CERN Accelerating science

CERN Document Server 63 εγγραφές βρέθηκαν  1 - 10επόμενοτέλος  μετάβαση στην εγγραφή: Η έρευνα πήρε 0.61 δευτερόλεπτα. 
1.
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
2.
Multiequipment Radiation Measurements in a Field Generated by Bombarding a 1-GeV/u Fe Beam on a Polyethylene Target at GSI and Comparison to FLUKA Simulations / Mohanan, Sarath Kundumattathil (CERN) ; Boukabache, Hamza (CERN) ; Froeschl, Robert (CERN) ; Horst, Felix (Darmstadt, GSI ; HZDR, Dresden) ; Kozlova, Ekaterina (Darmstadt, GSI) ; Lorenzon, Tommaso (CERN) ; Perrin, Daniel (CERN) ; Sokolov, Alexey (Darmstadt, GSI)
The complex nature of the radiation environment in various high-energy physics facilities necessitates the use of different kinds of radiation monitors. The detectors used could be either passive or active and need dedicated readout electronics. [...]
2024 - 8 p. - Published in : IEEE Trans. Nucl. Sci. 71 (2024) 205-212 Fulltext: PDF;
3.
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
4.
Characterizing the Stray Radiation Fields at a FLASH Therapy Facility Using Gas-filled Ionization Chamber with an ASIC Front-end / Kundumattathil Mohanan, S (CERN) ; Boukabache, H (CERN) ; Laforge, C (CERN) ; Reiner, G Walter ; Perrin, D (CERN)
Ultra-high dose rate radiation therapy is gaining momentum in the treatment of cancer. Many recent studies have shown promising results with great potential. [...]
2023 - 2 p. - Published in : 10.1109/NSSMICRTSD49126.2023.10338004
In : 2023 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector (RTSD) Conference (2023 IEEE NSS MIC RTSD), Vancouver, Canada, 4 - 11 Nov 2023
5.
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
6.
Towards the next generation of CERN radiation monitoring front end ASICs / Kundumattathil Mohanan, S (CERN ; Wuppertal U.) ; Boukabache, H (CERN) ; Perrin, D (CERN) ; Pfeiffer, U (Wuppertal U.)
Radiation monitoring using ionisation chambers spans a wide spectrum of radiation fields from environmental monitors to ambient dose monitors near particle accelerators. Hence the output generated by these sensors can vary from few femtoamperes to microamperes. [...]
2022 - 7 p. - Published in : JINST

In : TWEPP 2021 Topical Workshop on Electronics for Particle Physics, Online, Online, 20 - 24 Sep 2021, pp.C04029
7.
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
8.
RomLibEmu: Network Interface Stress Tests for the CERN Radiation Monitoring Electronics (CROME) / Ceesay-Seitz, Katharina (CERN) ; Boukabache, Hamza (CERN) ; Leveneur, Marvin (CERN) ; Perrin, Daniel (CERN)
The CERN RadiatiOn Monitoring Electronics are a modular safety system for radiation monitoring that is remotely configurable through a supervisory system via a custom protocol on top of a TCP/IP connection. The configuration parameters influence the safety decisions taken by the system. [...]
2022 - 5 p. - Published in : JACoW ICALEPCS2021 (2022) 581-585 Fulltext: PDF;
In : 18th International Conference on Accelerator and Large Experimental Physics Control Systems, Online, 18 - 22 Oct 2021, pp.581-585
9.
An Ultra Low Current Measurement Mixed-Signal ASIC for Radiation Monitoring Using Ionisation Chambers / Kundumattathil Mohanan, Sarath (CERN) ; Boukabache, Hamza (CERN) ; Cruchet, Vassili (CERN) ; Perrin, Daniel (CERN) ; Roesler, Stefan (CERN) ; Pfeiffer, Ullrich R (Wuppertal U.)
Measurement of total ionizing dose in a radiation field is efficiently carried out by ionisation chambers. The paper details the design of a mixed-signal ASIC for the front-end electronics of ionisation chambers. [...]
2022 - 9 p. - Published in : IEEE Sensors J. 22 (2022) 2142-2150 Fulltext: PDF;
10.
Formal Property Verification of the Digital Section of an Ultra-Low Current Digitizer ASIC / Ceesay-Seitz, Katharina (CERN) ; Kundumattathil Mohanan, Sarath (CERN) ; Boukabache, Hamza (CERN) ; Perrin, Daniel (CERN) ; Boukabache, Hamza (CERN)
This paper details our experience with Formal Property Verification (FPV) of the digital section of a mixed-signal Application Specific Integrated Circuit (ASIC) for ultra-low current measurements. The ASIC was developed as a prototype front-end for the future version of the CERN RadiatiOn Monitoring Electronics (CROME), which is a safety-critical system. [...]
2021 Fulltext: PDF; Poster: PDF;
In : Design and Verification Conference in Europe, Online, Germany, 26 - 27 Oct 2021

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