Wyniki wyszukiwania dla: DRINKING WATER CONTAMINATIONDRINKING WATER DISTRIBUTION SYSTEMNEURAL NETWORKLVQ CLASSIFIERCONTAMINATION SOURCES IDENTIFICATIONMONITORING STATION LOCATION

• Identification of the Contamination Source Location in the Drinking Water Distribution System Based on the Neural Network Classifier

  Publikacja

  • T. A. Rutkowski

  - IFAC-PapersOnLine - Rok 2018

  The contamination ingression to the Water Distribution System (WDS) may have a major impact on the drinking water consumers health. In the case of the WDS contamination the data from the water quality sensors may be efficiently used for the appropriate disaster management. In this paper the methodology based on the Learning Vector Quantization (LVQ) neural network classifier for the identification of the contamination source location...

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• Water

  Czasopisma

  ISSN: 2073-4441

• Magdalena Gajewska prof. dr hab. inż.

  Osoby

  Katedra Technologii w Inżynierii Środowiska

  Magdalena Gajewska (ur. 1.06.1968 r. w Gdańsku) ukończyła studia w 1993 roku na Wydziale Hydrotechniki Politechniki Gdańskiej.  Jest adiunktem w Katedrze Technologii Wody i Ścieków na Wydziale Inżynierii Lądowej i Środowiska Politechniki Gdańskiej. Doktorat (2001) i habilitacja (2013) w dyscyplinie inżynierii środowiska.  W kadencji 2016–2020 pełni funkcję prodziekana ds. nauki. Specjalizuję się w technologiach związanych z ekoinżynierią:...

• total number and biomass of bacteria in drinking water distribution systems.

  Publikacja

  • A. Sokołowska
  • K. M. Jankowska
  • A. Łuczkiewicz
  • K. Olańczuk-Neyman

  - Rok 2011

  In the vast water supply network using traditional methods of treatment it is often impossible to maintain a constant and acceptable microbiological quality of water. In Poland the main reason of bacterial re-growth is presence of organic matter and nutrients in the circulating water and prolonged water retention in the network systems due to the decrease of water consumption, which has been observed for the last 20 years. In the...

• Robust Monitoring of Water Quality in Drinking Water Distribution System

  Publikacja

  • K. Armiński
  • M. Brdyś

  - Rok 2013

  The paper develops a novel open loop set bounded observer for robust estimation of water quality in DWDS based on the advanced nonlinear quality dynamics model including disinfections by-products (DBPs). The observer utilises a cooperativeness of the quality dynamics model and is computationally efficient, hence applicable to on-line quality monitoring. The simulation results illustrate its good and sustainable performance.

• Grzegorz Boczkaj dr hab. inż.

  Osoby

  Katedra Inżynierii Sanitarnej

• Monitoring of Chlorine Concentration in Drinking Water Distribution Systems Using an Interval Estimator

  Publikacja

  • R. Łangowski
  • M. Brdyś

  - International Journal of Applied Mathematics and Computer Science - Rok 2007

  This paper describes the design of an interval observer for the estimation of unmeasured quality state variables in drinking water distribution systems. The estimator utilizes a set bounded model of uncertainty to produce robust interval bounds on the estimated state variables of the water quality. The bounds are generated by solving two differential equations. Hence the numerical efficiency is sufficient for on-line monitoring...

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• Implementation of integrated control In drinking water distribution systems - IT system proposal

  Publikacja

  • G. Ewald
  • T. A. Rutkowski
  • M. Brdyś

  - Rok 2008

  Implementation of integrated control algorithms requires suitable hardware and software platforms. Proposed solution must allow realizing control and monitoring tasks, while ensuring high reliability and security of processed data. Additionally, the software and hardware solutions must be immune to outside influence. This paper presents an approach to implementation of control systems in drinking water distribution system. Presented...

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• An optimised placement of the hard quality sensors for a robust monitoring of the chlorine concentration in drinking water distribution systems

  Publikacja

  • R. Łangowski
  • M. Brdyś

  - JOURNAL OF PROCESS CONTROL - Rok 2018

  The problem of an optimised placement of the hard quality sensors in drinking water distribution systemsunder several water demand scenarios for a robust monitoring of the chlorine concentration is formulatedin this paper. The optimality is understood as achieving a desired trade off between the sensors and theirmaintenance costs and the accuracy of estimation of the chlorine concentration. The contribution of thiswork is a comprehensive...

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• Kernel PCA in Application to Leakage Detection in Drinking Water Distribution System

  Publikacja

  • A. Nowicki
  • M. Grochowski

  - LECTURE NOTES IN COMPUTER SCIENCE - Rok 2011

  Monitoring plays an important role in advanced control of complex dynamic systems. Precise information about system's behaviour, including faults detection, enables efficient control. Proposed method- Kernel Principal Component Analysis (KPCA), a representative of machine learning, skilfully takes full advantage of the well known PCA method and extends its application to nonlinear case. The paper explains the general idea of KPCA...