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SUMMARY:IMORN-33 (33rd International Meeting On Reactor Noise)
DTSTART:20260706T060000Z
DTEND:20260708T163000Z
DTSTAMP:20260814T102300Z
UID:indico-event-4288@lpsc-indico.in2p3.fr
DESCRIPTION: \nWe are pleased to announce the next edition of the IMORN s
 eries: IMORN-33\, the 33rd International Meeting on Reactor Noise\, will 
 be held at CNRS/LPSC Grenoble\, France\, from the 6th-8th of July 2026\nIn
  the continuation of IMORN-30 in Chalmers University\, Sweden\, IMORN-31 i
 n Delft University of Technology\, Netherlands\, and IMORN-32 in Cambridge
 \, United Kingdom\n\nThe meeting will focus on recent advances in reactor 
 noise analysis and its applications in nuclear reactors. The organisers we
 lcome attendees to present their work on the theory and application of the
 se techniques. The event is intended to be informal and encourage discussi
 on among participants. The meeting will feature technical sessions of pres
 entations and panel discussions. As previous IMORN meetings\, this event 
 will bring together experts\, researchers\, nuclear engineers\, NPP person
 nel\, university educators and students from across the nuclear science an
 d engineering community\, as well as welcoming new entrants to the growing
  field of reactor noise analysis.\nAttendees to the conference are encoura
 ged to submit a title for an oral presentation. \nSome example topics of 
 interest include:\n\n\nThe theory of neutron noise applied to nuclear reac
 tors and non-proliferation.\nNumerical techniques in neutron noise analysi
 s: noise source modelling\, advanced method for numerical calculation of d
 ynamic transfer functions.\nExperimental techniques utilizing reactor nois
 e.\nThe use of reactor noise for nuclear reactor diagnostics.\nIndustrial 
 applications of reactor noise.\nData acquisition systems for noise analysi
 s (hardware\, software\, data transfer\, …)\nBuilt-in plant monitoring s
 ystems utilizing noise analysis methods to perform dedicated diagnostic fu
 nctions\nStatistical data processing techniques with modern signal process
 ing methods.\nApplication of AI (e.g. data mining\, machine learning and a
 rtificial neural network) techniques to elicit process information for ano
 maly detection\, fault diagnosis and reliable prognosis.\nOnline monitorin
 g of NPPs and related data processing.\nI&C for monitoring and control of 
 new innovative reactor designs (e.g. various SMR technologies)\nMultiplici
 ty measurement and analysis methods for safeguards.\nIntruder detection wi
 th online monitoring.\nReactor noise analysis supporting condition-based m
 aintenance and outage reduction in NPPs.\nCommunicating the advantages of 
 reactor noise analysis to management and decision makers.\n...\n\n\n \nTh
 e Registration process is performed in two steps:\n- Step 1 - pre-registr
 ation (see registration tab)\, limited to 50 participants- Step 2 - you wi
 ll receive a link to pay the registration fee\nThe payment (step 2) will b
 e available around April\, the fees are estimated at around 250€ coverin
 g lunches\, coffee breaks and one social dinner.\n \n\n            
                       \n \n \n \n \nOrganising Committee:\
 nAxel Laureau\, axel.laureau@cnrs.fr - Elsa Merle\, merle@lpsc.in2p3.fr - 
 Oszvald Glockler\, o.glockler@nep-consulting.com - Imre Pázsit\, imre@cha
 lmers.se - Paul Cosgrove\, pmc55@cam.ac.uk - Jan-Leen Kloosterman\, j.l.kl
 oosterman@tudelft.nl\n \nFor any question on the local organisation\, ple
 ase contact Elsa Merle and Axel Laureau\nSee you soon in Grenoble!\n \n 
 \n\nhttps://lpsc-indico.in2p3.fr/event/4288/
IMAGE;VALUE=URI:https://lpsc-indico.in2p3.fr/event/4288/logo-1219411321.pn
 g
LOCATION:LPSC
URL:https://lpsc-indico.in2p3.fr/event/4288/
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