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- Title
Influence of Noise in Computer-Vision-Based Measurements on Parameter Identification in Structural Dynamics.
- Authors
Ostrowski, Mariusz; Blachowski, Bartlomiej; Mikułowski, Grzegorz; Jankowski, Łukasz
- Abstract
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.
- Subjects
NOISE measurement; BOLTED joints; PARAMETER identification; HOUSEHOLD electronics; FREQUENCIES of oscillating systems; MEASUREMENT errors; STRUCTURAL dynamics
- Publication
Sensors (14248220), 2023, Vol 23, Issue 1, p291
- ISSN
1424-8220
- Publication type
Article
- DOI
10.3390/s23010291