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HSE Articles

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2025-04-04
14:56
Enhancing Prognostics of Analog Electronics Through Simulations / Waldhauser, Felix (CERN ; Stuttgart U.) ; Boukabache, Hamza (Stuttgart U.) ; Dazer, Martin (CERN) ; Perrin, Daniel (CERN)
Developing failure prediction algorithms for analog electronics at the system level is challenging due to layout-dependent failure characteristics, requiring extensive failure analyses. This study presents an automated failure analysis approach based on SPICE simulations, offering a resource-efficient method capable of accommodating system changes and upgrades. [...]
2024 - 8 p.
In : 8th International Conference on System Reliability and Science (ICSRS 2024), Catania, Sicily, Italy, 20 - 22 Nov 2024, pp.1-8

Подробен запис
2024-07-22
09:39
Generating Realistic Failure Data for Predictive Maintenance: A Simulation and cGAN-based Methodology / Waldhauser, Felix (CERN ; Stuttgart U.) ; Boukabache, Hamza (CERN) ; Perrin, Daniel (CERN) ; Dazer, Martin (Stuttgart U.)
Absence of failure data is a common challenge for datadriven predictive maintenance, particularly in the context of new or highly reliable systems. This is especially problematic for system level failure prediction of analog electronics since failure characteristics depend on the actual system layout and thus might change with system upgrades. [...]
2024 - 2 p. Fulltext: PDF;
In : Proceedings of the European Conference of the PHM Society 2024, pp.1024-1026

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2024-05-21
11:53
Enhancing airborne transmission modelling of respiratory viruses in enclosed spaces through a CO$_2$ concentration fitting algorithm / Aleixo, Luis (CERN) ; Henriques, Andre (CERN) ; Mounet, Nicolas (CERN)
The COVID-19 pandemic has emphasized the critical need for accurate risk assessment and mitigation strategies in indoor settings. [...]
CERN-OPEN-2024-004. - 2024. - 8 p.
Full text

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2024-02-02
06:36
Integrating System Knowledge in Unsupervised Anomaly Detection Algorithms for Simulation-Based Failure Prediction of Electronic Circuits / Waldhauser, Felix (CERN ; U. Stuttgart (main)) ; Boukabache, Hamza (CERN) ; Perrin, Daniel (CERN) ; Roesler, Stefan (CERN) ; Dazer, Martin (U. Stuttgart (main))
Machine learning algorithms enable failure prediction of large-scale, distributed systems using historical time-series datasets. Although unsupervised learning algorithms represent a possibility to detect an evolving variety of anomalies, they do not provide links between detected data events and system failures. [...]
2023 - 8 p. - Published in : 10.18429/JACoW-ICALEPCS2023-TU1BCO02 Fulltext: PDF;
In : 19th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS 2023), Cape Town, South Africa, 7 - 13 Oct 2023, pp.249-256

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2024-01-10
13:06
Computation of radioactivity in particle accelerators and propagation of uncertainties with the JEREMY code / Froeschl, Robert (CERN) ; Magistris, Matteo (CERN) ; Leite Pereira, Fernando ; Theis, Chris (CERN)
Beam losses are responsible for material activation in certain components of particle accelerators. [...]
CERN-OPEN-2024-001 ; EDMS1406467. - 2014. - 13 p.
Preprint

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2023-06-15
10:11
Implementation of ICRP116 Fluence to Effective Dose Conversion Coefficients in a FLUKA user routine / Bozzato, Davide ; Froeschl, Robert (CERN)
The estimation of the effective dose from the prompt radiation of a high energy and mixed radiation field is an important aspect of radiation protection at accelerator facilities. [...]
CERN-OPEN-2023-009 ; EDMS2439884. - 2020. - 23 p.
Preprint

Подробен запис
2023-03-06
09:21
Correction factor for the number of incident protons using correlation between SEC1 and PMIEA822 radiation monitor in the CHARM during Run 2 / Lee, Eunji (KEK) ; Sanami, Toshiya (KEK) ; Shiyo, Nobuhiro (Kyushu Univ) ; Kajimoto, Tsuyoshi (Hiroshima Univ) ; Froeschl, Robert (CERN)
In the CHARM facility, the beam intensity is obtained from the counts in the secondary emission chamber, denoted as SEC1. [...]
CERN-OPEN-2023-005 ; EDMS2810101. - 2022. - 19 p.
Preprint

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2023-02-09
15:53
Wavelet-based Noise Extraction for Anomaly Detection Applied to Safety-critical Electronics at CERN / Waldhauser, Felix (CERN ; Stuttgart U.) ; Boukabache, Hamza (CERN) ; Perrin, Daniel (CERN) ; Dazer, Martin (Stuttgart U.)
Due to the possible damage caused by unforeseen failures of safety-critical systems, it is crucial to maintain these systems appropriately to ensure high reliability and availability. If numerous units of a system are installed in various areas and permanent access is not guaranteed, remote, data-driven condition monitoring methods can be used to schedule maintenance actions and to prevent unexpected failures. [...]
2022 - 8 p. Fulltext: PDF;
In : 32nd European Safety and Reliability Conference (ESREL 2022), Dublin, Ireland, 28 Aug - 1 Sep 2022, pp.1844-1851

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2022-12-19
17:54
The DORIAN code for the prediction and analysis of residual dose rates due to accelerator radiation induced activation / Froeschl, Robert (CERN)
The estimation of residual dose rates at accelerator facilities is an important task for operational radiation protection. [...]
CERN-OPEN-2022-017. - 2013. - 5 p.
Preprint

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2022-05-06
06:25
ROMULUSLib: An Autonomous, TCP/IP-Based, Multi-Architecture C Networking Library for DAQ and Control Applications / Yadav, Amitabh (CERN) ; Boukabache, Hamza (CERN) ; Ceesay-Seitz, Katharina (CERN) ; Gerber, Nicola (CERN ; CSEM, Neuchatel) ; Perrin, Daniel (CERN)
The new generation of Radiation Monitoring electronics developed at CERN, called the CERN RadiatiOn Monitoring Electronics (CROME), is a Zynq-7000 SoC-based Data Acquisition and Control system that replaces the previous generation to offer a higher safety standard, flexible integration and parallel communication with devices installed throughout the CERN complex. A TCP/IP protocol based C networking library, ROMULUSlib, was developed that forms the interface between CROME and the SCADA supervision software through the ROMULUS protocol. [...]
2022 - 8 p. - Published in : JACoW ICALEPCS2021 (2022) 69-76 Fulltext: PDF;
In : 18th International Conference on Accelerator and Large Experimental Physics Control Systems, Online, 18 - 22 Oct 2021, pp.69-76

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