Bio: Andy Hess is globally recognized as a leader and expert in the fields of advanced diagnostics, Prognostics and Health Management (PHM), Condition Based Maintenance (CBM+), asset management, big data analytics, and predictive maintenance. For over 35 years, at the Naval Air System Command, Andy lead the innovation, development, and implementation of condition monitoring systems for all the Navy fixed wing and helicopter applications. He is widely recognized as a leader in the area of turbine engine monitoring systems. Andy helped formulate the autonomic logistics concept and lead the PHM development for the JSF F-35 program. Andy is a widely used consultant to industry, government, and academic organizations in the fields of advanced diagnostics, prognostics, health and asset management, and enterprise wide applications. Andy is the current president of the PHM Society and remains active in many other professional, advisory, and standards organizations and committees. Andy started his career in flight testing at the Naval Air Test Center and Naval Air Warfare Center evaluating aircraft systems; developing the first comprehensive engine monitoring system; and playing significant roles in the development of military aircraft. He has been a Senior Engineering Fellow at NAVAIR and a Fellow of the Society for Integrated Engineering Asset Management. He leads the PHM effort for the Joint Strike Fighter JPO. Through his consulting firm, Andy helped DARPA structure and manage their large materials and structures based Prognosis program. Some of his other clients have included: Bell Helicopter, Boeing, General Atomics, NASA Ames, Honeywell, the US Army CECOM, Sikorsky, Teledyne Controls, the SAS Institute, the Australian and Canadian governments, the University of Maryland CALCE, and sundry small businesses.
Bio: Steve Holland is the leading proponent of Prognostics & Health Management in the global automotive industry. He retired following a long career at General Motors in early 2019 where he most recently served as a Research Fellow, Chief of Vehicle Health Management (VHM), and Chair of GM’s Senior Leadership Technical Council. In 2002, he led a team of researchers that designed and implemented a very successful, large-scale manufacturing application of prognostics. He was the first to layout a vision for automotive PHM at the IEEE ESTC technical conference in 2008 in Greenwich, England. In 2015, he helped launch OnStar Proactive Alerts which now provides starting system prognostics for millions of GM vehicle customers. He has served on the PHM Board of Directors since 2014 and was its inaugural director to champion automotive PHM. He has been active in the SAE IVHM Standards efforts since 2012 and chaired the influential JA6268 recommended practice on Health-Ready Components published in April 2018. Steve is a Life Fellow of IEEE and a Fellow of the PHM Society. Mr. Holland holds technical degrees from Kettering & Stanford Universities.
Bio: Ian's career spans over 40 years, working mostly for a variety of gas turbine companies. He has a Mechanical Engineering degree and a PhD in CFD both from Imperial College, London. He has worked for Rolls-Royce (twice), General Electric and Alstom in a number of technical roles, gaining experience in aerodynamics, heat transfer, fluid systems, mechanical design, combustion, services and IVHM. Ian moved to Cranfield in July 2008 as Professor and Director of the newly formed IVHM Centre. The Centre is funded by a number of industrial companies, including Boeing, BAE Systems, Thales, Meggitt, MOD and Alstom Transport. He has led the development and growth of the Centre, in research and education, since its inception. The Centre offers an IVHM short course each year and has offered an IVHM MSc. Ian is on the editorial Board for the International Journal of Condition Monitoring, a Director of the PHM Society, Vice-chairman of SAE's IVHM Steering Group, contributing member of the SAE HM-1 IVHM committee, a Chartered Engineer and a Fellow of IMechE, RAeS and ASME. He is the editor of five recent SAE books: 1. IVHM - Perspectives on an Emerging Field; 2. IVHM - Business Case Theory and Practise; 3. IVHM - the Technology; 4. IVHM - Essential Reading; 5. IVHM - Implementation and Lessons Learned and a co-author of the book: ‘No Fault Found – The Search for the Root Cause’.
Bio: Dr. Byeng D. Youn is a Professor of Mechanical and Aerospace Engineering at Seoul National University (SNU) and the CEO of OnePredict Inc. He is currently the Future-Tech Consulting Fellow of LG Electronics. He earned Ph.D. degree from the University of Iowa in 2001. His research goal is to develop rational reliability and design methods based on mathematics, physics, and statistics for use in complex engineered systems, mainly focused on energy systems. His current research includes reliability-based design, prognostics and health management (PHM), energy harvester design, and statistical verification and validation (V&V). He also serves as an Editor of many notable journals. His research has been supported by the National Research Foundation (NRF) in Korea, Samsung Electronics, General Motors, and so on, and his accumulated funds amount to 10 million dollars.
Bio: Dr. Jay Lee is Ohio Eminent Scholar, L.W. Scott Alter Chair Professor, and Distinguished Univ. Professor at the Univ. of Cincinnati and is founding director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (www.imscenter.net) which is a multi-campus NSF Industry/University Cooperative Research Center which consists of the Univ. of Cincinnati (lead institution), the Univ. of Michigan, Missouri Univ. of S&T, and the Univ. of Texas-Austin. Since its inception in 2001, the Center has been supported by over 85 global companies including P&G, GE Aviation, Eaton, National Instruments, Boeing, Goodyear, Toyota, Caterpillar, Siemens, Chevron, Honeywell, Parker Hannifin, Spirit AeroSystems, Ingersoll Rand, Intel, Applied Materials, Automated Precision Inc (API), Bosch Rexroth (Germany), Alstom (France), Omron (Japan), Nissan (Japan), Tekniker (Spain), FMTC (Belgium), Kistler (Switzerland), Samsung (Korea), Shanghai Electric (China), Baosteel (China), etc. He is one of the pioneers in the field of Prognostics and Health Management (PHM) and has mentored his students and won 1st prize of PHM Data Challenges five times since 2008. He also mentored his students and developed a spin-off company Predictronics through NSF ICorps Award in 2012.
He serves as Committee member for White House Cyber Physical Systems (CPS) American Challenge Program in Dec. 3013, a member of Technical Executive committee (TEC) of Digital Manufacturing and Design Innovation (DMDI) in Feb. 2014, as well as a member of Leadership Council of MForesight which is a NSF/NIST Newly established manufacturing think tank in Sept. 2015. He also serves as honorary professor and visiting professor for a number of institutions including Shanghai Jiao Tong Univ., Cranfield Univ. in UK, Lulea Univ. of Technology in Sweden, etc. He also serves as advisor to a number of global organizations, including a member of the Manufacturing Executive Leadership Board of U.S., Scientific Advisory Board of Flanders' MECHATRONICS Technology Centre (FMTC) in Leuven, Belgium, International S&T Committee for Alstom, France, Scientific Committee of SIMTech of Singapore, etc. In addition, he serves as editors and associate editor for a number of journals including IEEE Transaction on Industrial Informatics, Int. Journal on Prognostics & Health Management (IJPHM), Int. Journal on Service Operations and Informatics, etc..
Previously, he served as Director for Product Development and Manufacturing at United Technologies Research Center (UTRC), E. Hartford, CT as well as Program Directors for a number of programs at NSF during 1991-1998, including the Engineering Research Centers (ERCs) Program, the Industry/University Cooperative Research Centers (I/UCRCs) Program, and the Div. of Design, Manufacture, and Industrial Innovation. He also served as an advisory member for a number of institutions including, Johns Hopkins Univ., Cambridge Univ.,etc.
He has authored/co-authored numerous highly influential articles and technical papers in the areas of Prognostics and Health Management, E-Manufacturing, Industry 4.0, and Cyber Physical Systems in Manufacturing, etc. He has over 20 patents and trademarks. He is a frequently invited speaker and has delivered over 300 invited speeches worldwide including over 200 keynote and plenary speeches at major international conferences. He is a Fellow of ASME, SME, as well as a founding fellow of International Society of Engineering Asset Management.
He has received a number of awards including the most recent Prognostics Innovation Award at NI Week by National Instruments in 2012 and NSF Alex Schwarzkopf Technological Innovation Prize and MFPT (Machinery Failure Prevention Technology Society) Jack Frarey Award in 2014. In 1994, he received President Clinton’s Appreciation Letter for his participation and contribution to the United States Partnership for Next Generation Vehicle (PNGV) Program. He is also a honorary advisor to the Heifer International-a charity organization working to end hunger and poverty around the world by providing livestock and training to struggling communities.
Bio: Eric Bechhoefer is a retired Naval Flight Officer who has worked in aviation for over 35 years. He served in key engineering roles at MITRE Corporation and Goodrich Sensors & Integrated Systems, where he was a senior contributor in research and development for helicopter condition-based maintenance systems. He currently serves on the board of directors for the Prognostic and Health Management Society. Dr. Bechhoefer holds a Biology degree from the University of Michigan. He has an MS in Operations Research from the Naval Postgraduate School, and a PhD in Engineering (specializing in digital signal processing) from Kennedy Western University. His credits include more than 120 journal papers and 23 patents in the field of condition monitoring.
More keynote speakers are to be determined ...