Beneficial effect of combining similar low-cost accelerometer to improve the overall accuracy and noise density

Autor: Komarizadehasl, Seyedmilad, Alahmad, Ahmad, Lozano Galant, José Antonio, Torralba Mendiola, Víctor, Ramos Schneider, Gonzalo, Turmo Coderque, José
Přispěvatelé: Universitat Politècnica de Catalunya. Doctorat en Enginyeria de la Construcció, Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental, Universitat Politècnica de Catalunya. EC - Enginyeria de la Construcció
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Popis: Structural Health Monitoring applications are receiving more and more attention nowadays. The epidemic problem with these evaluations is their high cost. For applying them to structures/ infrastructures with a low budget of SHM evaluations, low-cost sensors must be taken into account. However, low-cost accelerometers have higher noise density ratios which affect their accuracy and resolution. Using filters or post-processing methods alters the acquired information of the accelerometers. This article aims to enhance the accuracy and resolution of low-cost sensors by improving and controlling the spectral noise level through active noise improvement. This improvement is studied in this paper and supportive laboratory experiments have been illustrated. The authors are indebted to the Spanish Ministry of Economy and Competitiveness for the funding provided through the research project BIA2017-86811-C2-1-R directed by José Turmo and BIA2017-86811-C2-2-R. All these projects are funded with FEDER funds. Authors are also indebted to the Secretaria d' Universitats i Recerca de la Generalitat de Catalunya, Catalunya, Spain for the funding provided through Agaur (2017 SGR 1482). It is also to be noted that funding for this research has been provided for Seyedmilad Komarizadehasl by Spanish Agencia Estatal de Investigación del Ministerio de Ciencia Innovación y Universidades grant and the Fondo Social Europeo grant (PRE2018-083238).
Databáze: OpenAIRE