Presentation 2015-12-04
The Technics of predicting error of Semiconductor manufacturing equipment by Operation sounds
Daiki Nakata, Noriyuki Kushiro,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In Semiconductor manufacturing factory, Semiconductor manufacturing equipment is always operated in the long term to improve efficiency of manufacturing and stops manufacturing line. Operating of equipment in the long term causes wearing error for the parts of equipment correctly. To avoid this risk, in the factory, they maintain the equipment. However, it is difficult to predict when the equipment will break down and the timing of maintenance is not optimal. In this paper, we use the operating sounds as the factor of diagnosis because operation sounds can catch the sign of error and can be acquired simply as data. We develop the systems to predict error without stopping the equipment by test data and the data of the fields.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Error / Predict / Diagnosis / Semiconductor Manufacturing Equipment / Vacuum Pump / Operation Sounds
Paper # AI2015-23
Date of Issue 2015-11-27 (AI)

Conference Information
Committee AI
Conference Date 2015/12/4(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyutech-Salite
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Toshiharu Sugawara(Waseda Univ.)
Vice Chair Tsunenori Mine(Kyushu Univ.) / Daisuke Katagami(Tokyo Polytechnic Univ.)
Secretary Tsunenori Mine(Ritsumeikan Univ.) / Daisuke Katagami(Shizuoka Univ.)
Assistant Yuichi Sei(Univ. of Electro-Comm.)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The Technics of predicting error of Semiconductor manufacturing equipment by Operation sounds
Sub Title (in English)
Keyword(1) Error
Keyword(2) Predict
Keyword(3) Diagnosis
Keyword(4) Semiconductor Manufacturing Equipment
Keyword(5) Vacuum Pump
Keyword(6) Operation Sounds
1st Author's Name Daiki Nakata
1st Author's Affiliation Kyushu Institute of technlogy(Kyutech)
2nd Author's Name Noriyuki Kushiro
2nd Author's Affiliation Kyushu Institute of technlogy(Kyutech)
Date 2015-12-04
Paper # AI2015-23
Volume (vol) vol.115
Number (no) AI-337
Page pp.pp.61-66(AI),
#Pages 6
Date of Issue 2015-11-27 (AI)