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Àå¼Ò ¼­¿ï´ëÇб³ Â÷¼¼´ëÀÚµ¿Â÷¿¬±¸¼¾ÅÍ »çÀüµî·Ï±â°£ 2019-12-09~2020-01-10
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4Â÷»ê¾÷Çõ¸í ¸®´õ¾ç¼ºÀ» À§ÇÑ Àü¹®±â¼ú °­ÁÂ

 

¡°Industrial DigitizationÀ» À§ÇÑ PHM Practice - Case Study"

 

 

2020. 1. 15. ~ 17. | ¼­¿ï´ëÇб³ Â÷¼¼´ëÀÚµ¿Â÷¿¬±¸¼¾ÅÍ

 

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4Â÷»ê¾÷Çõ¸í ¸®´õ¾ç¼ºÀ» À§ÇÑ Àü¹®±â¼ú °­ÁÂ

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Industrial DigitizationÀ» À§ÇÑ PHM Practice - Case Study

ÀÏ    ½Ã

2020³â 1¿ù 15ÀÏ(¼ö) ~ 17ÀÏ(±Ý)

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¼­¿ï´ëÇб³ Â÷¼¼´ëÀÚµ¿Â÷¿¬±¸¼¾ÅÍ ¼¼¹Ì³ª½Ç

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Çѱ¹PHMÇÐȸ

¸ñ    Àû

±â¾÷, ¿¬±¸¼Ò ¹× ´ëÇÐ ¼®¹Ú»ç±Þ ¿¬±¸¿øÀ» ´ë»óÀ¸·Î ¼¾¼­½ÅÈ£¸¦ ±â¹ÝÀ¸·Î ÇÑ °ÇÀü¼º Áø´Ü ¹× ¿¹Áöº¸Àü±â¼úÀÇ ½ÇÀü Áö½ÄÀ» »ç·Ê Áß½ÉÀ¸·Î ´Ü±â°£¿¡ ½ÀµæÇÒ ¼ö ÀÖ´Â ±âȸ Á¦°ø

 

 

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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× ÆļÕ

- ¸¶¸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

Áß½Ä

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

¼³¸í: choi.jpg

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°¡

¼³¸í: ha.jpg

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

¼³¸í: lee.jpg

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·«)

¼³¸í: C:\Users\LG\AppData\Local\Microsoft\Windows\INetCache\Content.Word\À±º´µ¿±³¼ö.jpg

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°øÇкΠ±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

¼³¸í: prof¿ÀÇö¼®_img

¿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

¼³¸í: 47_À̽Âö

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

 

 

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- °³ÀÎ ³ëÆ®ºÏ ÁöÂüÀÌ ¾î·Á¿ì½Å °æ¿ì, °­¿¬ÀÚÀÇ ½Ç½ÀÀ» °üÂûÇϽô ¹æ¹ýÀ¸·Î ¼ö°­ÇÒ ¼ö ÀÖ½À´Ï´Ù.

 

 

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- ³»ºÎ ±ÔÁ¤¿¡ µû¶ó ±³Àç´Â ÀüÀÚÆÄÀÏ·Î Á¦°øÇÏÁö ¾Ê½À´Ï´Ù. ÀÌÁ¡ ³Ê±×·¯¿î ¾çÇØ ºÎŹ µå¸³´Ï´Ù. 

 

 

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±âŸ ±Ã±ÝÇϽŠ»çÇ×ÀÌ ÀÖÀ¸½Å °æ¿ì ÇÐȸ »ç¹«±¹(phm@phm.or.kr, 02-6954-0209)À¸·Î ¹®ÀÇ ¹Ù¶ø´Ï´Ù.

 

 

 

 

Çѱ¹PHMÇÐȸ(KSPHM) »ç¹«±¹

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´ëÇ¥ÀüÈ­: 02-6954-0209 | Æѽº 02-553-7527 | À̸ÞÀÏ: phm@phm.or.kr