Availability simulation software adaptation to the IFMIF accelerator facility RAMI analyses

Bargalló, Enric; Sureda, Pere Joan; Alguacil, Natalia; Abal, Javier; Hoyo, Alfredo de Blas del; Dies, J.; Tapia, Carlos; Mollá, J.; Ibarra, Á.

doi:10.1016/j.fusengdes.2013.12.004

Cited by 8 publications

(6 citation statements)

References 4 publications

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“…Historically, reliability analysis for accelerators was usually performed in the design phase [14,15]. Some of the methods in the first case include: Reliability Block Diagrams (RBD) [4,16], Fault Tree Analysis (FTA) [17][18][19], Failure Mode and Effect Analysis (FMEA) [20] and other methods [21,22]. The results of these methods are later validated by analyzing machine operations data [9,23].…”

Section: Introductionmentioning

confidence: 99%

Predicting particle accelerator failures using binary classifiers

Reščič

Seviour

Blokland

2020

Nuclear Instruments and Methods in Physics Research Section A:

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Particle accelerator failures lead to unscheduled downtime and lower reliability. Although simple to mitigate while they are actually happening such failures are difficult to predict or identify beforehand. In this work we propose using machine learning approaches to predict machine failures via beam current measurements before they actual occur. To demonstrate this technique in this paper we examine beam pulses from the Oakridge Spallation Neutron Source (SNS). By evaluating a pulse against a set of common classification techniques we show that accelerator failure can be identified prior to actually failing with almost 80% accuracy. We also show that tuning classifier parameters and using pulse properties for refining datasets can further lead to almost 92% accuracy in classification of bad pulses. Most importantly, in the paper we establish there is information about the failure encoded in the pulses prior to it, so we also present a list of feasible next steps for increasing pulse classification accuracy.

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Section: Introductionmentioning

confidence: 99%

Predicting particle accelerator failures using binary classifiers

Reščič

Seviour

Blokland

2020

Nuclear Instruments and Methods in Physics Research Section A:

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“…The dedicated software AvailSim is used instead [99]. This software has been used used for the ILC and IFMIF accelerators and is now being used for LCLS-II.…”

Section: Reliabilitymentioning

confidence: 99%

The European Spallation Source Design

et al. 2017

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The ESS Design: Accelerator 6The ESS Design: Target 66The ESS Design: Controls 93The ESS Design: Conventional Facilities 109Physica ScriptaPhys. Scr. 93 (2018) 014001 (121pp) https://doi.org/10. 1088/1402-4896/aa9bff This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercialNoDerivs 3.0 licence. Content from this work may be used under the terms of the Creative Commons Attribution-NonCommercialNoDerivs 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Neutron scattering is a well-developed and extensively used means to get access to fundamental properties of biological matter as well as of physical materials. Until the end of the twentieth century that was mainly practiced with-and limited in performance by-the continuous flux of neutrons from ageing nuclear reactors (e.g. the Institut Laue-Langevin (ILL), the flagship of neutron research in Europe and in the world) [1]). Looking forward to the following two decades, an OECD report published in 1998 diagnosed the foreseeable decrease of the number of operational facilities [2] and the need to progress in performance. Considering the high scientific interest and the increasing importance of the subject for society at large, the report concluded by strongly recommending the construction of next generation neutron sources in America, Europe and Asia. Pulsed spallation neutron sources (SNS) using a proton beam power exceeding 1 MW were specifically mentioned as the most interesting high performance facilities in the future landscape of neutron laboratories.The USA was the first country to follow this advice by building the SNS in the Oak Ridge National Laboratory (ORNL) which started in 2006 [3, 4]. Japan followed in 2009 with the Japan Proton Accelerator Research Centre (J-PARC) in Tokai [5,6]. In Europe, the subject was part of a concerted effort to further develop the European world-leading largescale research infrastructures suite. In 2003, the European Strategy Forum for Research Infrastructures (ESFRI), set up by the Research Ministries of the Member States and associated countries, concluded that a 5 MW long-pulse, single target station layout with nominally 22 'public' instruments was the optimum technical reference design for an European Spallation Source (ESS) that would meet the needs of the European science community in the second quarter of the century [7].Six years later, in 2009, it materialised in a real project with the adoption of the site of Lund (Sweden). A preconstruction phase followed until the end of 2013 during which the design was finalised [8]. Construction then started with the first neutron beams planned to be available in 2019, and the ESS facility to be operational at full performance in 2025.2 Description 2.1 Principle and specifics. The high level parameters of ESS are shown in table 1. As at SNS and J-PARC, neutrons at ESS are produced by spallation, when the 2 GeV protons hit the meta...

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“…The FCC study was motivated to develop the collider operations model thanks to success of the LHC and HL-LHC availability studies [62,63]. Accelerator reliability and performance models are also made for (i) the Tevatron hadron collider [64,65], (ii) the planned International Linear Collider [66], (iii) the IFMIF fusion material test facility [67], and (iv) the European Spallation Source [68]. The reliability of particle accelerators have become consistently more important with increasing complexity of infrastructure and tightening user requirements [69].…”

Section: Discussionmentioning

confidence: 99%

An open modelling approach for availability and reliability of systems

Penttinen

Niemi

Gutleber

et al. 2019

Reliability Engineering & System Safety

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This paper introduces an Open Modelling approach for Availability and Reliability of Systems (OpenMARS), which is developed for risk and performance assessment of large and complex systems with dynamic behaviours. The approach allows for combining the most common risk assessment and operation modelling techniques. This ensures a high degree of freedom for the modeller to accurately describe the system without limitations imposed by an individual technique. OpenMARS uses a platform-independent tabular format to define the used modelling technique, to create the model structure, and to assign the parameter values. We developed the format to enable a straightforward manual model definition while maintaining database compatibility. This paper also presents our calculation engine for stochastic simulation-based analysis of OpenMARS models. Our intention is to use this approach as a basis for new software. We demonstrate the feasibility of OpenMARS with an example of a multi-state production process that is subject to failures. The example creates a comprehensive system model by combining interconnected failure logic, operation phase, and production function models. We believe that the advanced features of OpenMARS have wide ranging applications for analysis of reliability, performance, and energy efficiency of complex industrial processes.

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Availability simulation software adaptation to the IFMIF accelerator facility RAMI analyses

Cited by 8 publications

References 4 publications

Predicting particle accelerator failures using binary classifiers

Predicting particle accelerator failures using binary classifiers

The European Spallation Source Design

An open modelling approach for availability and reliability of systems

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