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 12 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 a much more engaging experience and increased opportunity to gain unique knowledge.

Panel Session Topics:

  • Smart Manufacturing PHM
  • Human Machine Interfaces for Smart PHM
  • Automotive PHM & Emerging Standards
  • PHM for the Electric Power Grid
  • Successful PHM Strategies in Oil & Gas
  • PHM Applications Deployment
  • PHM in Railway Maintenance
  • Education and Standards
  • Leveraging Data Analytics for Digital Strategies in Commercial Aviation
  • PHM for Human Assets
  • PHM for Corrosion Assessment and Remediation
  • Fielded Systems Lessons Learned


Panel Committee Chair:

Brian A. Weiss


Panel Session Schedule:

Panel Day/Time
Smart Manufacturing PHM Tues morning
Human Machine Interfaces for Smart PHM Tues morning
Automotive PHM & Emerging Standards Tues afternoon
PHM for the Electric Power Grid Tues afternoon
Successful PHM Strategies in Oil & Gas Weds morning
PHM Applications Deployment Weds morning
PHM in Railway Maintenance Weds afternoon
Education and Standards Weds afternoon
PHM for Corrosion Assessment and Remediation Thurs morning
PHM for Human Assets Thurs morning
Leveraging Data Analytics for Digital Strategies in Commercial Aviation Thurs afternoon
Fielded Systems Lessons Learned Thurs afternoon

Confirmed Panel Speakers from:

  • Airbus
  • All Nippon Airways
  • Amsted Rail
  • Amtrak
  • Arizona State
  • AWC
  • Boeing
  • Bosch
  • Caterpillar
  • Cazena
  • Defense Acquisitions University
  • Delphi
  • Delta Airlines
  • Dutch Rail
  • FA Achen
  • Forcam
  • GE Power
  • GE Wind
  • Georgia Tech
  • General Motors
  • HMI Systems
  • Honeywell
  • Hydro-Quebec
  • Lufthansa
  • Makino
  • National Instruments
  • NAVAIR Propulsion and Power
  • NIST – National Institute of Standards and Technology
  • Northeastern University
  • Penn State
  • Predictronics
  • Ridgetop Group
  • Rolls Royce
  • SAE International
  • Schlumberger
  • Siemens
  • United States Air Force
  • University of Arizona
  • University of Tennessee
  • University of Texas
  • UPS
  • Vivonics


Panel Session Details

Smart Manufacturing PHM
Session Chair: David Siegel (Predictronics)
Description: Higher throughput, better product quality, and higher equipment availability, are the potential benefits that a well-designed prognostic and health management (PHM) systems can provide for manufacturing equipment and manufacturing processes. This enticing value proposition, along with a larger industry trend on the topics of Industry 4.0 and Smart Factory are sparking an increasing level of interest in PHM related technologies for manufacturing applications. This panel brings together a diverse group of speakers from original equipment manufacturers, end-users/manufacturers, and technology providers to discuss their ongoing PHM related efforts and their current technology and business challenges. Potential applications will be highlighted, such as industrial robot health monitoring, machine tool spindle and ball screw failure prediction, process-level performance monitoring and bottleneck detection, and incorporating machine health with factory-level decision making systems. Lastly, the panelist will share their thoughts on the future direction of manufacturing PHM.
List of Panelists:

  • Mohamed AbuAli (Forcam)
  • Yujie Chen (Caterpillar)
  • Xiaoning Jin (Northeastern University) (Slides)
  • Ed Spence (Slides)
  • Greg Vogl (NIST)


Human Machine Interfaces for Smart PHM
Session Chair: Jeremy Marvel (NIST) (Slides)
Description: Advancements in technology are dramatically changing the way we interact with our tools, and the face of manufacturing technology is literally changing to accommodate new processes and the technologically savvy operators working in our factories. Designs of user interfaces (UI) have moved significantly from their original function-over-form values. Currently, human-machine interface (HMI) designs are focused on the end-user, specifically how the presentation of system and process PHM is received and acted upon. These new designs take into direct account the ease-of-use, operator feedback and situational awareness, and overall user experience (UX) of working with the system. The goals of modern HMI design are thus focused on enabling the maximization of productivity while minimizing the cognitive demands of the operators. As technologies shift to accommodate new “collaborative” and “smart” philosophies, the nature of HMI is also expected to change to ensure operator interaction is more intuitive, safe, and effective.
The HMI for Effective PHM panel seeks to highlight the current state-of-the-art and metrics of evaluating the performance of HMI toward promoting and maintaining manufacturing situational awareness, and enabling operators to visualize and respond to critical system and process intelligence. The panel will also bring focus to the needs for advancing HMI solutions for the next generation of collaborative and smart technologies, applications, and consumers. The panel consists of experts representing user interface manufacturers, integrators, researchers, and solutions providers, who will share their perspectives on HMI challenges and opportunities for maximizing the effectiveness of UI for system and process PHM.
List of Panelists:

  • Shelly Bagchi (NIST) (Slides)
  • Radu Pavel (TechSolve) (Slides)
  • David Siegel (Predictronics)


Automotive PHM and Emerging Standards
Session Chair: Steven W. Holland (General Motors) (Slides)
Description: PHM technology has entered production use in the automotive domain and is expected to become increasingly important for 1) Advanced Diagnostics and 2) True Prognostics. The scope of this panel includes the opportunities and barriers to the growth of PHM for commercial automotive and fleet applications. This panel is highly qualified to address the critical role suppliers will need to play in collaboration with the OEMs/Integrators to maximize the value to themselves but more importantly to the end customer. Effective supplier engagement will depend upon emerging standards to reduce proliferation and to manage costs.
List of Panelists:

  • Philip Aiello (UPS)
  • Luis Hernandez (Global Strategic Solutions)
  • Andre Kleyner (Delphi)
  • Klaus Sekot (Bosch)
  • Yilu Zhang (General Motors)


PHM for the Electric Power Grid
Session Chair: Avi Gopstein (NIST)
Description: The availability, reliability, and affordability of the electric power grid is critical to any nation’s economy. The convergent advances in computing and communications technology, together with the electric power industry’s accelerating deployment of renewable generation and storage technologies to meet environmental performance goals, present new opportunities for advanced diagnostics and prognostics to ensure a reliable electric grid. This panel explores case studies in the deployment of advanced diagnostics, health monitoring, and prognostics for electric power distribution systems, and highlights the business strategies and technical requirements for effective programs.
List of Panelists:

  • Norman Amyot (Hydro-Quebec)
  • Jamie Coble (University of Tennessee) (Slides)
  • James Hofmeister (Ridgetop Group)
  • Darragi Messaoudi (Hydro-Quebec) (Slides)
  • Sameer Vittal (GE Wind) (Slides)


PHM Applications Deployment
Session Chair: Tomasz Pancewicz (GE Aviation) (Slides)
Description: The scope of modern PHM applications keeps on growing. Currently, numerous organizations from various industries are ready to make use of numerous predictive and diagnostic models at large scales, on fleets of thousands of machines, with many different configurations, operating in different regions, being managed by networks of stakeholders. The purpose of this panel is to discuss the various issues related to the deployment, management and maintenance of successful PHM applications. The panel will focus on how to create better environments for Remote Monitoring and Diagnostic (RM&D) operators, to help them make the best maintenance decisions and what kinds of feedback-loops should be built into our applications. Discussions will include if professional software engineers should be rewriting prototype models created by analytics engineers / data scientists, vs. should the code created by data scientists be allowed on production servers. Maintainability shall be addressed: how to implement, monitor and manage fleets of models at the production-level, so that they’re easy to update, fix and replace in the future. Discussions will also include how to shorten the time required from the moment the prototype-level code is ready, until the production-level code is ready, tested and deployed. The questions around the design of production-level IT PHM systems and processes turn out to be far from trivial where this panel aims to foster constructive conversations to solve these challenges.
List of Panelists:

  • Neil Eklund (Analatom)
  • Juan Lopez (Boeing)
  • Mikhail Roshchin (Siemens)
  • Dan Stair (Cazena)
  • Sameer Vittal (GE Power)


PHM in Railway Maintenance
Session Chair: Parham Shahidi (PARC)
Description: Railroads play an essential role in today’s global economy. As the most efficient land-based mode of transport for freight and the most reliable commuting method for passengers, both freight and passenger rail enable economies to operate reliably, safely and cost efficiently. Given the global pervasiveness of the railroads, making this transportation mode even more reliable and efficient is of paramount importance.
Emerging technologies such as Machine Learning and Big Data hold promise to unlock greater utilization by evolving existing maintenance practices towards condition-based maintenance. Mechanical assets such a locomotives and railcars as well as infrastructure assets such as tracks will benefit from this change, as maintenance and impending failure become predictable. Successful implementations include monitoring track geometry/rail condition, brake systems, and wheel health. While the predictive capabilities are improving, two important factors still require more attention for the success of Railway PHM. These include the data acquisition pipeline and the creation of value chains to offset initial investment costs and drive industry wide implementation.
This panel is made up of experts from industry and research to offer insight into both the practical and theoretical aspects implementing PHM in railroad operations. The panelists will present their unique backgrounds and discuss their experiences with Railway PHM projects and the impacts they have made. The panel will also include a discussion about the future of Railway PHM, where the panelists see the most pressing need for improvements, and where the greatest opportunities are.
List of Panelists:

  • Brad Hopkins (Amsted Rail)
  • Milad Hosseinipour (Amtrak)
  • Wan-Jui Lee (Dutch Rail)
  • Raphael Pfaff (FH Aachen)
  • David Siegel (Predictronics)


PHM Education and Standards
Session Chairs: Jeff Bird (TECnos) and Ravi Rajamani (drR² consulting)
Forum link:
Description:One of the PHM Society’s objectives is the advancement of PHM as an engineering discipline which includes standards and education. Panels on standards in development and what is needed have been conducted and documented in past conferences and a Society forum exists for exchanges (link above). SAE International as a Technical Partner has greatly contributed to these activities. The PHM Society is also a member of the US Technical Advisory Group of the ISO TC108 that covers diagnostics and prognostics.
How do standards and education come together for the PHM community? Both are enablers for individual and organizational achievement. This panel aims to examine existing methods and issues for advancing standards education in the PHM domains. Three perspectives on the body of knowledge are sought for discussion with the audience:

  • Conventional standards organizations (open and commercial?)
  • Industry (internal closed within supply chains?)
  • Academia (open and lifelong learning?)

The panel will address generation, availability and renewal of the bodies of PHM knowledge with proprietary, commercial, supply chain realities. We will post to the Society Forum the Background and Challenges presentation in the summer to help the panelists and audience to prepare. Each panelist will conclude their presentation with three challenges to the audience (and PHM world) to salt the open discussion.

List of Panelists:

  • Duncan Chase (Rolls Royce)
  • Patrick Dallosta (Defense Acquisitions University)
  • Logen Johnson (SAE International)
  • Karl Reichard (Pennsylvania State University)
  • Brian Weiss (NIST)


Corrosion Assessment and Remediation
Session Chair: Edward Manns (NACE) (Slides)
Description: Corrosion is a major concern for DoD and industry as equipment age and become prone to corrosion processes. Losses due to corroding aircraft, transportation systems, oil and gas, industrial processes and many other sectors of our economy amount to billions of US dollars each year. It is imperative that new technological developments be advanced to mitigate the detrimental effects of corrosion. R&D is focusing on new coating materials to prevent corrosion as well as on novel corrosion sensing devices and means to detect and predict the extent of corrosion on critical structures and surfaces.
This panel session will examine the current status of corrosion prevention and mitigation technologies. The impact of corrosion processes on the integrity of critical equipment and processes in the oil and gas, transportation, aerospace and other industrial sectors. The panel members will present the state of the art and debate solution options.
List of Panelists:

  • Fritz Friedersdorf (Luna) (Slides)
  • Bernard Laskowski (Analatom) (Slides)
  • Brian Manty (MB-TSI)
  • Rae Marie Mattis (NACE)
  • George Vachtsevanos (Georgia Tech) (Slides)
  • Frank Zahiri (US Air Force) (Slides)


PHM for Human Assets
Session Chair: Wolfgang Fink (University of Arizona) (Slides)
Description: Predictive Health Management (PHM) originated in the Aerospace Industry, basically trying to predict when what part would fail for what reason(s) to make (preventive) maintenance more efficient and cost-effective. This panel discusses contributions in the fields of wearable smart sensors, sensor-data-fusion, machine learning and data mining, prediction and diagnosis, and electronic health records and databases – all in the context of prognostics and health management for human performance on Earth and in Space. Moreover, this panel builds on the discussions of the experience and processes encountered/created by the panelists and highlights some specific challenges, needs, and wants with respect to the development and implementation of standards and guidelines pertaining to PHM in the area of human assets. This diverse group of panelists present their standards and guidelines perspectives on PHM for human assets. Conversations will include PHM’s current and envisioned applications within general healthcare, sports/athletes, theatre, and space environments along with how the needs, data stream, and supporting PHM tools, can be better designed, developed, implemented, integrated, verified, and validated to impact smart healthcare.
List of Panelists:

  • Mark Derriso (US Air Force) (Slides)
  • Dragan Djurdjanovic (University of Texas) (Slides)
  • Wolfgang Fink (University of Arizona) (Slides)
  • Gordon Hirschman (Vivonics)
  • Thurmon Lockhart (Arizona State) (Slides)


Leveraging Data Analytics for Digital Strategies in Commercial Aviation
Session Chair: Rhonda Walthall (UTC Aerospace Systems)
Description: The role of Data Analytics in aircraft health monitoring, predictive maintenance and inventory optimization is in the forefront of nearly every conversation about digital strategy and the projected growth of the commercial aviation aftermarket. The key stakeholders in this discussion are the Operators, OEMs, MROs, and Suppliers. This panel builds on the discussion and experience of these stakeholders in leveraging Data Analytics to support their initiatives for legacy aircraft and new technology aircraft.
List of Panelists:

  • Craig Amadeo (Delta)
  • Jayant Sen Gupta (Airbus) (Slides)
  • Steve King (Rolls Royce) (Slides)
  • Ken Nishiwaki (All Nippon Airways) (Slides)
  • Sven Pörschmann (Lufthansa Technik)
  • Ginger Shao (Honeywell) (Slides)


Fielded Systems Lessons Learned
Session Chair: Andy Hess (The Hess PHM Group)
Description: Several long-term career practitioners in the fields of PHM and CBM+ will share their experiences, observations, and important lessons learned as part of this distinguished panel of experts. Much can be learned from the requirements generation, development, Verification and Validation, implementation, maturation, fielded use, fleet support, and enterprise-wide use of real world PHM systems. Just the development of the individual capabilities that make up a comprehensive and fully integrated PHM system; provides a large number of lessons learned – both good and bad. A recently evolving important focused area will also be explored around the question: “just who really owns the data that these systems produce”. These issues need to be discussed, documented, and viewed across the many industry sectors that are fielding PHM systems. Short presentations will be given by all panel participants that describe their particular topic area and experiences within the PHM/CBM+ domains. An open panel discussion will follow to explore some of these identified specific issues and concerns.
List of Panelists:

  • Duncan Chase (Rolls Royce)
  • Steve Holland (General Motors)
  • Allen Jones (NAVAIR Propulsion and Power)
  • Michele Kochoff Platt (AVNIK Defense Solutions)
  • Woody Polter (Naval Surface Warfare Center)
  • Ginger Shao (Honeywell)