Vibration Measurement of Wireless Sensor Nodes for Structural Health Monitoring

Sohn, Surgwon; Rim, Seong-Rak; Lee, In Jung

doi:10.14257/astl.2015.98.05

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…Figure 4 shows the Waspmote with the ZigBee module and Waspmote gateway. To investigate a suitability of low-resource wireless sensor node in a SHM, an experimental modal analysis for a cantilevered steel beam is carried out [10]. The frequency response function was performed at the host PC using Smart Office Analyzer software [11] with the 1,024 sample of data.…”

Section: Wireless Sensor Nodementioning

confidence: 99%

A Scheme of Impulse Noise Mitigation for Vibration Measurement Using Wireless Accelerometers

Sohn¹,

Lee²,

Rim³

2015

IJCA

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Section: Wireless Sensor Nodementioning

confidence: 99%

A Scheme of Impulse Noise Mitigation for Vibration Measurement Using Wireless Accelerometers

Sohn¹,

Lee²,

Rim³

2015

IJCA

Self Cite

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“…With the widespread of open-source electronics platforms based on easy-to-use hardware and software, such as Arduino (Arduino, 2018a), the development of low-cost vibration-monitoring systems have been progressively explored. Several works have been conducted with the Arduino platform and commercial low-cost accelerometers, aiming the development of SHM and control systems with diverse capabilities and finalities (Andò, Baglio and Pistorio, 2014;Chacón, Oller, 2016;Peralta et al, 2014;Iacono et al, 2017;Sohn, Rim and Lee, 2015;D'Emilia et al, 2017;Duc, Anh and Dinh, 2017;Patel and Patel, 2017;Varanis, Silva and Mereles, 2018). The commercial MEMS accelerometers used in these researches are: the tri-axial accelerometer ADXL 335, 345 and 350, from Analog Devices; the MPU 6050, from InvenSense, which is an Inertial Measurement Unit (IMU) comprising a tri-axial accelerometer and tri-axial gyroscope; and the triaxial accelerometer MMA 7455L and MMA 7361L, from NXP Semiconductors.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of low-cost MEMS accelerometers for SHM: frequency and damping identification of civil structures

Ribeiro

Lameiras

2019

Lat. Am. j. solids struct.

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Sensing techniques based on accelerometers for modal parameters identification are among the most studied and applied in Structural Health Monitoring of civil structures. The advent of low-cost MEMS accelerometers and open-source electronic platforms, such as Arduino, have facilitated the design of low-cost systems suitable for modal identification, although there is still a lack of studies regarding practical application and comparison of commercially available low-cost accelerometers under SHM conditions. This work presents an experimental performance evaluation of six low-cost MEMS accelerometers for the identification of natural frequencies and damping ratios of a three-storey frame model and a reinforced concrete slab, as well as their noise characteristics. A low-cost Arduino-based data acquisition system was used. The results showed an overall good performance of the MEMS accelerometers, with identified natural frequencies errors within 1.02% and 7.76% of reference values, for the three-storey frame and concrete slab, respectively, and a noise density as low as 108 g/√Hz.

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“…Implementation of the MEMS devices combined with a wireless technology in wireless sensor networks (WSNs) is widely researched in the literature from monitoring processes to energy harvesters [36][37][38][39][40][41][42][43][44][45][46][47][48][49]. This technology has the benefit of avoiding some problems and limitations that one may face due to the use of wired networks.…”

Section: Introductionmentioning

confidence: 99%

MEMS accelerometers for mechanical vibrations analysis: a comprehensive review with applications

Varanis

Silva

Mereles

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

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In this paper, the use of MEMS accelerometers for measuring mechanical vibrations is presented. Also a wide review of the literature is performed by presenting the uses of the MEMS accelerometers in a great number of applications. These sensors are known for their low prices, low power consumption and low sizes, which enhance their use in applications such as energy harvesters, monitoring processes and for educational purposes. In order to propose these sensors for measuring vibrations, a complete evaluation of the MEMS accelerometers was performed by measuring amplitudes and frequencies of oscillations and comparing their dynamic characteristics with other accelerometers with higher precision. Moreover, two experiments were conducted: In the first one, the measurements of the amplitude given by a MEMS and a standard accelerometer while being excited with sinusoidal waves with different frequencies using a vibration exciter were taken and compared. For the second experiment, three MEMS sensors and a piezoelectric accelerometer were used to measure the accelerations of a 3-DOF shear-building excited by an unbalanced DC motor. The signals obtained were compared in the time and frequency domains; for the last case, the wavelet transform, the wavelet coherence and the power spectrum density were used.

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Vibration Measurement of Wireless Sensor Nodes for Structural Health Monitoring

Cited by 4 publications

References 2 publications

A Scheme of Impulse Noise Mitigation for Vibration Measurement Using Wireless Accelerometers

A Scheme of Impulse Noise Mitigation for Vibration Measurement Using Wireless Accelerometers

Evaluation of low-cost MEMS accelerometers for SHM: frequency and damping identification of civil structures

MEMS accelerometers for mechanical vibrations analysis: a comprehensive review with applications

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