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WO1996035981A1 - Procede pour controler l'etat de processus dynamiques de bruit - Google Patents

Procede pour controler l'etat de processus dynamiques de bruit Download PDF

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Publication number
WO1996035981A1
WO1996035981A1 PCT/EP1996/001998 EP9601998W WO9635981A1 WO 1996035981 A1 WO1996035981 A1 WO 1996035981A1 EP 9601998 W EP9601998 W EP 9601998W WO 9635981 A1 WO9635981 A1 WO 9635981A1
Authority
WO
WIPO (PCT)
Prior art keywords
monitoring
signal
diagnosis
measured
values
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/EP1996/001998
Other languages
German (de)
English (en)
Inventor
Joachim Pohlus
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Institut fur Sicherheitstechnologie (istec) GmbH
Original Assignee
Institut fur Sicherheitstechnologie (istec) GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Institut fur Sicherheitstechnologie (istec) GmbH filed Critical Institut fur Sicherheitstechnologie (istec) GmbH
Publication of WO1996035981A1 publication Critical patent/WO1996035981A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G21—NUCLEAR PHYSICS; NUCLEAR ENGINEERING
    • G21D—NUCLEAR POWER PLANT
    • G21D3/00—Control of nuclear power plant
    • G21D3/001—Computer implemented control
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B21/00—Systems involving sampling of the variable controlled
    • G05B21/02—Systems involving sampling of the variable controlled electric
    • G—PHYSICS
    • G21—NUCLEAR PHYSICS; NUCLEAR ENGINEERING
    • G21C—NUCLEAR REACTORS
    • G21C17/00—Monitoring; Testing ; Maintaining
    • G—PHYSICS
    • G21—NUCLEAR PHYSICS; NUCLEAR ENGINEERING
    • G21D—NUCLEAR POWER PLANT
    • G21D3/00—Control of nuclear power plant
    • G21D3/08—Regulation of any parameters in the plant
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E30/00—Energy generation of nuclear origin
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E30/00—Energy generation of nuclear origin
    • Y02E30/30—Nuclear fission reactors

Definitions

  • the invention relates to a method for monitoring the operational mode of operation and the improved state diagnosis of stochastic processes, such as the processes in nuclear reactors.
  • the energy-generating process in the nuclear reactor is stochastically based on the statistical nature of nuclear fission. This process is influenced by a feedback system of the process variables neutron flow, temperature and pressure.
  • the process variables themselves show statistical fluctuations and thus represent sources of noise.
  • the process variables neutron flux, temperature and pressure are measured and evaluated for process monitoring and process control in a nuclear power plant. Only these signals are available for the diagnosis and status monitoring of the processes in the reactor core.
  • ERS ⁇ TZBL ⁇ rT (RULE 26) cycle changes the boron concentration in the reactor and thus the reactivity coefficient of the coolant temperature. The result is a dynamic increase in neutron flux noise.
  • the method of statistical parameter modeling described in the invention enables the broadband process noise to be separated from the measured overall signal.
  • the parameters of the statistical model from the process signal and from the calculated statistical functions are determined using recursive algorithms and used as filter coefficients.
  • the measured signals can be filtered on-line in the time domain and the broadband noise component can be separated.
  • This method can also be used for filtering signals with superimposed noise in the area outside of nuclear energy.
  • the separated broadband noise component can be used for diagnostic purposes.
  • the dynamic increase of the separated broadband noise component can be used for diagnostic purposes.
  • EBS ⁇ TZBLA ⁇ (REGEL26)
  • Neutron flux noise over the fuel element cycle can be monitored using characteristic parameters on the basis of the model parameters determined.
  • the residual function represents the signal filtered via the parameter model.
  • This signal contains the deterministic fluctuation components and is used for the vibration diagnosis. With the help of multivariate analysis, the influences of the process variables and their fluctuations on the individual signal can be separated.
  • the calculation of the transfer functions between the process variables neutron flux and temperature enables the dynamic changes in important reactor parameters, such as the moderator-temperature coefficient of reactivity, to be monitored, and the detection of process anomalies, e.g. in the reactor core, directly from the fluctuation signals.
  • FIGS. 1-3 show the auto power density spectra of the AR residual of the excore neutron flux signal X10 in a linear representation and FIGS. 4-6 auto power density spectra of the excore neutron flux signal X10 and the AR residual.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Plasma & Fusion (AREA)
  • High Energy & Nuclear Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • Monitoring And Testing Of Nuclear Reactors (AREA)

Abstract

L'invention concerne un procédé pour contrôler la fiabilité de fonctionnement et améliorer le diagnostic d'état de processus stochastiques contrôlés, notamment du processus de production d'énergie dans des réacteurs nucléaires, à l'aide de signaux de processus mesurés avec des capteurs appropriés (détecteurs), par exemple le flux neutronique, la température et la pression, y compris les composantes constantes desdites valeurs (valeurs de processus) et les composantes fluctuantes (bruit de processus). Plus particulièrement, des mesures et des analyses des signaux de processus émanant du processus stochastique sont utilisés pour calculer des valeurs caractéristiques sur la base de méthodes statistiques, à l'aide de méthodes d'estimation de paramètres statistiques de l'analyse séquentielle; les variations des paramètres de modèle calculés (vecteurs caractéristiques) sont évaluées en vue du contrôle et du diagnostic des composantes fluctuantes à large bande dans la plage de fréquence à l'aide de valeurs caractéristiques telles que la fonction de réponse impulsionnelle. La fonction résiduelle calculée dans la plage de temps et le spectre de la puissance volumique du signal résiduel sont utilisés pour améliorer le diagnostic des composantes fluctantes à bande étroite dans la plage de fréquence, telles que les oscillations certaines, et, à l'aide de modèles paramétriques à variables multiples, l'incidence des fluctuations des valeurs de processus d'un vecteur de variable de processus particulier sur le signal individuel mesuré fait l'objet d'une séparation à des fins de surveillance et, à l'aide de modèles paramétriques à variables multiples, les fonctions de transfert des signaux et du système ainsi que des facteurs, favorisant les sources de signaux et de bruit, relatifs aux signaux d'un vecteur de variable de processus mesuré sont calculés et utilisés pour diagnostiquer les caractéristiques du processus, notamment dans des systèmes à rétroaction comme ceux d'un réacteur nucléaire.
PCT/EP1996/001998 1995-05-10 1996-05-10 Procede pour controler l'etat de processus dynamiques de bruit Ceased WO1996035981A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE19517104A DE19517104A1 (de) 1995-05-10 1995-05-10 Verfahren zur Zustandsüberwachung dynamischer Rauschprozesse
DE19517104.7 1995-05-10

Publications (1)

Publication Number Publication Date
WO1996035981A1 true WO1996035981A1 (fr) 1996-11-14

Family

ID=7761545

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP1996/001998 Ceased WO1996035981A1 (fr) 1995-05-10 1996-05-10 Procede pour controler l'etat de processus dynamiques de bruit

Country Status (2)

Country Link
DE (1) DE19517104A1 (fr)
WO (1) WO1996035981A1 (fr)

Cited By (1)

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CN117109953A (zh) * 2023-10-16 2023-11-24 唐智科技湖南发展有限公司 一种列车的声振协同诊断方法、系统、装置及介质

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DE19635033A1 (de) * 1996-08-29 1998-03-12 Siemens Ag Verfahren zur Analyse eines Prozeßzustandes einer technischen Anlage
DE19732046A1 (de) * 1997-07-25 1999-01-28 Abb Patent Gmbh Prozeßdiagnosesystem und Verfahren zur Diagnose von Vorgängen und Zuständen eines technischen Prozesses
DE19737404A1 (de) * 1997-08-27 1999-03-11 Siemens Ag Verfahren zur zerstörungsfreien Prüfung der Störfallfestigkeit einer elektrischen Komponente einer Kernkraftanlage
DE10044402A1 (de) * 2000-09-08 2002-04-04 Tobias P Kurpjuhn Verfahren zur Verbesserung der Genauigkeit von Parameterschätzverfahren
FR2818427B1 (fr) * 2000-12-15 2003-03-14 Framatome Anp Procede de determination du temps de doublement d'un flux neutronique dans le coeur d'un reacteur nucleaire
ES2270281T3 (es) * 2004-06-08 2007-04-01 Electrolux Home Products Corporation N.V. Metodo para automatizar procesos de coccion.

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DE3146374A1 (de) * 1981-11-23 1983-05-26 Interatom Internationale Atomreaktorbau Gmbh, 5060 Bergisch Gladbach Verfahren und anordnung zur feststellung und meldung von kuehlungsstoerungen in reaktorkernen
DE3119045C2 (de) * 1981-05-13 1985-11-14 INTERATOM GmbH, 5060 Bergisch Gladbach Verfahren und Anordnung zur Feststellung und Meldung von Kühlungsstörungen in einem Brennelement eines Reaktorkerns
DE3238522A1 (de) * 1982-10-18 1984-04-19 Interatom Internationale Atomreaktorbau Gmbh, 5060 Bergisch Gladbach Verfahren und vorrichtung zur ueberwachung der reaktivitaetsbilanz des core eines kernreaktors und zur diagnose von reaktivitaetsstoerungen
JPH0625930B2 (ja) * 1985-09-24 1994-04-06 株式会社東芝 プラント診断装置
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EP0516895A1 (fr) * 1991-06-04 1992-12-09 Unilever N.V. Procédé de commande adaptative stochastique d'un processus
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SE509235C2 (sv) * 1993-05-11 1998-12-21 Asea Atom Ab Förfarande för övervakning med avseende på dryout av en kokarreaktor

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Title
O. GLÖCKLER: "Fault detection via sequential ratio test of multivariate autoregressive modeling-based residual time series", SYMPOSIUM ON NUCLEAR REACTOR SURVEILLANCE AND DIAGNOSTICS, vol. 2, 19 May 1991 (1991-05-19) - 24 May 1991 (1991-05-24), KNOXVILLE USA, pages 70/01 - 70/15, XP000601353 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117109953A (zh) * 2023-10-16 2023-11-24 唐智科技湖南发展有限公司 一种列车的声振协同诊断方法、系统、装置及介质
CN117109953B (zh) * 2023-10-16 2024-01-02 唐智科技湖南发展有限公司 一种列车的声振协同诊断方法、系统、装置及介质

Also Published As

Publication number Publication date
DE19517104A1 (de) 1996-11-14

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