{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T20:10:22Z","timestamp":1780431022864,"version":"3.54.1"},"reference-count":23,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T00:00:00Z","timestamp":1771459200000},"content-version":"vor","delay-in-days":49,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006382","name":"Universidad de Oviedo","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006382","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011033","name":"Agencia Estatal de Investigacion","doi-asserted-by":"publisher","award":["PID2021-124383OB-I00"],"award-info":[{"award-number":["PID2021-124383OB-I00"]}],"id":[{"id":"10.13039\/501100011033","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Procedia Computer Science"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1016\/j.procs.2026.02.104","type":"journal-article","created":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T07:18:00Z","timestamp":1774250280000},"page":"627-636","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Low-cost sump pump monitoring for condition-based maintenance"],"prefix":"10.1016","volume":"277","author":[{"given":"Juan C.","family":"Granda","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luis","family":"Magad\u00e1n","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alonso","family":"Men\u00e9ndez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francisco J.","family":"Su\u00e1rez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.procs.2026.02.104_bib1","doi-asserted-by":"crossref","unstructured":"K. G. Subramanian, Indirect effects of the covid-19 pandemic on aquatic environments, in: Environmental Science and Engineering, Vol. Part F2827, Springer, 2024, p. 353\u2013375.","DOI":"10.1007\/978-3-031-50840-0_20"},{"issue":"1","key":"10.1016\/j.procs.2026.02.104_bib2","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1680\/jees.14.00015","article-title":"Early detection of struvite formation in wastewater treatment plants","volume":"10","author":"Fattah","year":"2015","journal-title":"Journal of Environmental Engineering and Science"},{"key":"10.1016\/j.procs.2026.02.104_bib3","doi-asserted-by":"crossref","unstructured":"M. Tiboni, C. Remino, R. Bussola, C. Amici, A review on vibration-based condition monitoring of rotating machinery, Applied Sciences 12 (3) (2022).","DOI":"10.3390\/app12030972"},{"issue":"2","key":"10.1016\/j.procs.2026.02.104_bib4","doi-asserted-by":"crossref","first-page":"159","DOI":"10.24425\/aoa.2023.145234","article-title":"Experimental diagnostic of cavitation flow in the centrifugal pump under various impeller speeds based on acoustic analysis method","volume":"48","author":"Al-Obaidi","year":"2023","journal-title":"Archives of Acoustics"},{"key":"10.1016\/j.procs.2026.02.104_bib5","doi-asserted-by":"crossref","unstructured":"L. Magad\u00e1n, J. Granda, F. Su\u00e1rez, Robust prediction of remaining useful lifetime of bearings using deep learning, Engineering Applications of Artificial Intelligence 130 (2024).","DOI":"10.1016\/j.engappai.2023.107690"},{"key":"10.1016\/j.procs.2026.02.104_bib6","doi-asserted-by":"crossref","first-page":"117289","DOI":"10.1016\/j.apenergy.2021.117289","article-title":"Data analytics and pump control in a wastewater treatment plant","volume":"299","author":"Johnson","year":"2021","journal-title":"Applied Energy"},{"key":"10.1016\/j.procs.2026.02.104_bib7","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/j.promfg.2020.02.057","article-title":"Low-cost real-time monitoring of electric motors for the industry 4.0","volume":"42","author":"Magad\u00e1n","year":"2020","journal-title":"Procedia Manufacturing"},{"key":"10.1016\/j.procs.2026.02.104_bib8","doi-asserted-by":"crossref","unstructured":"L. Magad\u00e1n, F. J. Su\u00e1rez, J. C. Granda, D. F. Garc\u00eda, Real-time monitoring of electric motors for detection of operating anomalies and predictive maintenance, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST 323 LNICST (2020) 301\u2013311.","DOI":"10.1007\/978-3-030-51005-3_25"},{"key":"10.1016\/j.procs.2026.02.104_bib9","doi-asserted-by":"crossref","unstructured":"H. M. Ramos, A. McNabola, P. A. L\u00f3pez-Jim\u00e9nez, M. P\u00e9rez-S\u00e1nchez, Smart water management towards future water sustainable networks, Water 12 (1) (2020).","DOI":"10.3390\/w12010058"},{"key":"10.1016\/j.procs.2026.02.104_bib10","doi-asserted-by":"crossref","unstructured":"R. S. Beebe, Predictive Maintenance of Pumps Using Condition Monitoring, Elsevier, 2004.","DOI":"10.1016\/B978-185617408-4\/50009-7"},{"key":"10.1016\/j.procs.2026.02.104_bib11","doi-asserted-by":"crossref","unstructured":"L. Chen, L. Wei, Y. Wang, J. Wang, W. Li, Monitoring and predictive maintenance of centrifugal pumps based on smart sensors, Sensors 22 (6) (2022).","DOI":"10.3390\/s22062106"},{"issue":"4","key":"10.1016\/j.procs.2026.02.104_bib12","doi-asserted-by":"crossref","first-page":"192","DOI":"10.32620\/reks.2024.4.16","article-title":"Development of remote diagnostic monitoring system for pumping equipment with open architecture","volume":"2024","author":"Savostin","year":"2024","journal-title":"Radioelectronic and Computer Systems"},{"key":"10.1016\/j.procs.2026.02.104_bib13","doi-asserted-by":"crossref","unstructured":"H. Sun, Q. Lan, Q. Si, N. Chen, S. Yuan, Cavitation detection via motor current signal analysis for a centrifugal pump in the pumped storage pump station, Journal of Energy Storage 81 (2024).","DOI":"10.1016\/j.est.2024.110417"},{"issue":"1","key":"10.1016\/j.procs.2026.02.104_bib14","first-page":"16","article-title":"Experimental investigation to utilize low-cost sensors of early cavitation prediction in axial pump based on acoustic and vibration approaches","volume":"18","author":"Al-Obaidi","year":"2025","journal-title":"Journal of Applied Fluid Mechanics"},{"key":"10.1016\/j.procs.2026.02.104_bib15","doi-asserted-by":"crossref","first-page":"71344","DOI":"10.1109\/ACCESS.2022.3187718","article-title":"Review of machine learning based fault detection for centrifugal pump induction motors","volume":"10","author":"Sunal","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.procs.2026.02.104_bib16","doi-asserted-by":"crossref","unstructured":"N. S. Ranawat, J. Prakash, A. Miglani, P. K. Kankar, Performance evaluation of lstm and bi-lstm using non-convolutional features for blockage detection in centrifugal pump, Engineering Applications of Artificial Intelligence 122 (2023).","DOI":"10.1016\/j.engappai.2023.106092"},{"key":"10.1016\/j.procs.2026.02.104_bib17","doi-asserted-by":"crossref","unstructured":"W. Zaman, Z. Ahmad, J.-M. Kim, Fault diagnosis in centrifugal pumps: A dual-scalogram approach with convolution autoencoder and artificial neural network, Sensors 24 (3) (2024).","DOI":"10.3390\/s24030851"},{"issue":"3","key":"10.1016\/j.procs.2026.02.104_bib18","first-page":"346","article-title":"Open storm: A complete framework for sensing and control of urban watersheds","volume":"4","author":"Bartos","year":"2018","journal-title":"Environmental Science:Water Research and Technology"},{"key":"10.1016\/j.procs.2026.02.104_bib19","doi-asserted-by":"crossref","unstructured":"W. Liu, S. He, J. Mou, T. Xue, H. Chen, W. Xiong, Digital twins-based process monitoring for wastewater treatment processes, Reliability Engineering and System Safety 238 (2023).","DOI":"10.1016\/j.ress.2023.109416"},{"issue":"6-7","key":"10.1016\/j.procs.2026.02.104_bib20","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1177\/09544054241249777","article-title":"Automated deployment mechanism of containerized communication micro-services for smart manufacturing applications","volume":"239","author":"Chuang","year":"2025","journal-title":"Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture"},{"key":"10.1016\/j.procs.2026.02.104_bib21","unstructured":"N. O\u2019Leary, D. Conway-Jones, Node-red: Flow-based programming for the internet of things, https:\/\/nodered.org, accessed: 2025-05-17 (2016)."},{"key":"10.1016\/j.procs.2026.02.104_bib22","unstructured":"InfluxData, Influxdb: Open source time series database, https:\/\/www.influxdata.com, accessed: 2025-05-17 (2019)."},{"key":"10.1016\/j.procs.2026.02.104_bib23","unstructured":"T. \u00d6degaard, G. Labs, Grafana: The open observability platform, https:\/\/grafana.com, accessed: 2025-05-17 (2014)."}],"container-title":["Procedia Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877050926002206?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877050926002206?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T19:43:17Z","timestamp":1780429397000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1877050926002206"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":23,"alternative-id":["S1877050926002206"],"URL":"https:\/\/doi.org\/10.1016\/j.procs.2026.02.104","relation":{},"ISSN":["1877-0509"],"issn-type":[{"value":"1877-0509","type":"print"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Low-cost sump pump monitoring for condition-based maintenance","name":"articletitle","label":"Article Title"},{"value":"Procedia Computer Science","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.procs.2026.02.104","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}