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 six 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

  • Standards for Adaptive PHM
  • Automotive
  • Smart Manufacturing
  • Commercial IVHM / Aviation
  • Wind Energy
  • Oil and Gas

Panel Session Chair:
David Seigel

Panel Session Schedule

Panel Day/Time
Standards for Adaptive PHM Monday, 3:30 – 5:00
Automotive Wednesday, 8:30 – 10:00
Smart Manufacturing Wednesday, 10:30 – 12:00
Commercial IVHM / Aviation Thursday, 8:30 – 10:00
Wind Energy Thursday, 10:30 – 12:00
Oil and Gas Thursday, 1:30 – 3:00



Panel Session Details

Standards for Adaptive PHM
Session Chairs: Jeff Bird, PHM Society Standards Committee; Karl Reichard, Penn State
Description: Through series of diverse opinions and an engaged audience we will try to answer: How can standard’s content and development processes evolve to address adaptive and reconfigurable PHM implementations? And what drives best practices in diverse sectors.  Come with your opinions and challenges!

Challenges to the speakers and audience:

  • How can standards evolve to address adaptive and reconfigurable PHM implementations across the supply chain over the life cycle: Standards content?
  • Standards development processes?
  • What drives best practices in your sector: Technology initiation? Technology maturation?
List of Panelists:

  • Laura Feix, SAE
  • Brian Weiss, NIST
  • Ravi Rajamani, Meggitt and SAE HM-1
  • Raj Bharadwaj, Honeywell
  • Sony Matthew, Schlumberger


Session Chair: Brinda Thomas, Tesla Motors
Description: Ubiquitous connectivity, cheap data storage and processing power, advances in sensor technology, and increasing consumer appetite for advanced automotive technologies are driving a data revolution in the automotive sector.  These forces create the opportunity for valuable applications of prognostics and health management (PHM) systems which integrate physics- and machine learning models to ensure long-term reliability and enhance the consumer experience with vehicle service.  In this panel, representatives from automobile manufacturers and suppliers will discuss the success stories, challenges, and lessons learned in implementing PHM applications, including best practices in data collection, infrastructure requirements, and data products and applications which enable predictive or proactive maintenance and vehicle service.  Conversations with the panelists will also include a discussion about making the business case for PHM within their organizations.
List of Panelists:

  • Steve Holland, General Motors
  • Jason Shiverick, Tesla Motors
  • Mohak Shah, Bosch
  • Zhijun (Zwick) Tang, Eaton


Smart Manufacturing
Session Chair: Brian Weiss, NIST
Description: PHM capabilities, including condition monitoring, diagnostics, and prognostics, are becoming more popular within smart manufacturing given their propensity to increase operational efficiency and decrease downtime. This panel brings together a diverse group of speakers to present their perspectives on PHM within Smart Manufacturing. Conversations will include PHM’s current and envisioned application within robotics and machine tools along with how the data stream, supporting PHM, can be better captured and understood to enhance future PHM implementations.
List of Panelists:

  • Radu Pavel, TechSolve
  • Jeremy Marvel, NIST
  • David Wang, Beet Analytics
  • David Siegel, Predictronics


Commercial IVHM / Aviation
Session Chair: Juan D. Lopez, Boeing
Description: Prognostics and Reliability Centered Maintenance have become key drivers of operational efficiency in Aviation. Both airplane manufacturers and airline operators rely on prognostics to improve asset reliability and maintenance efficiency respectively. This panel will offer diverse perspectives on how prognostics generate value for OEMs and Airline Operators in the aviation industry.
List of Panelists:

  • Wlamir Vianna, Embraer
  • Peter Kamber, Boeing
  • Yan Chen, GE Aviation
  • John Canton, Teledyne


Wind Energy
Session Chair: Junda Zhu, Renewable Energy Systems
Description: The nature of the planetary section design of wind turbine gearboxes calls for the most advance condition monitoring technology in both hardware and algorithm perspective. These technology improvements require field and lab based testing along with the experience from wind farm operator and maintenance programs. Moreover, due to the stochastic nature of wind speed and direction, the operating condition of wind turbine drivetrain is continuously fluctuating. Combined with the dynamic adjustment from the control system, it is a global challenge to offer a condition monitoring system that can provide stable reading regardless of the operating condition variation. On top of that, prognostics capability of a CMS system is also crucial to optimize the wind farm maintenance strategy in order to maximize the production rate. Therefore, as more and more operators are adapting the condition based maintenance, the PHM technology plays a significant part of the wind energy industry in the perspective of both system and component level.
List of Panelists:

  • Ruoyu Li, GE Global Research
  • Eric Bechhoefer, Green Power Monitoring Systems LLC
  • Pat Henning, Spectro Scientific
  • Kun S. Marhadi, Bruel & Kjaer Vibro


Oil and Gas
Session Chair: Rune Schlanbusch, Teknova
Description: Standard rig contracts of today are based on fixed day-rates, i.e. a fixed rate for the time the rig is under control of the operator. The market foresees that the contract regime will move towards performance-based contracts where availability is a key performance indicator. It is of interest to initiate a dialog between the operators, rig owners and original equipment manufacturers on sharing of responsibility, especially regarding equipment failure. We believe that condition monitoring and condition based maintenance will play an important role but it the landscape has to be set through dialog.

The second topic discussed is reclassification of offshore rigs. Each fifth year the rig owner brings the rig to a yard for reclassification, which is a time consuming and costly process. The panel will discuss possibilities for stretching of the reclassification time cycle through condition monitoring. The question if reclassification can be performed solely on demand rather than at fixed time intervals will be raised.

List of Panelists:

  • Neil Eklund, Schlumberger
  • Knut Erik Knutsen, DNV GL
  • Giuseppe Fabio Ceschini, Siemens AG