Pipelines conveying fluids are considered strategic infrastructures to be protected and maintained. They generally serve for transportation of important fluids such as drinkable water, waste water, oil, gas, chemicals, etc. Monitoring and continuous testing, especially on-line, are necessary to assess the condition of pipelines. The paper presents findings related to a comparison between two spectral response algorithms based on the decimated signal diagonalization (DSD) and decimated Padé approximant (DPA) techniques that allow to one to process signals delivered by pressure sensors mounted on an experimental pipeline.

A Comparison between the Decimated Padé Approximant and Decimated Signal Diagonalization Methods for Leak Detection in Pipelines Equipped with Pressure Sensors / Aimé, Lay-Ekuakille; Fabbiano, Laura; Vacca, Gaetano; Kidiamboko Kitoko, Joël; Bibala Kulapa, Patrice; Telesca, Vito. - In: SENSORS. - ISSN 1424-8220. - STAMPA. - 18:6(2018). [10.3390/s18061810]

A Comparison between the Decimated Padé Approximant and Decimated Signal Diagonalization Methods for Leak Detection in Pipelines Equipped with Pressure Sensors

Aimé Lay-Ekuakille;Laura Fabbiano;Gaetano Vacca;
2018-01-01

Abstract

Pipelines conveying fluids are considered strategic infrastructures to be protected and maintained. They generally serve for transportation of important fluids such as drinkable water, waste water, oil, gas, chemicals, etc. Monitoring and continuous testing, especially on-line, are necessary to assess the condition of pipelines. The paper presents findings related to a comparison between two spectral response algorithms based on the decimated signal diagonalization (DSD) and decimated Padé approximant (DPA) techniques that allow to one to process signals delivered by pressure sensors mounted on an experimental pipeline.
2018
http://www.mdpi.com/1424-8220/18/6/1810
A Comparison between the Decimated Padé Approximant and Decimated Signal Diagonalization Methods for Leak Detection in Pipelines Equipped with Pressure Sensors / Aimé, Lay-Ekuakille; Fabbiano, Laura; Vacca, Gaetano; Kidiamboko Kitoko, Joël; Bibala Kulapa, Patrice; Telesca, Vito. - In: SENSORS. - ISSN 1424-8220. - STAMPA. - 18:6(2018). [10.3390/s18061810]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/131152
Citazioni
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 4
social impact