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Panel Sessions

The PHM Society provides an opportunity to hear and interact with recognized industry leaders in relevant areas for our PHM work. These 90-minute panel sessions will consist of presentations and open discussion by 4-6 panelists directly engaging with the conference audience on the different topics listed below.

These sessions add an enriching dimension to the conference experience and a welcome networking alternative to traditional paper presentations, which dominate some conferences. We believe balancing the conference time in this fashion provides participants with a much more engaging experience and an increased opportunity to gain unique knowledge.

Panel Committee Chair:

Ravi Rajamani, drR2 Consulting

Panel Session Topics and Schedule:

No. Panel Name Date Time
1 PHM Education and Professional Development – Workshopping PHM Offerings and Needs Tue Nov 1 9:00 – 10:30
2 PHM for Space Applications Tue Nov 1 11:00 – 12:30
3 Use of PHM in Non-Traditional Ground Vehicles: Trucking, Agriculture, Construction, and Mining Tue Nov 1 14:00 – 15:30
4 Cyber-Physical Systems for Smart Manufacturing and Sustainment Wed Nov 2 9:00 – 10:30
5 Physics Informed AI and Applications to PHM Wed Nov 2 13:00 – 14:30
6 PHM for Robots Wed Nov 2 14:45 – 16:45
7 Experience and Lessons Learned over the Multiple Eras of PHM Development and Implementation Thu Nov 3 11:00 – 12:30
8 PHM for Renewables Thu Nov 3 14:00 – 15:30
9 Autonomous Systems and PHM Fri Nov 4 8:00 – 9:30

Panel Session Details:

Panel 1: PHM Education and Professional Development – Workshopping PHM Offerings and Needs
Chair: Jeff Bird, TECnos

Background: The PHM Society is dedicated to promoting the development, growth, and recognition of PHM as an engineering discipline and to supporting PHM education by developing standard teaching curricula in the field. The society has developed and regularly offered two courses to the community: PHM Fundamentals and Case Studies, and Analytics for PHM. It has proposed an EPD (“one-stop resource”) portal, PHM taxonomy, and PHM Professional Development Guidelines.

Panel Aims: The session with the full engagement of the audience aims to:
1.       Summarize some existing PHM educational resources including PHM Society offerings
2.       Identify education and professional development needs across the community
3.       Prioritize new niche opportunities for the society with diversity and inclusion

Panel Outcomes: Augmented EPD portal on the website of EPD resources, prioritized list of new initiatives

Society summary: Jeff Bird and Nancy Madge,- TECnos
What we do now, what we could do, in-person/remote/?, how to sell it (some opinions and provocative questions to the audience):
Academic view: Dr. Jamie Coble- UTK and Dr. Sankaran Mahadevan- Vanderbilt
Industry view: TBC

1. Introductions and PHM Society summary – 15 minutes
2. Three panelists – 10 minutes each
3. Facilitated discussion with the audience on other resources, needs, delivery methods, integration with STEM and priorities – 40 minutes
4. Priorities – 5 minutes
List of Panelists:
• Nancy Madge, TECnos
• Jamie Coble, The University of Tennessee, Knoxville
• Sankaran Mahadevan, Vanderbilt University
Panel 2: PHM for Space Applications
• Derek DeVries, Northrop Grumman
• Andy Hess, The Hess PHM Group
The planned use of manned and long-term crewed space platforms, as well as quick-to-launch and reusable space vehicles, is increasing at a very accelerating rate. After the legacy NASA developed Space Shuttle and LEO ISS; among many things, there are near-term NASA plans for: a lunar Gateway station, a permanent lunar base, asteroid present, and Mars bases. Vehicles and platforms to accomplish these far-reaching goals will include crewed space and surface-based stations and habitats; various types of launch, long-range transportation, and orbit-to-surface vehicles; and all kinds of support subsystems and technologies. Besides NASA, DoD, and other government-directed organizations; commercial based entities are aggressively developing systems to achieve these same and additional space-related goals. These commercial-focused applications include space tourists to space and LEO, space-based hotels, and lunar and deep space resource mining. This panel will focus on issues and challenges associated with these applications; and how PHM capabilities can be applied to reduce risks, increase efficiencies, and ensure resilient sustainment of these vehicles, platforms, habitats, and systems.
List of Panelists:
• John Madsen, Northrop Grumman
• Homer (Health) Dewey, Northrop Grumman
• Sudipto Ghoshal, Qualtech Systems, Inc.
• Stephen Johnson, NASA
• Fernando Figueroa, NASA
• Ammar Mohammed, Blue Origin
Panel 3: Use of PHM in Non-Traditional Ground Vehicles: Trucking, Agriculture, Construction, and Mining
Chair: Rhonda Walthall, Collins Aerospace
This panel will explore the various ways prognostics and diagnostics are being used for commercial vehicles, such as trucking, agriculture, construction, and mining.
List of Panelists:
• Tom Tasky, FEV North America
• Wally Stegall, The Morey Corporation
• Mike Campagna, Caterpillar
• Pagalavan Mathari, Cummings
Panel 4: Cyber-Physical Systems for Smart Manufacturing and Sustainment
• Rob Andes, Shipcom
• Frank Zahiri, Robins Air Force Base
The objective of the panel is to bring together researchers, entrepreneurs, and leaders from industry, university, and government to discuss the research and training opportunities and challenges of Cyber-Physical Systems (CPS) for Smart Manufacturing and Sustainment, including but not limited to AI/ML, cyber-physical security, testbed, and digital twin.
List of Panelists:
• WenZhan Song, University of Georgia
• Tianming Liu, University of Georgia
• Guopyu Lu, University of Georgia
• George Lu, optoXense, Inc.
• Sudipto Ghoshal, Qualtech Systems, Inc.
Panel 5: Physics Informed AI and Applications to PHM
Chair: Justinian Rosca, Siemens Technology
Does your application incorporate Machine Learning and Artificial Intelligence (AI) methods that are limited by the availability, amount, or quality of data necessary for training? Does the application domain have prior knowledge, mathematics, or physics knowledge not truly exploited by present data-driven approaches? Do your methods lack appropriate capabilities to translate and explain to human experts and users the internal system state and process of inference? If you answer yes to one of the questions above or a related question, we invite you to join the Physics Informed AI and Applications to PHM Panel, organized at the 14th Annual Conference of the Prognostics and Health Management (PHM) Society. PHM is concerned, amongst other topics with technologies for prediction, prognostics, control, autonomy, and their application in areas such as smart manufacturing, aerospace, automotive, energy, and transportation. Physics-Informed AI (PAI) brings approaches that incorporate prior knowledge, such as physical laws, to augment sparse data and ensure robust operation. Such approaches promise to improve the generalization ability of machine learning / AI systems beyond training data and allow them to work with sub-optimal data. Also called the Physics of AI, PAI is depicted as “baking in physics, mathematics, and prior knowledge” relevant to an application domain to address challenges in applying AI. The panel invites field experts to review both theoretical and pragmatic advances, recent successes, and the direction of PAI. We would like the panel to contribute to PAI gaining broader applicability amongst PHM practitioners.

Panel Goals:
1. Highlight recent successes of PAI and PAI Applications
2. Discuss the theoretical base
3. Discuss the broad applicability of PAI and the outlook for the field
List of Panelists:
• Paul Bogdan, University Southern California, Electrical and Computer Engineering
• Desmond Zhong, Siemens Technology
• Radu Balan, University Maryland, Applied Mathematics
• Soumalya Sarkar, Raytheon Technologies Research Center
• Tsung-Yeng Yang, Facebook Research
Panel 6: PHM for Robotics
• Radu Pavel, TechSolve Inc.
• Brian Weiss, University of Maryland, College Park
The rapid developments associated with the fourth industrial revolution are being driven by connectivity, automation, and digitalization. Automation with robots is seeing an unprecedented level of implementation in manufacturing. The Association for Advancing Automation (A3) reported that robot sales hit a record high in 2022. Whether industrial or collaborative, the robots are subject to similar degradation and maintenance challenges as compared to other electro-mechanical systems. Robots have their own, unique characteristics, which demand specific PHM strategies and paradigms. While less publicized and addressed by researchers in prior efforts, PHM for robots is seeing a growing interest from both academia and industry. This panel will bring together a diverse group of speakers from industry, academia, and government to discuss their ongoing PHM development efforts from the perspective of robot health monitoring. The panelists will share their thoughts on the future direction of PHM for robots and will seek to engage the audience in sharing their own perspectives. Although the main focus of the panel will be on robots used in manufacturing, the discussion will remain open to questions associated with robots operating in other industry areas.
List of Panelists:
• Michael Taylor, NIST (pending Travel approval)
• Sarah Lukens, LMI
• Karl M. Reichard, PSU – ARL
Panel 7: Fireside Chat Panel – Experience and Lessons Learned over the Multiple Eras of PHM Development and Implementation
• Andy Hess, The Hess PHM Group
• Derek DeVries, Northrop Grumman
This panel is made up of several “seasoned” experts who have been developing and implementing PHM-related capabilities and technologies for a great number of years. This panel will use their experiences and stories to explore the issues, challenges, barriers, and lessons learned that have evolved across the many eras of PHM-related activities including requirements; generation, capability benefits, ROI, justifications; development; V +V; programmatics; policies; expanding applications; integration: implementation; sustainment; enterprise-wide perspectives.
List of Panelists:
• Jacob Bortman, IAF and Ben Gurion University
• Eric Bechhoefer, GPMS
• John Madsen, Northrop Grumman
• Dennis Granger, US Army and MDA Official
Panel 8: Renewable Energy Sector and the Benefits of PHM
Chair: Shawn Sheng, National Renewable Energy Laboratory
This panel is on PHM for renewable power generation, including wind, solar, and battery storage systems. It covers both industry practices and novel research in academia. The challenges to maximizing PHM benefits for renewables will be discussed along with future R&D opportunities that may be of interest to the PHM community.
List of Panelists:
• Douglas Adams, Vanderbilt University
• Yigit Yucesan, Oak Ridge National Laboratory
• Ben Jones, EDP Renewables
• Yuliya Preger, Sandia National Laboratories
Panel 9: Autonomous Systems and PHM
Chair: Karl Reichard, Penn State University
Autonomous and unmanned systems are becoming more common in a range of civilian and defense applications. Examples include self-driving cars, mobile robots, military vehicles, and commercial transportation. Many unmanned systems are based on human-operated platforms augmented with drive-by-wire (B) and autonomy (A) kits. For operators of fleets of autonomous vehicles, the requirements and benefits of PHM are similar to those for their human-operated equivalents. However, from a sustainment standpoint, there may be additional requirements and benefits for PHM that differ from human-operated platforms. In addition, autonomous platforms have additional sensors, actuators, and software systems. This panel will explore how requirements for PHM and the implementation of PHM differ from human-operated and autonomous platforms.

Panel Goals:
1. Identify differences in requirements for PHM in human-operated and autonomous systems
2. Describe challenges in PHM for autonomous systems
3. Identify gaps in PHM that need to be addressed for autonomous systems
List of Panelists:
• Steve Holland
• Derick DeVries, Northrop Grumman
• Justinian Rosca, Siemens Technology