Multi-leak diagnosis in pipelines based on Extended Kalman Filter

A model-based approach to detect and isolate non-concurrent multiple leaks in a pipeline is proposed, only using pressure and flow sensors placed at the pipeline ends. The approach relies on a nonlinear modeling derived from Water–Hammer equations, and related Extended Kalman Filters used to estimat...

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Bibliographic Details
Published in:Control engineering practice 2016-04, Vol.49, p.139-148
Main Authors: Delgado-Aguiñaga, J.A., Besançon, G., Begovich, O., Carvajal, J.E.
Format: Article
Language:English
Subjects:
Algorithms
Automatic
Engineering Sciences
Experimental validation
Extended Kalman Filter
Fault detection and isolation
Leaks
Mathematical analysis
Mathematical models
Monitors
Multiple leaks
Nonlinear observer
Pipelines
Strategy
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Summary:A model-based approach to detect and isolate non-concurrent multiple leaks in a pipeline is proposed, only using pressure and flow sensors placed at the pipeline ends. The approach relies on a nonlinear modeling derived from Water–Hammer equations, and related Extended Kalman Filters used to estimate leak coefficients. This extends former results developed for the single leak case, but with the difficulty that the model is modified at each new leak occurrence. A model adaptation strategy is thus proposed, allowing us to monitor indeed each new leak, and no matter where it appears. Experimental results illustrate the performance of the proposed algorithm. •A model adaptation strategy is proposed to isolate non-concurrent multiple leaks.•An approach based on Extended Kalman Filters allows us to isolate leaks as they appear.•Experimental results with real-data are shown through different configurations.
ISSN:0967-0661
1873-6939
DOI:10.1016/j.conengprac.2015.10.008