Leakage detection and location in gas pipelines through an LPV identification approach

• Type: Article in International Scientific Journal
• Date: 2011

Authors

P. Lopes dos Santos (Author) FEUP; Azevedo Perdicoulis, TP (Author) Other; Jank, G (Author) Other; Ramos, JA (Author) Other; Jorge Martins de Carvalho (Author) FEUP

Journal

Title: Communications in Nonlinear Science and Numerical Simulation

Vol. 16 No. 2

Pages: 4657-4665

ISSN: 1007-5704

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 9 Citations

ISI Web of Science

Scopus - 15 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Process engineering

Other information

Authenticus ID: P-002-JGA

DOI: 10.1016/j.cnsns.2011.03.029

Abstract (EN): A new approach to gas leakage detection in high pressure distribution networks is proposed, where two leakage detectors are modelled as a linear parameter varying (LPV) system whose scheduling signals are, respectively, intake and offtake pressures. Running the two detectors simultaneously allows for leakage location. First, the pipeline is identified from operational data, supplied by REN-Gasodutos and using an LPV systems identification algorithm proposed in [1]. Each leakage detector uses two Kalman filters where the fault is viewed as an augmented state. The first filter estimates the flow using a calculated scheduling signal, assuming that there is no leakage. Therefore it works as a reference. The second one uses a measured scheduling signal and the augmented state is compared with the reference value. Whenever there is a significant difference, a leakage is detected. The effectiveness of this method is illustrated with an example where a mixture of real and simulated data is used.

Language: English

Type (Professor's evaluation): Scientific

Notes: Available online 30 March 2011, http://sd3.myipcn.org/science?_ob=PublicationURL&_tockey=%23TOC%237296%239999%23999999999%2399999%23FLA%23&_cdi=7296&_pubType=J&view=c&_auth=y&_acct=C000063557&_version=1&_urlVersion=0&_userid=4861547&md5=9dda21a546f8e091640796b5f033d060

No. of pages: 9