Prediction of Water Pipe Failure Using Fuzzy Inference System

T. Dawood; E. Elwakil; H. M. Novoa; J. F.G. Delgado

doi:10.1007/978-981-19-0511-7_14

Prediction of Water Pipe Failure Using Fuzzy Inference System

T. Dawood, E. Elwakil, H. M. Novoa, J. F.G. Delgado

Departamento Académico de Ingeniería Civil

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Recurrent incidences of pipeline failure bring about serious physical, economical, and environmental consequences. Therefore, developing pragmatic approaches to model the water distribution infrastructure is crucial for preserving these assets. The objective of this paper is to develop a pipe failure prediction model grounded in fuzzy inference system and the probability of failure analysis to estimate the rate of failure in water infrastructure. First, the attributes that contribute to water pipelines deterioration are identified. Second, the fuzzy logic engine is designed to simulate the defined codes and functions. Third, probability of failure schemes are generated to address the uncertainties and predict the risk associated with water pipes’ failure. The developed model was applied to the water network of the city of El Pedregal in Peru. This paper developed an automated tool, expected to improve the quality of decision making, as it can assist water utility managers and infrastructure engineers in optimizing their future plans.

Original language	English
Title of host publication	Proceedings of the Canadian Society of Civil Engineering Annual Conference 2021 - CSCE21 Structures Track Volume 1
Editors	Scott Walbridge, Mazdak Nik-Bakht, Kelvin Tsun Ng, Manas Shome, M. Shahria Alam, Ashraf El Damatty, Gordon Lovegrove
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	159-165
Number of pages	7
ISBN (Print)	9789811905100
DOIs	https://doi.org/10.1007/978-981-19-0511-7_14
State	Published - 2023
Event	Annual Conference of the Canadian Society of Civil Engineering, CSCE 2021 - Virtual, Online Duration: 26 May 2021 → 29 May 2021

Publication series

Name	Lecture Notes in Civil Engineering
Volume	241
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	Annual Conference of the Canadian Society of Civil Engineering, CSCE 2021
City	Virtual, Online
Period	26/05/21 → 29/05/21

Bibliographical note

Funding Information:
This work is supported by the collaboration of the Universidad Nacional de San Agustín (UNSA) in Arequipa, Peru, and Purdue University in Indiana, USA through Discovery Park’s Center for the Environment (C4E).

Publisher Copyright:
© 2023, Canadian Society for Civil Engineering.

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10.1007/978-981-19-0511-7_14

Cite this

Dawood, T., Elwakil, E., Novoa, H. M., & Delgado, J. F. G. (2023). Prediction of Water Pipe Failure Using Fuzzy Inference System. In S. Walbridge, M. Nik-Bakht, K. T. Ng, M. Shome, M. S. Alam, A. El Damatty, & G. Lovegrove (Eds.), Proceedings of the Canadian Society of Civil Engineering Annual Conference 2021 - CSCE21 Structures Track Volume 1 (pp. 159-165). (Lecture Notes in Civil Engineering; Vol. 241). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-0511-7_14

Dawood, T. ; Elwakil, E. ; Novoa, H. M. et al. / Prediction of Water Pipe Failure Using Fuzzy Inference System. Proceedings of the Canadian Society of Civil Engineering Annual Conference 2021 - CSCE21 Structures Track Volume 1. editor / Scott Walbridge ; Mazdak Nik-Bakht ; Kelvin Tsun Ng ; Manas Shome ; M. Shahria Alam ; Ashraf El Damatty ; Gordon Lovegrove. Springer Science and Business Media Deutschland GmbH, 2023. pp. 159-165 (Lecture Notes in Civil Engineering).

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abstract = "Recurrent incidences of pipeline failure bring about serious physical, economical, and environmental consequences. Therefore, developing pragmatic approaches to model the water distribution infrastructure is crucial for preserving these assets. The objective of this paper is to develop a pipe failure prediction model grounded in fuzzy inference system and the probability of failure analysis to estimate the rate of failure in water infrastructure. First, the attributes that contribute to water pipelines deterioration are identified. Second, the fuzzy logic engine is designed to simulate the defined codes and functions. Third, probability of failure schemes are generated to address the uncertainties and predict the risk associated with water pipes{\textquoteright} failure. The developed model was applied to the water network of the city of El Pedregal in Peru. This paper developed an automated tool, expected to improve the quality of decision making, as it can assist water utility managers and infrastructure engineers in optimizing their future plans.",

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Dawood, T, Elwakil, E, Novoa, HM & Delgado, JFG 2023, Prediction of Water Pipe Failure Using Fuzzy Inference System. in S Walbridge, M Nik-Bakht, KT Ng, M Shome, MS Alam, A El Damatty & G Lovegrove (eds), Proceedings of the Canadian Society of Civil Engineering Annual Conference 2021 - CSCE21 Structures Track Volume 1. Lecture Notes in Civil Engineering, vol. 241, Springer Science and Business Media Deutschland GmbH, pp. 159-165, Annual Conference of the Canadian Society of Civil Engineering, CSCE 2021, Virtual, Online, 26/05/21. https://doi.org/10.1007/978-981-19-0511-7_14

Prediction of Water Pipe Failure Using Fuzzy Inference System. / Dawood, T.; Elwakil, E.; Novoa, H. M. et al.

Proceedings of the Canadian Society of Civil Engineering Annual Conference 2021 - CSCE21 Structures Track Volume 1. ed. / Scott Walbridge; Mazdak Nik-Bakht; Kelvin Tsun Ng; Manas Shome; M. Shahria Alam; Ashraf El Damatty; Gordon Lovegrove. Springer Science and Business Media Deutschland GmbH, 2023. p. 159-165 (Lecture Notes in Civil Engineering; Vol. 241).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Dawood T, Elwakil E, Novoa HM, Delgado JFG. Prediction of Water Pipe Failure Using Fuzzy Inference System. In Walbridge S, Nik-Bakht M, Ng KT, Shome M, Alam MS, El Damatty A, Lovegrove G, editors, Proceedings of the Canadian Society of Civil Engineering Annual Conference 2021 - CSCE21 Structures Track Volume 1. Springer Science and Business Media Deutschland GmbH. 2023. p. 159-165. (Lecture Notes in Civil Engineering). doi: 10.1007/978-981-19-0511-7_14

Prediction of Water Pipe Failure Using Fuzzy Inference System

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