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Industrial DigitizationÀ» À§ÇÑ PHM Practice - Case
Study |
ÀÏ ½Ã |
2020³â 1¿ù 15ÀÏ(¼ö) ~ 17ÀÏ(±Ý) |
Àå ¼Ò |
¼¿ï´ëÇб³
Â÷¼¼´ëÀÚµ¿Â÷¿¬±¸¼¾ÅÍ ¼¼¹Ì³ª½Ç |
ÁÖ ÃÖ |
Çѱ¹PHMÇÐȸ |
¸ñ Àû |
±â¾÷, ¿¬±¸¼Ò ¹× ´ëÇÐ ¼®¹Ú»ç±Þ ¿¬±¸¿øÀ» ´ë»óÀ¸·Î ¼¾¼½ÅÈ£¸¦ ±â¹ÝÀ¸·Î ÇÑ °ÇÀü¼º Áø´Ü ¹× ¿¹Áö∙º¸Àü±â¼úÀÇ ½ÇÀü Áö½ÄÀ» »ç·Ê Áß½ÉÀ¸·Î ´Ü±â°£¿¡ ½ÀµæÇÒ
¼ö ÀÖ´Â ±âȸ Á¦°ø |
¢º ÇÁ·Î±×·¥
½Ã °£ |
ÁÖ Á¦ |
ÁÖ¿ä ³»¿ë |
° »ç |
DAY 1 (2020. 1. 15.) |
10:00~13:00
(180¡¯) |
PHM Core Basic |
- PHM °³¿ä ¹× ¹è°æ
- ½Å·Ú¼º ¹× Åë°èºÐ¼®
- ½ÅÈ£ºÐ¼®, »óźзù, ¼ö¸í ¿¹Ãø °³³ä |
ÃÖÁÖÈ£ ±³¼ö
(Çѱ¹Ç×°ø´ëÇб³) |
13:00~14:00 |
Áß ½Ä |
14:00~17:00
(180¡¯) |
PHM Feature
Extraction:
ȸÀüü Áß½ÉÀ¸·Î |
- ȸÀüü Áø´ÜÀ» À§ÇÑ
½ÅÈ£ºÐ¼® ±âÃÊ (+±âº» ½Ç½À)
- AI ±âº» °³³ä |
ÇÏÁ¾¹® ¹Ú»ç
(Çѱ¹Ç¥ÁØ°úÇבּ¸¿ø) |
DAY 2 (2020. 1. 16.) |
10:00~13:00
(180¡¯) |
Case Study 1:
»ý»ê ½Ã½ºÅÛ |
- PHM ¼öÇà ¹æ¹ý·Ð ¹× ÁÖ¿ä
Àû¿ë ¾Ë°í¸®Áò ¼Ò°³
- »ý»ê½Ã½ºÅÛÀÇ ½º¸¶Æ®È¸¦
À§ÇÑ PHM Àû¿ë ¹× »çÀ̹ö ¹°¸® ½Ã½ºÅÛ ±¸Çö »ç·Ê
- »ý»ê½Ã½ºÅÛ °ü·Ã ¼¾¼
µ¥ÀÌÅ͸¦ È°¿ëÇÑ PHM ¾Ë°í¸®Áò ½Ç½À |
ÀÌ»ó¿ø ±³¼ö
(¼º±Õ°ü´ëÇб³) |
13:00~14:00 |
Áß ½Ä |
14:00~17:00
(180¡¯) |
Case Study 2:
ȸÀüü ½Ã½ºÅÛ |
±â¾î¹Ú½º Áø´Ü ¹æ¹ý·Ð ¹× »ç·Ê
- ¼¾¼ ¹× ½ÅÈ£ Ãëµæ
- µ¥ÀÌÅÍ Àüó¸®
- Áø´Ü ¹æ¹ý·Ð
- ½ÇÁ¦ ±â¾î¹Ú½º PHM »ç·Ê |
À±º´µ¿ ±³¼ö
(¼¿ï´ëÇб³) |
¹ÚÁ¤È£ ¹Ú»ç
(¿øÇÁ·¹µñÆ®) |
DAY 3 (2020. 1. 17.) |
09:00~11:00
(120¡¯) |
Case Study 3:
¸¶¸ð ¹× ÆÄ¼Õ |
- ¸¶¸ð ¹× ÆļÕÀÇ °³¿ä
- ¼¾¼ÀÇ ¼±Á¤
- °áÇÔÁø´Ü ºÐ¼®
- ½Å·Ú¼º ¹× Ç°Áú»êÆ÷/ºÒÈ®½Ç¼º
- Àû¿ë»ç·Ê: ¿£Áø¹ëºê, ºê·¹ÀÌÅ©, Â÷·ûÈÙ, º£¾î¸µ |
ÀÌÁ¾¼ö ±³¼ö
(¿¬¼¼´ëÇб³) |
11:00~13:00
(120¡¯) |
Case Study 4:
±¸µ¿½Ã½ºÅÛ |
- ±¸µ¿½Ã½ºÅÛ(¸ðÅÍ, µå¶óÀÌºê µî) PHM Á¢±Ù¹ý
- ±¸µ¿½Ã½ºÅÛ ½Å·Ú¼º Çâ»óÀ» À§ÇÑ PHM
»ç·Ê |
¿ÀÇö¼® ±³¼ö
(±¤ÁÖ°úÇбâ¼ú¿ø) |
13:00~14:00 |
Áᫎ |
14:00~16:00
(120¡¯) |
Case Study 5:
AI application |
- Áøµ¿, ¿, À½Çâ ¿µ»ó°ú CNN
- µ¥ÀÌÅÍ »ý¼º°ú GAN
- µ¿Á¾/À¯»ç ½Ã½ºÅÛ°ú Transfer Learning
- µðÁöÅÐ Æ®À©°ú Reinforcement Learning |
À̽Âö ±³¼ö
(Æ÷Ç×°ø°ú´ëÇб³) |
* »ó±â ÀÏÁ¤Àº »óȲ¿¡ µû¶ó º¯µ¿µÉ ¼ö ÀÖ½À´Ï´Ù.
¢º °»ç ¼Ò°³
À̸§ ¹× ¼Ò¼Ó |
ÁÖ¿ä ¾à·Â |
¿¬±¸ ºÐ¾ß |
ÃÖÁÖÈ£ ±³¼ö
(Çѱ¹Ç×°ø´ëÇб³) |
-
1997~ : Çѱ¹Ç×°ø´ëÇб³ Á¶/ºÎ±³¼ö, ±³¼ö
-
2018~2019: Çѱ¹PHMÇÐȸ
ÃÊ´ëȸÀå
-
2017~ : Çѱ¹ÃÖÀû¼³°èÇÐȸ ȸÀå
- 2015~2017: Çѱ¹Ç×°ø´ëÇб³
ºÎ¼Ó ±â°èÇ×°ø»ê¾÷ ½Å·Ú¼º±â¼ú ¿¬±¸¼¾ÅÍÀå
-
2014~ : ´ëÇѱâ°èÇÐȸ ½Å·Ú¼ººÎ¹® ȸÀå
- 1989-1997:
»ï¼ºÄÚ´×(ÁÖ) ¼±ÀÓ, ¼ö¼®¿¬±¸¿ø |
- °íÀ忹Áö ¹× °ÇÀü¼º °ü¸® (PHM)
- ½Å·Úµµ ±â¹Ý Á¤ºñ
- ½Å·Ú¼º ºÐ¼® ¹× Æò°¡ |
ÇÏÁ¾¹® ¹Ú»ç
(Çѱ¹Ç¥ÁØ°úÇבּ¸¿ø) |
-
2019~ : Çѱ¹Ç¥ÁØ°úÇבּ¸¿ø, ¼±ÀÓ¿¬±¸¿ø
-
2017~2019: LG ÀüÀÚ ¼ÒÀç»ý»ê±â¼ú¿ø, ¼±ÀÓ¿¬±¸¿ø |
- ȸÀü±â°è Áøµ¿ ½ÅÈ£ ºÐ¼®
- °íÀ忹Áö ¹× °ÇÀü¼º °ü¸® (PHM)
- ÀΰøÁö´É ±â¹Ý »óÅ ºÐ·ù ¹× °íÀå Áø´Ü |
ÀÌ»ó¿ø ±³¼ö
(¼º±Õ°ü´ëÇб³) |
- 2018~ : ±³¼ö, ¼º±Õ°ü´ëÇб³ ±â°è°øÇкÎ
- 2018~ : ¼¾ÅÍÀå, ¼º±Õ°ü´ëÇб³ ´ëÇÐÇõ½Å°ú°øÀ¯¼¾ÅÍ
- 2013~ : ±¹°¡¹Ì·¡ÀÇÁ¦
Æç·Î¿ì ±³¼ö, SBS ¹®ÈÀç´Ü
-
2012~2018: ºÎ±³¼ö,
¼º±Õ°ü´ëÇб³ ±â°è°øÇкÎ
-
2013~2014: Visiting Associate
rofessor,
Ce
ter
for Design Research, Stanford University, U.S.A. |
- Eco-Friendly & Sustainable
Manufacturing (ģȯ°æ ¹× Áö¼Ó °¡´É »ý»ê ±â¼ú °³¹ß)
- AI-based Smart Manufacturing (ÀΰøÁö´É ±â¹Ý ½º¸¶Æ® ÆÑÅ丮 ±â¼ú)
- Data-driven Design (ºòµ¥ÀÌÅÍ ±â¹Ý µðÀÚÀÎ Àü·«) |
À±º´µ¿ ±³¼ö
(¼¿ï´ëÇб³) |
-
2010~ : ¼¿ï´ëÇб³ Á¶/ºÎ±³¼ö, ±³¼ö
-
2016~ : OnePredict Inc. ´ëÇ¥
-
2019~ : Çѱ¹PHMÇÐȸ ȸÀå
-
2019~ : LG Electronics Inc. ÀÚ¹®À§¿ø
-
2015~2017: SEMES Co. ÀÚ¹®À§¿ø
-
2012~2016: Samsung Electronics Inc. ÀÚ¹®À§¿ø
-
2007~2010: University of Maryland,
College Park Á¶±³¼ö
-
2005~2007: Michigan Technological University Á¶±³¼ö |
- Reliability-based
Design Optimization
- Prognostics & Health
Management
- Energy Harvesting
- Statistical Model Verification
& Validation |
¹ÚÁ¤È£ ¹Ú»ç
(¿øÇÁ·¹µñÆ®) |
- 2019.9.~
: Ã¥ÀÓ¿¬±¸¿ø, OnePredict
- 2018.6.~2018.12.: Visiting
Researcher, University of Alberta
- 2017.7.~2018.5.: Research
Assistant/Visiting Researcher, Xerox PARC
- 2012~2019:
¼¿ï´ëÇб³ ±â°èÇ×°ø°øÇкΠ¹Ú»ç
- 2006~2012:
¼¿ï´ëÇб³ ±â°èÇ×°ø°øÇкΠÇлç |
- ½ÅÈ£ ºÐ¼® (Signal Processing)
- µ¥ÀÌÅÍ ºÐ¼® (Data Analytics)
- ±â°è ÇнÀ (Machine Learning) |
ÀÌÁ¾¼ö ±³¼ö
(¿¬¼¼´ëÇб³) |
-
1997~ÇöÀç: ¿¬¼¼´ëÇб³ ±â°è°øÇкÎ
±³¼ö
-
2002~ÇöÀç: Çѱ¹½Ã¹Ä·¹À̼DZâ¼ú & À̼¾½º ÀÚ¹®±³¼ö
-
2015~2017: ´ëÇѱâ°èÇÐȸ CAEÀÀ¿ë¿ªÇÐ ºÎȸÀå, ȸÀå
-
2018~ÇöÀç: Çѱ¹PHMÇÐȸ ºÎȸÀå, ¼ö¼®ºÎȸÀå
-
2018~ÇöÀç: ¿¬¼¼´ëÇб³ ºñ´¢ÀÇÇаú
°âÁ÷±³¼ö
-
2019~ÇöÀç: ¿¬¼¼´ëÇб³ ÀÚµ¿Â÷À¶ÇÕ°øÇаú
°âÁ÷±³¼ö
-
2019~ÇöÀç: Çѱ¹ÃÖÀû¼³°èÇÐȸ
ȸÀå |
- Multi-Physics Design Optimization
- Prognostics & Health
Management
- Quality Engineering Design
- Industrial Artificial
Intelligence, Machine Learning & Deep Learning |
¿ÀÇö¼® ±³¼ö
(±¤ÁÖ°úÇбâ¼ú¿ø) |
-
2016~ : ±¤ÁÖ°úÇбâ¼ú¿ø Á¶±³¼ö
- 2019~ : Çö´ëÀÚµ¿Â÷
½Å·Ú¼ºTFT ÀÚ¹®À§¿ø
- Çѱ¹PHMÇÐȸ ⸳¸â¹ö ¹× ±³À°ÀÌ»ç
- KSME ½Å·Ú¼ººÎ¹®, CAE¹×ÀÀ¿ë¿ªÇкι® ÀÌ»ç
-
KSME ÀΰøÁö´É¸Ó½Å¿¬±¸È¸ ¿©¸§/°Ü¿ïÇб³ AI°¿¬ |
- ½Ã½ºÅÛ °ÇÀü¼º ¿¹ÁöÁø´Ü ¹× ÀÜ·ù¼ö¸í ¿¹Ãø
- ½Ã¹Ä·¹ÀÌ¼Ç Çؼ® ¸ðµ¨ °Ëº¸Á¤ ¹× ÃÖÀû ¼³°è |
À̽Âö ±³¼ö
(Æ÷Ç×°ø°ú´ëÇб³) |
-
2018~ÇöÀç: Æ÷Ç×°ø´ë Á¶±³¼ö
-
2013-2017: ¿ï»ê°úÇбâ¼ú¿ø Á¶±³¼ö
-
KSPHM ⸳¸â¹ö ¹× ±³À°ÀÌ»ç
-
KSME ½Å·Ú¼º ºÎ¹®, ÀΰøÁö´É
¸Ó½Å ¿¬±¸È¸ ÀÌ»ç
- ¼ÒÀ½Áøµ¿°øÇÐȸ ÆòÀÇ¿ø
-
KSME ÀΰøÁö´É¸Ó½Å¿¬±¸È¸ ¿©¸§ ¹× °Ü¿ïÇб³ µö·¯´× °¿¬ (2017. 8, 2018. 1) |
- »ê¾÷ ÀΰøÁö´É |
¢º µî·Ïºñ
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µî·Ïºñ |
ºñ °í |
ȸ¿ø |
ÀÏ ¹Ý |
60¸¸ ¿ø |
¡Ø µî·Ïºñ´Â
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- 1¿ù 4ÀÏ~1¿ù 14ÀÏ ¿äû: ¼ö¼ö·á 20% Â÷°¨ ÈÄ È¯ºÒ
- Çà»ç ½ÃÀÛ ÈÄ¿¡´Â Ãë¼Ò ¹× ȯºÒ ºÒ°¡ |
ÇÐ »ý |
50¸¸ ¿ø |
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