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Open AccessReview

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

Instituto de Ingeniería, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
Departamento de Ciencia de la Computación y Electrónica, Universidad de la Costa, 080002 Barranquilla, Colombia
Universidad Tecnológica de México Campus Atizapán, Mexico City 04510, Mexico
Universidad Autónoma de Nuevo León, Monterrey 64460, Mexico
Tecnológico Nacional de México/IT Tuxtla Gutiérrez, TURIX-DYNAMICS Diagnosis and Control Group, Carretera Panamericana km 1080, Tuxtla Gutierrez C.P. 29050, Mexico
Authors to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2020, 8(3), 173;
Received: 13 February 2020 / Revised: 28 February 2020 / Accepted: 1 March 2020 / Published: 5 March 2020
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. View Full-Text
Keywords: leak detection; Kalman filter; pipelines leak detection; Kalman filter; pipelines
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MDPI and ACS Style

Torres, L.; Jiménez-Cabas, J.; González, O.; Molina, L.; López-Estrada, F.-R. Kalman Filters for Leak Diagnosis in Pipelines: Brief History and Future Research. J. Mar. Sci. Eng. 2020, 8, 173.

AMA Style

Torres L, Jiménez-Cabas J, González O, Molina L, López-Estrada F-R. Kalman Filters for Leak Diagnosis in Pipelines: Brief History and Future Research. Journal of Marine Science and Engineering. 2020; 8(3):173.

Chicago/Turabian Style

Torres, Lizeth; Jiménez-Cabas, Javier; González, Omar; Molina, Lázaro; López-Estrada, Francisco-Ronay. 2020. "Kalman Filters for Leak Diagnosis in Pipelines: Brief History and Future Research" J. Mar. Sci. Eng. 8, no. 3: 173.

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