Version 1
: Received: 17 September 2019 / Approved: 19 September 2019 / Online: 19 September 2019 (04:21:08 CEST)
How to cite:
Torres, L.; Jiménez-Cabas, J.; González, O.; Molina, L.; López-Estrada, F. Kalman Filter for Leak Diagnosis in Pipelines: Brief History and Future Research. Preprints2019, 2019090217. https://doi.org/10.20944/preprints201909.0217.v1
Torres, L.; Jiménez-Cabas, J.; González, O.; Molina, L.; López-Estrada, F. Kalman Filter for Leak Diagnosis in Pipelines: Brief History and Future Research. Preprints 2019, 2019090217. https://doi.org/10.20944/preprints201909.0217.v1
Torres, L.; Jiménez-Cabas, J.; González, O.; Molina, L.; López-Estrada, F. Kalman Filter for Leak Diagnosis in Pipelines: Brief History and Future Research. Preprints2019, 2019090217. https://doi.org/10.20944/preprints201909.0217.v1
APA Style
Torres, L., Jiménez-Cabas, J., González, O., Molina, L., & López-Estrada, F. (2019). Kalman Filter for Leak Diagnosis in Pipelines: Brief History and Future Research. Preprints. https://doi.org/10.20944/preprints201909.0217.v1
Chicago/Turabian Style
Torres, L., Lazaro Molina and Francisco-Ronay López-Estrada. 2019 "Kalman Filter for Leak Diagnosis in Pipelines: Brief History and Future Research" Preprints. https://doi.org/10.20944/preprints201909.0217.v1
Abstract
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.
Keywords
leak detection; Kalman filter; pipelines
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The commenter has declared there is no conflict of interests.
Comment:
Great work and quite didactic. I would prefer that the final example be written in discrete time considering its implementation with a digital processor. Congrats!
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Commenter:
The commenter has declared there is no conflict of interests.