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2022 1ȸ PHM
- 2022 1ȸ PHM -
- :
2022 10 27()
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ѱPHMȸ
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1) 迡 PHM ذ ʸ ߱ϰ ν PHM Ȯ
2) PHM о // ϰ а п ȹ
3) PHM ʸ ȸ ִ ϰ Ʈũ ȸ
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116( 52, а 50, 14)
PHM BOK GUIDE
츮 ȸ 2021 12 ǹ̵带 ϰ غ ߴ ü ǹ̵(PHM BOK GUIDE) 10 Ͽϴ. δ 츮 ȸ (б) 10 Ǿ , PHM Ȯ , ̵带 ϰ Ͽϴ.
ȸ Ͻ , ڼ Ʒ ٷΰ Ȥ ̹ Ŭ ֽñ ٶϴ.
PHM Korea 2022 ǥ ͻ ҽ
PHM Korea 2022(2022. 6. 29. ~ 7. 1., ȣڼ) ǥ ͻ Ʒ ǥ ȳ 帳ϴ.
ϵ帳ϴ.
PHM Korea 2022 ǥ
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ȣ(ѱ迬)
Advanced Condition-based-monitoring of CFRP Structures Using Electromechanical
Behavior under Multiple Impacts
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2D-CNN Ȱ ͺ ȿ
(LIGؽ)
PHM Korea 2022 ͻ
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̼ȣ(ѱ迬)
Strain Energy Based Topology Optimization of Medical Waste Shredder Blade
Muhammad Muzammil Azad(б)
2022 ѱPHMȸ ȸ ȸ
- Ͻ:
2022 10 27() 18:30
- :
ڼﰭ 1 ÷2
- ְ:
ѱPHMȸ
- ֿ䳻:
2022 , 2023 ȹ ǥ, ȸ簣
2022 ѱPHMȸ ۳
- Ͻ:
2022 11 25() 17:00
- :
- ְ:
ѱPHMȸ
- ֿ䳻:
2022 ȸ ֽ ̻Ե鲲 ظ ϴ ð ϴ.
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- 輮 ȸ, ѱŷڼȸ м
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ssim@skku.edu
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PHM society conference 2022 (2022.11.01.-04./ Nashville, USA)
PHM(Prognostic and Health Management) society Ͼ о߷μ PHM ȸ ϰ ǥذ ϴ پ Ȱ ϰ ִ ۷ι Ŀ´Ƽ̴. 170 Ѵ 7,000 ̻ ȸ ִ мȸ ް ִ. ̹ PHM society ȸ ̱ ׳ ֵǾ ç , 12 г 3 ǿ Ͽ 2 Ʃ丮 , 4 PHM ̷ ־.
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guswlr0110@g.skku.edu
PHM Society ҽ
ȸ ҽ
PHM Asia Pacific 2023
Ͻ:
Sep. 11~14, 2023
:
Hitotsubashi Hall, National center of sciences building, Toyko, Japan
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- Organized session proposal: Dec. 2022
- Abstract submission: Feb. 2023
- Paper submission: Apr. 2023
- Review feedback: May. 2023
- Final paper submission: Jun. 2023
- Early bird registration: May – Jul. 2023
PHM 2022 Data Challenge
:
fault classification for a rock drill application under different individual configurations of the rock drill
ֿ :
1 Team-Nuri, 2 SWING, 3 MathWorks
Job postings
Engineer, Fleet Health Monitoring
(Newark, CA, US, Lucid Motors, full time, 11 Nov. 2022)
Engineer, Fleet Health Monitoring, Manufacturing
(CASA Grande, AZ, US, Lucid Motors, full time, 11 Nov. 2022)
PHM м
Bayesian deep-learning for RUL prediction:
An active learning perspective 14
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Special Issue Information
Recent advances in Machine learning and deep learning theories: Towards Intelligent fault diagnosis
Machines and mechanical structures undergo various faults during operation. The timely diagnosis of these faults and the prediction of their future health condition is essential for industrial productivity and reliability. Recently, Intelligent fault diagnosis (IFD) has attracted much attention due to its promising way of automatically recognizing the health state of machines.
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http://www.pileta.co.kr/
ǷŸ 2007 â Դϴ. ΰ ȭ ö 꼳 ȭ ϰ ֽϴ. ȸ о, ı о߿ 10~20 ̻ Ǿ ֽϴ.
ȸ ȸ ȳ
ѱPHMȸ PHM(, Prognostics and Health Management
) ʿ 4 ٽɱ Ȯϰ Ȯ ϱ Ͽ âǾϴ. PHM ü , η¾缺 ° ϰ ο â ϰ ϴ ȸ ϼż Ȱ ٶϴ.
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ȸ Ȩ ī Ǵ մϴ. 繫 ֽø ȳ 帮ڽϴ
ȸ ȸ 繫(
phm@phm.or.kr
Ǵ 02-6954-0209) ֽñ ٶϴ.
2022 5 ̻ȸ ȸǷ
- 2022 5 ̻ȸ ȸǷ (2022 9 16, ¶ȭȸ)
2022 11 ȸ 6 ̻ȸ ȸǷ
- 2022 11 ȸ 6 ̻ȸ ȸǷ(2022 11 25, )
KSPHM ȸ
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ܹ ѱPHMȸ (ǥ: ) Address: 114 818ȣ ѱPHMȸ
T: 02) 6954-0209 | E:
phm@phm.or.kr
| H:
www.phm.or.kr
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