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Title:Meritve visokega in ultravisokega vakuuma z invertnim magnetronom in linearizacija karakteristik z nevronskim sistemom
Authors:ID Irmančnik-Belič, Lidija (Author)
ID Belič, Igor (Author)
ID Erjavec, Bojan (Author)
ID Šetina, Janez (Author)
Files:URL http://www.dlib.si/details/URN:NBN:SI:DOC-V8HH2J1K
 
Language:Slovenian
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FVV - Faculty of Criminal Justice and Security
Abstract:Invertni magnetronski merilnik spada v skupino ionizacijskih merilnikov s hladno katodo (CCG). Ti merilniki imajo zanemarljivo termično razplinjavanje in nizko spodnjo merilno mejo ter so primerni za merjenje v visokem (VV) in ultra visokovakuumskem (UVV) področju. Pomanjkljivost teh merilnikov je nelinearnost in nezveznost toka v odvisnosti od tlaka ter časovno zakasnjen vžig razelektritve pri nižjih tlakih. Trenutno teorija delovanja merilnikov tlaka CCG še ne zmore dovolj natančno opisati povezave merjenega toka in drugih parametrov, kot so visoka napetost, gostota magnetnega polja, geometrija in material merilnika ter vrsta plina v notranjosti komore. Končnega uporabnika merilnika zanima predvsem linearnost odnosa med izmerjenim tokom in dejanskim tlakom v merilni komori. Prevedba nelinearne tokovne karakteristike invertnega magnetrona je navadno izvedena z logaritmičnimi pretvorniki ali odčitana v internih tabelah. V članku je prikazan model merilne glave z invertno magnetronsko geometrijo, ki je bil konstruiran na osnovi miniaturne ionsko razprševalne črpalke. Karakteristike merilnika so bile izmerjene na kalibracijskem UVV-sistemu za primerjalne meritve. Za primerjalni plin sta bila izbrana dušik in vodik. Prikazana je uporaba nevronskih sistemov za linearizacijo neželenih nelinearnosti med parametri merilnika in izhodnim tokom. Nevronski sistem se iz predstavljenih meritev nauči vhodno-izhodne preslikave parametrov CCG-merilnika.
Keywords:ionizacijski merilniki, invertni magnetron, jakost rayelektritve, nevronski sistem, linearizacija karakteristik, modeliranje
Publication status:Published
Publication version:Version of Record
Publisher:Inštitut za kovinske materiale in tehnologije
Year of publishing:2001
Number of pages:str. 415-420
Numbering:Letn. 35, št. 6
PID:20.500.12556/DKUM-58171 New window
UDC:533.5
ISSN on article:1580-2949
COBISS.SI-ID:330847 New window
NUK URN:URN:SI:UM:DK:NMNZWQ6M
Publication date in DKUM:19.03.2020
Views:963
Downloads:30
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Materiali in tehnologije
Shortened title:Mater. tehnol.
Publisher:Inštitut za kovinske materiale in tehnologije
ISSN:1580-2949
COBISS.SI-ID:106193664 New window

Secondary language

Language:English
Title:Measurements of the high- and ultra-high-vacuum ranges by inverted magnetron and the linearisation of gauge parameters by neural networks
Abstract:The inverted-magnetron gauge is a member of cold-cathode-ionization gauges (CCG) group. Such gauges have an extremely low thermal outgassing rate and canbe used for very low pressure measurements. However the pressure-current characteristic prediction is nonlinear and it is even disconitnued at lower pressures. At lower pressures the current discharges show temporal delays. The theory of the cold cathode discharge gauge is insufficient. Thus the current-versus-pressure-characteristic prediction from gauge parameters such as high voltage, magnetic field, cell dimensions and material and the kind of test gas is not adequate. The end user is only interested in the linearity of the indicated pressure as a function of true pressure. The conversion from the non-linear current characteristic of the inverted magnetrons at pressures is typically made via logarithmic converters or internal look-up tables.
Keywords:cold-cathode ionization gauge, inverted magnetron, discharge intensity, neural networks, linearisation parameters, modeling


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