Real-Time Leak Isolation based on a Fault Model Approach Algorithm in a Water Pipeline Prototype

Padilla-García, Erick Axel; Begovich, O.

doi:10.3182/20120829-3-mx-2028.00085

Cited by 3 publications

(3 citation statements)

References 4 publications

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“…1980-1990 [10,11] 1990-2000 -2000-2010 [12], [14][15][16], [18], [20], [23,24], [35][36][37][38][39] 2010-Up to the present [25,26], [28][29][30][31][32][33][34], [40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55],…”

Section: Period Contributionsmentioning

confidence: 99%

Kalman Filters for Leak Diagnosis in Pipelines: Brief History and Future Research

Torres

Jiménez-Cabas

González

et al. 2020

JMSE

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The purpose of this paper is to provide a structural review of the progress made on the detection and localization of leaks in pipelines by using approaches based on the Kalman filter. To the best of the author’s knowledge, this is the first review on the topic. In particular, it is the first to try to draw the attention of the leak detection community to the important contributions that use the Kalman filter as the core of a computational pipeline monitoring system. Without being exhaustive, the paper gathers the results from different research groups such that these are presented in a unified fashion. For this reason, a classification of the current approaches based on the Kalman filter is proposed. For each of the existing approaches within this classification, the basic concepts, theoretical results, and relations with the other procedures are discussed in detail. The review starts with a short summary of essential ideas about state observers. Then, a brief history of the use of the Kalman filter for diagnosing leaks is described by mentioning the most outstanding approaches. At last, brief discussions of some emerging research problems, such as the leak detection in pipelines transporting heavy oils; the main challenges; and some open issues are addressed.

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Section: Period Contributionsmentioning

confidence: 99%

Kalman Filters for Leak Diagnosis in Pipelines: Brief History and Future Research

Torres

Jiménez-Cabas

González

et al. 2020

JMSE

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show abstract

“…Additionally, this table contains some works that propose methodologies based on the Kalman filter for addressing different problems associated with the pipeline operation monitoring, which do not exactly concern leak or fault detection. 1980-1990 [10], [11] 1990-2000 -2000-2010 [20], [14], [35], [36], [16], [15], [12], [37], [18], [23], [38], [39], [24] 2010-Up to the present [40], [25], [26], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [46], [52][28], [53], [54], [55], [29], [30], [31], [32], [33], [34] In Table 1, we present a taxonomy of CPM systems according mainly to the type of Kalman filter employed in the solution formulation of the leak detection and location. In addition, other parameters are highlighted, such as the fluid involved in the study, the type of leak, either single or multiple leaks, and also the type of validation (in a simulation, in a laboratory or in the field).…”

Section: Brief Historymentioning

confidence: 99%

Kalman Filter for Leak Diagnosis in Pipelines: Brief History and Future Research

Torres¹,

Jiménez-Cabas²,

González³

et al. 2019

Preprint

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The purpose of this paper is to provide a structural review of the progress made on detection and localization of leaks in pipelines by using approaches based on the Kalman filter. This is, to the best of our knowledge, the first review on the t opic. In particular, it is the first to try to draw the attention of the leak detection community to the important contributions that use the Kalman filter as the core of a computational pipeline monitoring system. Without being exhaustive, we try to gather the results from different research groups and present them in a unified fashion. For this reason, we propose a classification of the current approaches based on the Kalman filter. For each of the existing approaches within this classification, the basic concepts, fundamental results, and relations with the other approaches are discussed in detail. The review starts from a short summary of basic concepts about state observers. Then, a brief history of the use of the Kalman filter for diagnosing leaks is described by mentioning the most outstanding approaches. At last, we briefly discuss some emerging research problems, such as the leak detection in pipelines transporting heavy oils, and we discuss the main challenges and some open problems.

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“…In this example, the pipe parameters are taken from an experimental prototype for instance described in [Padilla and Begovich (2012)], and all numerical values are summarized in table 1. Let us then assume that we only measure y = Q out , and that the output pressure H out can be modified as an input u = H out .…”

Section: Illustrative Examplementioning

confidence: 99%

Input selection in observer design for non-uniformly observable systems

Besançon

Scola

Duby

2013

IFAC Proceedings Volumes

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Real-Time Leak Isolation based on a Fault Model Approach Algorithm in a Water Pipeline Prototype

Cited by 3 publications

References 4 publications

Kalman Filters for Leak Diagnosis in Pipelines: Brief History and Future Research

Kalman Filters for Leak Diagnosis in Pipelines: Brief History and Future Research

Kalman Filter for Leak Diagnosis in Pipelines: Brief History and Future Research

Input selection in observer design for non-uniformly observable systems

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