Next Article in Journal
Pedestrian Dead Reckoning Based on Motion Mode Recognition Using a Smartphone
Next Article in Special Issue
Ultrasonic Phased Array Sparse-TFM Imaging Based on Sparse Array Optimization and New Edge-Directed Interpolation
Previous Article in Journal
Cooperative Feedback Bits Allocation and Transmit Power Control in Underlay Cognitive Radio Networks
Previous Article in Special Issue
Quantitative Detection of Cracks in Steel Using Eddy Current Pulsed Thermography
 
 
Article

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

1
Department of Innovation Engineering, University of Salento, 73100 Lecce, Italy
2
Department of Mechanics Mathematics & Management, Polytechnic of Bari, 70100 Bari, Italy
3
Faculty of Engineering, Bel Campus University of Technology, 01 Kinshasa, DR Congo
4
Department of Electronics, ISTA University, 01 Kinshasa, DR Congo
5
School of Engineering, University of Basilicata, 85100 Potenza, Italy
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(6), 1810; https://doi.org/10.3390/s18061810
Received: 28 March 2018 / Revised: 24 May 2018 / Accepted: 29 May 2018 / Published: 4 June 2018
(This article belongs to the Special Issue Intelligent Sensing Technologies for Nondestructive Evaluation 2018)
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. View Full-Text
Keywords: detecting leakage in pipelines; revealing cracks in waterworks; pressure sensors; nondestructive tests; structural health monitoring detecting leakage in pipelines; revealing cracks in waterworks; pressure sensors; nondestructive tests; structural health monitoring
Show Figures

Figure 1

MDPI and ACS Style

Lay-Ekuakille, A.; Fabbiano, L.; Vacca, G.; Kitoko, J.K.; Kulapa, P.B.; Telesca, V. A Comparison between the Decimated Padé Approximant and Decimated Signal Diagonalization Methods for Leak Detection in Pipelines Equipped with Pressure Sensors. Sensors 2018, 18, 1810. https://doi.org/10.3390/s18061810

AMA Style

Lay-Ekuakille A, Fabbiano L, Vacca G, Kitoko JK, Kulapa PB, Telesca V. A Comparison between the Decimated Padé Approximant and Decimated Signal Diagonalization Methods for Leak Detection in Pipelines Equipped with Pressure Sensors. Sensors. 2018; 18(6):1810. https://doi.org/10.3390/s18061810

Chicago/Turabian Style

Lay-Ekuakille, Aimé, Laura Fabbiano, Gaetano Vacca, Joël Kidiamboko Kitoko, Patrice Bibala Kulapa, and Vito Telesca. 2018. "A Comparison between the Decimated Padé Approximant and Decimated Signal Diagonalization Methods for Leak Detection in Pipelines Equipped with Pressure Sensors" Sensors 18, no. 6: 1810. https://doi.org/10.3390/s18061810

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop