PHM Asia Pacific 2017
Asia Pacific Conference of the Prognostics and Health Management Society 2017
Call for Abstracts
July 12 - 15, 2017
Ramada Plaza Jeju Hotel, Jeju, South Korea
The PHM Society calls for papers and posters for presentation at the first Asia Pacific Conference of the Prognostics and Health Management Society 2017, which will take place as a biannual event in Asia Pacific countries thereafter.
The conference program will include distinguished keynotes by prominent researchers, tutorials for PHM beginners, data challenge competition, and panel sessions presenting high-level trends and best practices. For more details, please visit the official website: www.phmap.org. Participants will have the opportunity to strengthen their knowledge and practice in PHM and reinforce social network each other. Selected papers will be invited for publication on the special sections of the indexed journals, including Reliability Engineering and System Safety (SCI), Smart Structures and Systems (SCI), Journal of Mechanical Science and Technology (SCI-E), Noise Control Engineering Journal (SCI-E) and the International Journal of Prognostics and Health Management (SCOPUS).
The PHM Society is a fully on-line community with all the papers accessed free to the worldwide PHM communities, while the authors retain copyright in their work by allowing the PHM Society to distribute their work through a Creative Commons License.
We look forward to your acceptance of this invitation and to welcoming you in Jeju, South Korea in July, 2017.
Prof. Joo-Ho Choi
General Chair of PHM Asia Pacific 2017
● Keynote Lectures: We are pleased that renowned scholars accepted our invitation to deliver lectures during the conference. The topics will cover from fundamentals to application in PHM, which will be surely beneficial to all participants.
“Systems Engineering Approach to PHM in Aerospace”
Mr. Kurt James Doughty
UTC Aerospace Systems, Singapore
“Condition Monitoring & Diagnostics of Nuclear Mechanical Components: Experiences in KAERI”
Dr. Jin-Ho Park
Korea Atomic Energy Research Institute, Korea
"Prognostics and Health Management for Rechargeable Batteries"
Prof. Kwok L. Tsui
City University of Hong Kong, Hong Kong
"Trends and Recent Advances of Industrial Big Data Analytics and Cyber Physical Systems for PHM Applications"
Prof. Jay Lee
University of Cincinnati, USA
"PHM, a Continuum: the Past, Present, and Future"
President of PHM Society, USA
● Tutorials: One of the unique features of the PHM conferences is the free technical tutorials on various topics with comprehensive introduction to the state-of-the-art. The proposed tutorials address the interests of varied audience: beginners, developers, designers, researchers, practitioners, and decision makers who wish to learn a given aspect of PHM.
“Introduction to Diagnostics”, Hyunseok Oh, GIST, Korea
“Prognostics 101: Concept, Methods, Issues and Applications”, Dawn An, KITECH, Korea
“Deep Learning for PHM”, Seungchul Lee, UNIST, Korea
"Degradation Modeling and Analysis for Prognostics and Health Management”, Tao Yuan, Ohio University, USA
"Uncertainty Management in Prognostics", Shankar Sankararaman, SGT @ NASA Ames Research Center, USA
● Panel Sessions: PHMAP17 provides an opportunity to hear and interact with recognized leaders in relevant PHM areas. These 80 minute panel sessions will consist of presentations and open discussion by 4-6 panelists directly engaging with the conference audience on different topics listed below.
"Smart Manufacturing PHM"
"Asset and Operations Management: A Maritime Industry Focus"
"Commercial Aircraft PHM/IVHM"
● Short Course: PHMAP17 offers this two-day intensive short course titled “Advanced Machine Diagnostics and Condition Monitoring” on July 10-11, 2017 in Jeju, Korea right before the conference. The course gives an overview of the most up-to-date techniques in machine condition monitoring and diagnostics by vibration analysis and signal processing.
For more details on Short Course, please click here.
◈ Course Fellow: Prof. Robert B. Randall, UNSW, Australia
Advanced sensing and data acquisition
Big data analytics
Physics of failures
Model based prognostics
Data driven prognostics
Monitoring, diagnostic and prognostic methods
Residual life prediction
Statistical PHM modeling and design
Accelerated life and degradation test
Codes and standards
Structural health management
Prognostics system design and engineering
Prognostics for electronics, components and MEMS
Prognostics for automotive, marine and heavy industry
Prognostics for energy and smart grid applications
Prognostics for aviation and aerospace systems
Industrial internet of things for PHM
Maintenance modeling and optimization
Safety and risk assessment
Energy harvesting technologies for PHM
Diagnostic and prognostic biomarkers in biomedical applications
Prognostics for biomedical devices
Joo-Ho Choi, KAU, Korea
Byeng Dong Youn, SNU, Korea
David He, UIC, USA
Kang Rui, BUAA, China
Hong Zhong Huang, UESTC, China
Robert Randall, UNSW, Australia
Yu Peng, HIT, China
Kurt J. Doughty, UTC Aerospace Systems, Singapore
A. R. Mohanty, IIT Kharagpur, India
Makoto Imamura, TokaiU, Japan
Joong Soon Jang, AjouU, Korea
Byung-Oh Choi, KIMM, Korea
Yongchae Bae, KEPCO, Korea
Daeil Kwon, UNIST, Korea
Scott Clements, LMCO, USA
Technical Program Chairs
Suk-Joo Bae, HYU, Korea
Jongsoo Lee, Yonsei Univ., Korea
Yong Soo Kim, KGU, Korea
Chuljin Park, HYU, Korea
Liu Datong, HIT, China
Chan Hian Leng Ian, SIMT, Singapore
Jose Celaya, Schlumberger, USA
Short Course Chairs
Gyunyoung Heo, KHU, Korea
Jeff Bird, TECnos, Canada
Data Challenge Chairs
Joo-Hyung Kim, InhaU, Korea
Justinian Rosca, Siemens, USA
Panel Session Chairs
Seungchul Lee, UNIST, Korea
Brian Weiss, NIST, USA
Hae-Jin Choi, CAU, Korea
Bin Zhang, USC, USA
Gyuhae Park, CNU, Korea
Kai Goebel, NASA Ames, USA
Dongmin Kim, KRISS, Korea
Karl Reichard, PSU, USA
Jong Won Park, KIMM, Korea
Ravi Rajamani, drR2 consulting, USA
Gyunyoung Heo, KHU, Korea