Obiekt
Tytuł: Fast leak detection and location of gas pipelines based on an adaptive particle filter
Współtwórca:
Beliczyński, Bartłomiej - red.
Podtytuł:
Intelligent Control and Signal Processing
Tytuł publikacji grupowej:
Abstract:
Leak detection and location play an important role in the management of a pipeline system. Some model-based methods,such as those based on the extended Kalman filter (EKF) or based on the strong tracking filter (STF), have been presentedto solve this problem. But these methods need the nonlinear pipeline model to be linearized. Unfortunately, linearizedtransformations are only reliable if error propagation can be well approximated by a linear function, and this condition doesnot hold for a gas pipeline model. ; This will deteriorate the speed and accuracy of the detection and location. Particle filtersare sequential Monte Carlo methods based on point mass (or ?particle?) representations of probability densities, which canbe applied to estimate states in nonlinear and non-Gaussian systems without linearization. Parameter estimation methods arewidely used in fault detection and diagnosis (FDD), and have been applied to pipeline leak detection and location. However,the standard particle filter algorithm is not applicable to time-varying parameter estimation. ; To solve this problem, artificialnoise has to be added to the parameters, but its variance is difficult to determine. In this paper, we propose an adaptiveparticle filter algorithm, in which the variance of the artificial noise can be adjusted adaptively. This method is applied toleak detection and location of gas pipelines. Simulation results show that fast and accurate leak detection and location canbe achieved using this improved particle filter.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Identyfikator zasobu:
Strony:
Źródło:
AMCS, Volume 15, Number 4 (2005) ; kliknij tutaj, żeby przejść
Jezyk:
Prawa do dysponowania publikacją:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Repozytorium > Jednostki organizacyjne > Wydział Informatyki, Elektrotechniki i Automatyki
- Repozytorium > Typy utworów > Artykuły
- Repozytorium > Czasopisma naukowe i serie wydawnicze UZ > International Journal of Applied Mathematics and Computer Science (AMCS)
- Repozytorium > Czasopisma naukowe i serie wydawnicze UZ > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2005)
Data ostatniej modyfikacji:
2021-09-07
Data dodania obiektu:
2018-08-09
Liczba wyświetleń treści obiektu:
312
Wszystkie dostępne wersje tego obiektu:
https://zbc.uz.zgora.pl/repozytorium/publication/54903
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International Journal of Applied Mathematics and Computer Science (AMCS)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 26 (2016)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 25 (2015)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 24 (2014)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 23 (2013)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 22 (2012)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 21 (2011)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 20 (2010)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 19 (2009)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 18 (2008)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 17 (2007)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 16 (2006)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 15 (2005)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 15, number 1 (2005)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 15, number 2 (2005)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 15, number 3 (2005)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 15, number 4 (2005)
- International Journal of Applied Mathematics and Computer Science (AMCS), volume 15, number 4 (2005) - spis treści
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| Nazwa wydania | Data |
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| Fast leak detection and location of gas pipelines based on an adaptive particle filter | 2021-09-07 |
