Trends and Recent Advances of Industrial Big Data Analytics and Cyber Physical Models for PHM Applications

Abstract: In today’s competitive business environment, companies are facing challenges in dealing with big data issues for rapid decision making for improved productivity and business innovation. Many product and manufacturing systems are not ready to manage big data due to the lack of smart analytics tools. U.S. has been driving the Cyber Physical Systems (CPS), Industrial Internet, and Advanced Manufacturing Partnership (AMP) Program to advance future manufacturing. Germany is leading a transformation toward 4th Generation Industrial Revolution (Industry 4.0) based on Cyber-Physical Production System (CPPS). It is clear that as more predictive analytics software and embedded IoT are integrated in industrial products, predictive technologies can further intertwine smart IoT to predict product performance autonomously and further optimize the smart service systems.

The presentation will address the trends of predictive big data analytics and CPS for future industrial PHM application. First, predictive analytics and Cyber-Physical System (CPS) enabled industrial systems will be introduced. Second, advanced predictive analytics technologies for self-aware industrial systems with case studies will be presented. Finally, business innovation based on industrial big data will be introduced using case studies.

Speaker 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, GM, Ford, Chrysler, Toyota USA, Siemens, Parker Hannifin, Spirit AeroSystems, Ingersoll Rand, Intel, Applied Materials, Lam Research, Bosch Rexroth (Germany), Alstom (France), Omron (Japan), Nissan (Japan), Tekniker (Spain), FMTC (Belgium), Kistler (Switzerland), Samsung (Korea), Shanghai Electric (China), SANY (China), Baosteel (China), HIWIN (Taiwan), Foxconn (Taiwan), etc. He is the pioneer on Industrial Big Data and has authored the book “Industrial Big Data” which has been a top selling book. He was selected as 30 Visionaries in Smart Manufacturing by SME in 2016.

His current research focuses on Industrial Big Data Analytics, Cyber Physical Systems, and Self- Aware Asset Management Systems. He is one of the pioneers in the field of Intelligent Maintenance Systems, Prognostics and Health Management (PHM), as well as Predictive Analytics of Asset Management. He as 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. Currently, he serves on the Advisory Board for a number of start-up companies including Predictronics and Falkorny, etc.

He was invited to be a member of White House Cyber Physical Systems (CPS) American Challenge Program in Dec. 2013, a member of Technical Advisory committee (TAC) 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 serves as a senior advisor to McKinsey & Company as well as a S&T advisor to Alstom Transport, France. In addition, he serves on the Board of Governors for Frost Sullivan Manufacturing Leadership Council, SME Smart Manufacturing Digital Transformation Executive Committee, Scientific Advisory Board of Flanders’ MECHATRONICS Technology Centre (FMTC) in Leuven, Belgium, Scientific Committee of SIMTech of Singapore, etc. 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. 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.. 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.

The Role of PHM at Commercial Airlines

Abstract: As profit margins at commercial airlines in the United states approach levels typically seen in other industries, the airlines are starting to invest in processes that will improve operational efficiencies, improve customer satisfaction, and reduce direct operating costs. The supply of Data Analytic companies offering the capability to the provide business insight to achieve these goals is endless. With modern aircraft producing a terabyte of data on every single flight, smart sensors being installed on more and more components, and the Internet of Things ensuring more connectivity, how will the airlines use this information to achieve their operational goals? What information do they really need? Are they willing to pay for the insight?

In this presentation, Rhonda will discuss the current state of the commercial airlines, what their cost drivers are, and how PHMs can be used to lower their costs and improve their operations, assuming they are willing to pay for it.

Speaker Bio:
Rhonda Walthall is the Manager of Prognostics and Health Management at UTC Aerospace Systems. Since 2010, she has led the development and implementation of the Aircraft System Health Management (ASHM) Program. Prior to joining UTC in 2003, she worked for Northwest Airlines and McDonnell Douglas Aircraft Company.

Rhonda is a member of SAE International and the 2016 recipient of the James M. Crawford Technical Standards Board Outstanding Achievement Award. She is the current Chair of the newly formed Reliability, Supportability, and Health Management Systems Group, the Integrated Vehicle Health Management (IVHM) Steering Group, and the 2016 Fellows Selection Committee. She is an active member of the E32 Committee for Propulsion Systems Health Management and the HM-1 Committee for Health Management.

Rhonda was an author and contributor to the SAE publications “Integrated Vehicle Health Management: Implementation and Lessons Learned” and “Integrated Vehicle Health Management: Business Case Theory and Practice.” She was a presenter in the SAE webcast “Taking Data to New Heights: How Airlines, Plane Manufacturers, and Suppliers Are Shaping the Future of Integrated Vehicle Health Management.” She served as the Document Sponsor for multiple Aerospace Information Reports.

Rhonda is an active member of the Prognostics Health Management (PHM) Society, Toastmasters International, and Women in Aviation International. Rhonda holds one patent and two invention disclosures.

Rhonda received her Bachelor of Science Degree in Aeronautical and Astronautical Engineering from Purdue University and a Master’s Degree in Business Administration from Pepperdine University.

Testing and Debugging Software-Intensive Systems

Abstract: Although considerable effort has been invested in developing methods for testing and failure detection, synthesis of programs from abstract models and verification of programs (and models), techniques for locating the root cause of observed program failures are still relatively immature. Therefore, the utility for general testing and debugging techniques remain limited to specific programs, execution environments, and problem contexts. Furthermore, no plug&play toolset exists providing state-of-the-art techniques to help developers with testing and debugging.
In this talk, we will discuss current state-of-the-art techniques for testing and debugging and how the combination of all these techniques helps to gain a better understanding of the software application. The techniques discussed in the talk are available within a plugin for the Eclipse IDE, coined GZoltar.

Speaker Bio: Dr. Rui Abreu holds a Ph.D. in Computer Science – Software Engineering from the Delft University of Technology, The Netherlands, and a M.Sc. in Computer and Systems Engineering from the University of Minho, Portugal. His research revolves around software quality, with emphasis in automating the testing and debugging phases of the software development life-cycle as well as self-adaptation. Dr. Abreu has extensive expertise in both static and dynamic analysis algorithms for improving software quality. He is the recipient of 5 Best Paper Awards, and his work has attracted considerable attention. He is currently a member of the Model-Based Reasoning group at PARC’s System and Sciences Laboratory.