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Newport News, Virginia, USA

US/Eastern
Marriott Newport News at City Center

Marriott Newport News at City Center

740 Town Center Dr., Newport News, Virginia, USA 23606 Front Desk: +1 757-873-9299 TOLL FREE: +1-866-329-1758
BAGGETT, Ken (Chairman), JONES, Erica (Jefferson Lab), LOSIK, Jen (Panel Presenter)
Description

CALL FOR ABSTRACTS OPEN
(Deadline September 25, 2022)


The ARW provides a venue for individuals from accelerator communities worldwide to meet and share their experiences on operating reliable facilities. The workshop fulfills the need to improve information exchange on technical issues and equipment reliability. It facilitates the opportunity for individuals to share their problems and solutions with their peers from other facilities, worldwide.

 

       

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About Newport News
Contribution Guidelines
Sponsors and Exhibitors
Registration
ARW 2022 Participant Registration Form
Participants
  • ABAD, Javier
  • AIKEN, Michael
  • ANGUS, Tiffany
  • APOLLONIO, Andrea
  • ARMBORST, Felix
  • AYAS IGLESIAS, Esther
  • BAGGETT, Ken
  • BAI, Feng
  • BAILEY, Chris
  • BECKER, Eliorah
  • BLACK, Andrew
  • BLACKLER, Ian
  • BRINKMANN, Arne
  • BRUYR, Nicolas
  • CALDWELL-STEFFEN, Sinje
  • CARROLL, Martin
  • CHAUVEAU, Anne-Catherine
  • CISMONDI, Fabio
  • COLE, Keith
  • CREEL, Jonathan
  • DE BOOY, Jonathan
  • DI CASTRO, Mario
  • FERNANDEZ ADIEGO, Borja
  • FERNANDEZ, Ferran
  • FERRAND, FREDERIC
  • FRED, Viktor
  • FREEMAN, Brian
  • GARZA, Omar
  • GAUTIER, Daniel
  • GEITHNER, Oksana
  • GEITHNER, Wolfgang
  • GENG, Rongli
  • GENGE, Kathleen
  • GIACHINO, rossano
  • GIORGIO, Caitlin
  • GOLDBERG, Darryl
  • GOUDARD, Olivier
  • GUSTAFSSON, Johannes
  • HANCOCK, Kasey
  • HAUPT, Dennis
  • HAYNES, Peter
  • HEUER, Christoph
  • HUANG, Yulu
  • JOHNS, Glen
  • JULIAN, Michael
  • KADOWAKI, Tetsuhito
  • KANDHOL, Deepti
  • KARY, Dana
  • KISHI, David
  • KOEPKE, Siegfried
  • KOPPI, Anthony
  • KOWAL, Jerry
  • KRECIC, Stefano
  • KUMAR, Onish
  • KÖVECSES, Szandra
  • LE PIMPEC, Frederic
  • LYNAM, Steven
  • MARR, Gregory
  • MICHAUD, Randy
  • MILANOVICH, Geoff
  • NADOLSKI, Laurent
  • NEWHART, Duane
  • NIEUWENHUIS, Rutger Arend
  • NORDT, Annika
  • PANERAS, Nikolas
  • PERINIC, Goran
  • PETERS, Charles
  • PHILIP, Sarin
  • PREDDY, Doug
  • REEVES, Steve
  • REGIER, Logan
  • REIMANN, Stephan
  • RIDER, Nathan
  • RITTER, David
  • ROMAGNOLI, Giulia
  • ROSENTHAL, Glenn
  • SAMPSON, Paul
  • SCANTAMBURLO, Francesco
  • SCHUH, Peter
  • SCHÜETT, Petra
  • SHARMA, Priya
  • SHEA, Declan
  • SMAKULSKA, Dorota
  • SMELTZER, Ryan
  • SMITH, Benjamen
  • SOLLANDER, Peter
  • SOPER, Toby
  • SPATA, Michael
  • STALLWORTH, Ernest
  • SZETO, Leo
  • TAKADA, Eiichi
  • TAN, Yugang
  • TENNANT, Chris
  • TERHEIDE, Rachel
  • TERRY, Heather
  • TRIPALDI, francesco
  • UNAL, Resit
  • VERBRUGGEN, Patrick
  • WISSMANN, Mark
  • YALIM, Cansu
  • YAMAMOTO, Kazami
  • YOCKY, Jerry
Need Help?
    • 14:00 16:00
      Workshop Registration
    • 17:00 18:30
      Welcome Networking Reception
    • 08:00 08:30
      Workshop Registration
    • 08:30 10:00
      LOC/IOC Welcome - ARW Introduction

      Local Organizing Committee and International Organizing Committee welcome and opening remarks.

    • 10:00 10:30
      Morning Break 30m TBD

      TBD

    • 10:30 12:00
      Accelerator Support Systems

      Reliable operation of accelerators requires reliable infrastructure support systems. This session explores the interface of these systems with accelerator systems as well as issues and optimization associated with them. Some of these areas include interfaces between cryogenics and plant operation, cooling and ventilation, electrical infrastructure and power quality, diesel and UPS backup power systems and power converters. Maintenance, disruption or malfunction of the utilities can lead to large impact on the accelerators in terms of downtime, reliability, and performance if no end-to-end approach is considered. In this session, feedback is welcome as well as means and strategies to make the accelerator components more resilient to support system disruptions (redundancy, backup system, harmonic filtering, UPS, training, etc.) and to shorten recovery time.

    • 12:00 13:30
      Lunch Break 1h 30m Attendee's Choice

      Attendee's Choice

      Attendee Choice
      Suggestions: https://indico.jlab.org/event/495/page/263-dining

    • 13:30 15:00
      Plenary Discussion
    • 15:00 15:30
      Afternoon Break 30m TBD

      TBD

    • 15:30 17:00
      Maintenance & Obsolescence

      All accelerators have reliability expectations. A data driven approach to maintenance has become a necessity as new accelerators increase in size and complexity. This can become more complex over the lifecycle of accelerator facilities when upgrades mix new and old components.
      • What approaches work best for maintaining high reliability your facility?
      • Have these approaches been shown to improve reliability and availability?
      • How do you handle obsolescence issues?
      • What are biggest struggles with optimizing maintenance activities and scheduling repairs?
      • Are there different approaches for new facilities vs new or upgraded facilities?

    • 18:00 19:00
      IOC Committee Meeting

      Limited to IOC Committee Members

    • 08:30 10:00
      Machine Learning & Reliability

      Machine Learning has already been applied in some instances to particle accelerators, the recent advances (e.g. deep learning) and heightened interest in the community indicate that it will be an increasingly valuable tool to meet new demands for beam energy, brightness and stability.
      The intent of this session is to introduce how problems in accelerator science and operation (in particular accelerator reliability) can be approached using ML techniques, and how these have the potential to provide benefits over classical approaches.

    • 10:00 10:30
      Morning Break 30m
    • 10:30 12:00
      Reliability in Harsh Environments

      Environmental factors create many challenges for reliable operation of accelerators. Most accelerators operate over large physical areas and must maintain high precision and safe operations. Challenges that must be considered include many factors which are outside the direct control of the operator; such as varying temperatures, ground settling, earthquakes. Accelerators themselves produce radiation and temperatures from operation that impact equipment selection, precision and lifespan.
      • Presenters are asked to share impacts on their systems from the harsh environments they operate in,
      • How they address the issues
      • Lessons learned.

    • 12:00 13:30
      Lunch 1h 30m Attendee Choice

      Attendee Choice

      Attendee's Choice

      Attendee Choice

    • 13:30 15:00
      Poster Session
    • 15:00 15:30
      Afternoon Break 30m
    • 15:30 17:00
      Breakout Session
    • 18:00 19:30
      Scientist Walks Into a Bar Tradition Brewery

      Tradition Brewery

      700 Thimble Shoals Blvd, Newport News

      Hosted By: The Accelerator Reliability Workshop 2022
      Admission is Free

    • 08:30 10:00
      Predicting Failure

      Components and systems have different failure modes, and rates depending on where they are in their lifetime, which in turn is dependent on the operational cycle in which the components and systems are being used.

      • What are effective means and tools for predicting failure?
      • When should we use the tools?
      • What is the raw data which is needed and how do we obtain it?
      • How do we analyse and feed-back this information to drive improvement?

      In this session, we encourage the presentation of uses cases, scenarios, and the tools, such as Root Cause Failure Analysis (RCFA), to conduct logical, structured, and deductive techniques that can identify the failure root-causes.

    • 10:00 10:30
      Morning Break 30m
    • 10:30 12:00
      Predictive Maintenance

      Predictive Maintenance is a technique that uses data analysis tools and techniques to detect anomalies in operation and emerging defects in equipment and processes so they can be addressed before failure occurs.

      Ideally, predictive maintenance allows the maintenance frequency to be as low as possible to prevent unplanned reactive maintenance without incurring costs associated with doing preventive maintenance. Predictive maintenance uses historical and real-time data from various parts of your operation to anticipate problems before they happen. Contributors are encouraged to report on the application of preventive maintenance in their facilities.

    • 12:00 17:00
      Colonial Williamsburg Excursion 5h Williamsburg, VA

      Williamsburg, VA

    • 18:00 21:00
      Networking Banquet 3h James River Country Club

      James River Country Club

      James River Country Club

    • 08:30 10:00
      Reliability of Medical Facilities

      The largest number of particle accelerators are devoted to medical applications (diagnostic or therapy), but having a smaller size and energy compared to high energy physics research. These devices are also industrial products, as compared to research machines. During the two last decades an increase pf “large scale” medical facilities, comparable to those for research, have appeared. These Proton and Carbon facilities are now slowly moving to the biomedical and industrial world.

      The session of ARW2022 will consider:
      • return on experience or methods used in the existing centres, which consider reliability and a financial performance indicator
      • consideration of the medical accelerator and associated systems design; challenges and approaches of the industrial companies to achieve reliability of their products and processes.

    • 10:00 10:30
      Morning Break 30m
    • 10:30 12:00
      Breakout Session
    • 12:00 13:30
      Lunch 1h 30m Attendee Choice

      Attendee Choice

    • 13:30 15:00
      Invited Speaker Session
    • 15:00 15:30
      Afternoon Break 30m
    • 15:30 17:00
      New & Innovative Accelerator Technology

      Innovation in automation and robotics is an area of focus for increasing efficiency and productivity in the accelerator community.

      • How is the accelerator industry utilizing both "off the shelf" and "in house" technologies for handling repetitive tasks to reducing stress and increasing safety for the workforce?
      • How are we using Big Data analytics to discover useful, otherwise hidden, patterns to incorporate data-driven decisions for facilities and applying machine learning techniques to model, explore and implement data driven solutions?
      • What type sensors are available (pressure, vibration, thermal, etc.). Uses of case scenario will be very greatly appreciated.

    • 18:00 19:00
      IOC Committee Meeting

      Limited to IOC Committee Members

    • 08:30 10:00
      Reliability Consideration Before / During Machine Upgrade

      Reliability and availability requirements are taken into consideration before the design of systems and components is carried out. This is a common practice in many industrial applications and is becoming more common for projects in the accelerator domain. A systematic analysis of machine parameters and scenarios should serve as a basis to establish prediction and calculations to correctly dimension accelerator sub-systems and components. Knowing how to calculate reliability is important, but knowing how to achieve reliability is equally, if not more, important. Reliability practices must begin early in the design process and must be integrated into the overall product development cycle. This session will try to answer how to fold reliability considerations before and during a machine upgrade.

    • 10:00 10:30
      Morning Break 30m
    • 10:30 12:00
      LOC/IOC Closing Remarks, Workshop Highlights & Next Workshop

      Discussion summary, workshop highlights, closing remarks from LOC and IOC and future workshop strategy and planning