</subject><subject>Software</subject><subject>solder-joint defect</subject><subject>solder-joint inspection</subject><subject>Soldering</subject><subject>Solders</subject><subject>tree-augmented Naïve Bayesian network (TAN-BN)</subject><issn>1545-5955</issn><issn>1558-3783</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkUlLxTAUhYsoOP4AcRNw46bPzG2XdVYEBXVdkvQGI21Tk7zF-_emPHHh5g7wncO9nKI4JXhFCG4u39u32xXFhK8ow0IKvlMcECHqklU1211mLkrRCLFfHMb4hTHldYMPik2LrtQGolMTauc5eGU-UfKoXSc_qgQ9epmTM2pAj1OcwSTnJ2R9QG9-6CGgJ0jZYBjQk3dTQjdgMxORm1D6BPQAqkf3btRZ38YIox426DV4AzEeF3tWDRFOfvtR8XF3-379UD6_3D9et8-l4VKmsrc1I9pSqUFjRpWShlOSd2WNbHCvjYWKU61rKjTWjJCe1joXRQS2dc2Oioutb37uew0xdaOLBoZBTeDXsSOSNkxiXMmMnv9Dv_w6TPm6TBFeMc7kQpEtZYKPMYDt5uBGFTYdwd0SRreE0S1hdL9hZM3ZVuMA4I-XlcCEEvYD33mFUg</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Chee Wai Mak</creator><creator>Afzulpurkar, Nitin V.</creator><creator>Dailey, Matthew N.</creator><creator>Saram, Philip B.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| ispartof | IEEE transactions on automation science and engineering, 2014-10, Vol.11 (4), p.1155-1162 |
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| source | IEEE Electronic Library (IEL) |
| 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) |
| title | A Bayesian Approach to Automated Optical Inspection for Solder Jet Ball Joint Defects in the Head Gimbal Assembly Process |
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