ArticleSensors (Basel, Switzerland)2021
Characterization of Six-Degree-of-Freedom Sensors for Building Health Monitoring.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- High spatial resolution of the rotational sensor array in the explosion sources localization.Scientific reports · 2026Article
- Improving Clinical Diagnostics and Patient Care through Artificial Intelligence and Biosensor Technologies.ACS omega · 2026Review
- Novel Visualization of Building Earthquake Response Recorded by a Dense Network of Sensors.Sensors (Basel, Switzerland) · 2025Article
- A Review of Rotational Seismology Area of Interest from a Recording and Rotational Sensors Point of View.Sensors (Basel, Switzerland) · 2024Review
- Post-Processing of Raw Data Recorded Continuously Using a FORS-Fibre-Optic Rotational Seismograph.Sensors (Basel, Switzerland) · 2022Article
- Rotation Rate Sensors and Their Applications.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Six-degree-of-freedom (6DoF) sensors measure translation along three axes and rotation around three axes. These collocated measurements make it possible to fully describe building motion without the need for an external reference point. This is an advantage for building health monitoring, which uses interstory drift and building eigenfrequencies to monitor stability. In this paper, IMU50 6DoF sensors are characterized to determine their suitability for building health monitoring. The sensors are calibrated using step table methods and by comparison with earth's rotation and gravity. These methods are found to be comparable. The sensor's self-noise is examined through the power spectral density and the Allan deviation of data recorded in a quiet environment. The effect of temperature variation is tested between 14 and 50 °C. It appears that the self-noise of the rotation components increases while the self-noise of the acceleration components decreases with temperature. The comparison of the sensor self-noise with ambient building signal and higher amplitude shaking shows that these sensors are in general not sensitive enough for ambient signal building health monitoring in the frequency domain, but could be useful for monitoring interstory drift and building motion during, for example, strong earthquake shaking in buildings similar to those examined here.
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Registered trials
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