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:
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List of Panelists:
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| Automotive 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:
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| 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:
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| 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:
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| 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:
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| 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:
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