Cargando…
Influence of Noise in Computer-Vision-Based Measurements on Parameter Identification in Structural Dynamics
Nowadays, consumer electronics offer computer-vision-based (CV) measurements of dynamic displacements with some trade-offs between sampling frequency, resolution and low cost of the device. This study considers a consumer-grade smartphone camera based on complementary metal-oxide semiconductor (CMOS...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824230/ https://www.ncbi.nlm.nih.gov/pubmed/36616888 http://dx.doi.org/10.3390/s23010291 |
_version_ | 1784866358663577600 |
---|---|
author | Ostrowski, Mariusz Blachowski, Bartlomiej Mikułowski, Grzegorz Jankowski, Łukasz |
author_facet | Ostrowski, Mariusz Blachowski, Bartlomiej Mikułowski, Grzegorz Jankowski, Łukasz |
author_sort | Ostrowski, Mariusz |
collection | PubMed |
description | Nowadays, consumer electronics offer computer-vision-based (CV) measurements of dynamic displacements with some trade-offs between sampling frequency, resolution and low cost of the device. This study considers a consumer-grade smartphone camera based on complementary metal-oxide semiconductor (CMOS) technology and investigates the influence of its hardware limitations on the estimation of dynamic displacements, modal parameters and stiffness parameters of bolted connections in a laboratory structure. An algorithm that maximizes the zero-normalized cross-correlation function is employed to extract the dynamic displacements. The modal parameters are identified with the stochastic subspace identification method. The stiffness parameters are identified using a model-updating technique based on modal sensitivities. The results are compared with the corresponding data obtained with accelerometers and a laser distance sensor. The CV measurement allows lower-order vibration modes to be identified with a systematic (bias) error that is nearly proportional to the vibration frequency: from 2% for the first mode (9.4 Hz) to 10% for the third mode (71.4 Hz). However, the measurement errors introduced by the smartphone camera have a significantly lower influence on the values of the identified stiffness parameters than the numbers of modes and parameters taken into account. This is due to the bias–variance trade-off. The results show that consumer-grade electronics can be used as a low-cost and easy-to-use measurement tool if lower-order modes are required. |
format | Online Article Text |
id | pubmed-9824230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98242302023-01-08 Influence of Noise in Computer-Vision-Based Measurements on Parameter Identification in Structural Dynamics Ostrowski, Mariusz Blachowski, Bartlomiej Mikułowski, Grzegorz Jankowski, Łukasz Sensors (Basel) Article Nowadays, consumer electronics offer computer-vision-based (CV) measurements of dynamic displacements with some trade-offs between sampling frequency, resolution and low cost of the device. This study considers a consumer-grade smartphone camera based on complementary metal-oxide semiconductor (CMOS) technology and investigates the influence of its hardware limitations on the estimation of dynamic displacements, modal parameters and stiffness parameters of bolted connections in a laboratory structure. An algorithm that maximizes the zero-normalized cross-correlation function is employed to extract the dynamic displacements. The modal parameters are identified with the stochastic subspace identification method. The stiffness parameters are identified using a model-updating technique based on modal sensitivities. The results are compared with the corresponding data obtained with accelerometers and a laser distance sensor. The CV measurement allows lower-order vibration modes to be identified with a systematic (bias) error that is nearly proportional to the vibration frequency: from 2% for the first mode (9.4 Hz) to 10% for the third mode (71.4 Hz). However, the measurement errors introduced by the smartphone camera have a significantly lower influence on the values of the identified stiffness parameters than the numbers of modes and parameters taken into account. This is due to the bias–variance trade-off. The results show that consumer-grade electronics can be used as a low-cost and easy-to-use measurement tool if lower-order modes are required. MDPI 2022-12-27 /pmc/articles/PMC9824230/ /pubmed/36616888 http://dx.doi.org/10.3390/s23010291 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ostrowski, Mariusz Blachowski, Bartlomiej Mikułowski, Grzegorz Jankowski, Łukasz Influence of Noise in Computer-Vision-Based Measurements on Parameter Identification in Structural Dynamics |
title | Influence of Noise in Computer-Vision-Based Measurements on Parameter Identification in Structural Dynamics |
title_full | Influence of Noise in Computer-Vision-Based Measurements on Parameter Identification in Structural Dynamics |
title_fullStr | Influence of Noise in Computer-Vision-Based Measurements on Parameter Identification in Structural Dynamics |
title_full_unstemmed | Influence of Noise in Computer-Vision-Based Measurements on Parameter Identification in Structural Dynamics |
title_short | Influence of Noise in Computer-Vision-Based Measurements on Parameter Identification in Structural Dynamics |
title_sort | influence of noise in computer-vision-based measurements on parameter identification in structural dynamics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824230/ https://www.ncbi.nlm.nih.gov/pubmed/36616888 http://dx.doi.org/10.3390/s23010291 |
work_keys_str_mv | AT ostrowskimariusz influenceofnoiseincomputervisionbasedmeasurementsonparameteridentificationinstructuraldynamics AT blachowskibartlomiej influenceofnoiseincomputervisionbasedmeasurementsonparameteridentificationinstructuraldynamics AT mikułowskigrzegorz influenceofnoiseincomputervisionbasedmeasurementsonparameteridentificationinstructuraldynamics AT jankowskiłukasz influenceofnoiseincomputervisionbasedmeasurementsonparameteridentificationinstructuraldynamics |