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Journal articles on the topic 'Acoustic sensors'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

A. Rakeshwar, A. Saravanakumar, and K. Senthilkumar. "Motion Parameter Estimation of Low Flying UAV using Acoustic Sensor." ACS Journal for Science and Engineering 4, no. 1 (2024): 83–88. http://dx.doi.org/10.34293/acsjse.v4i1.107.

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The field of acoustics is emerging as a significant supplementary modality that should be investigated and utilized in the development of intelligence and surveillance systems. These systems often depend on technology that is rooted in the singularity of electromagnetic fields. Acoustic sensors are preferred because of their affordability, robustness, and small size. They are also passive. Furthermore, sound energy can go beyond a line of sight. The current scenario can be used to the detection and localization of sound sources utilizing Unmanned Aerial Vehicle (UAV) and ground-based Acoustic

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2

Chen, Qi-Chao, Wei-Chao Zhang, and Hong Zhao. "Response Bandwidth Design of Fabry-Perot Sensors for Partial Discharge Detection Based on Frequency Analysis." Journal of Sensors 2019 (November 18, 2019): 1–11. http://dx.doi.org/10.1155/2019/1026934.

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The insulation of power equipment can be effectively assessed by analyzing the acoustic signals originated from partial discharges (PD). Fabry-Perot (F-P) sensors are capable of detecting PD acoustic signals. Although the frequency bandwidth of an F-P sensor is mainly referred to conventional piezoelectric transducer (PZT) sensor, it is still doubtful to identify a suitable bandwidth for fiber sensors in detection of PD signals. To achieve a suitable bandwidth for an F-P sensor, the frequency distribution of PD acoustic emission is investigated, and an extrinsic F-P sensor is designed to detec

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Rao, Wei, Yuanqing Li, and Dan Li. "Hybrid T-Shaped Sensor Array Composed of Acoustic Vector Sensors and Scalar Sensors." Electronics 12, no. 8 (2023): 1813. http://dx.doi.org/10.3390/electronics12081813.

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Through the more available acoustic information or the polarization information provided, vector sensor arrays outperform the scalar sensor arrays in accuracy of localization. However, the cost of a vector sensor array is higher than that of a scalar sensor array. To reduce the cost of a two-dimensional (2-D) vector sensor array, a hybrid T-shaped sensor array consisting of two orthogonal uniform linear arrays (ULAs) is proposed, where one ULA is composed of acoustic vector sensors and the other is composed of scalar sensors. By utilizing the cross-correlation tensor between the received signa

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4

Wang, Ning, Hong Wei Quan, and Xiu Yin Xue. "A Method to Multi-Sensor Networking for Target Tracking." Applied Mechanics and Materials 533 (February 2014): 207–10. http://dx.doi.org/10.4028/www.scientific.net/amm.533.207.

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The acoustic sensor networking is an important research topic in multi-sensor target tracking system. An acoustic sensor network consists of multiple acoustic sensors which are located in fixed positions with specific deployment mode. It can improve the robustness and fault-tolerance of the target tracking system, especially when a single or few sensors do not work normally with some faults. This paper discusses the acoustic sensor detection model and gives a method to sensor deployment for target detection in target tracking system.

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Liu, Fen, Rui Guo, Xiujuan Lin, et al. "Influence of Propagation Distance on Characteristic Parameters of Acoustic Emission Signals in Concrete Materials Based on Low-Frequency Sensor." Advances in Civil Engineering 2022 (June 6, 2022): 1–14. http://dx.doi.org/10.1155/2022/7241535.

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Acoustic emission is a nondestructive testing technology based on the propagation of transient elastic waves captured by acoustic emission sensors. The acoustic emission signal depends not only on the distance and quality of the propagation path of the transient elastic wave but also on the sensitivity and frequency bandwidth of the receiving sensor that converts the transient elastic wave into a voltage signal. The frequency range of damage signals in concrete materials is generally in the low-frequency band. If high-frequency sensors are used, the low sensitivity to low-frequency signals wil

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6

Ozevin, Didem. "MEMS Acoustic Emission Sensors." Applied Sciences 10, no. 24 (2020): 8966. http://dx.doi.org/10.3390/app10248966.

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This paper presents a review of state-of-the-art micro-electro-mechanical-systems (MEMS) acoustic emission (AE) sensors. MEMS AE sensors are designed to detect active defects in materials with the transduction mechanisms of piezoresistivity, capacitance or piezoelectricity. The majority of MEMS AE sensors are designed as resonators to improve the signal-to-noise ratio. The fundamental design variables of MEMS AE sensors include resonant frequency, bandwidth/quality factor and sensitivity. Micromachining methods have the flexibility to tune the sensor frequency to a particular range, which is i

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7

M, Meshram Devendra, and Pushpa Mala S. "Acoustic Modality in Passive Detection Technology." Defence Science Journal 75, no. 1 (2025): 10–18. https://doi.org/10.14429/dsj.20038.

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Utilising the acoustic modality for passive detection and localisation of low-flying aircraft and gunshots is vital for border security and situational awareness. This paper presents a comprehensive experimental approach for detecting and estimating the direction of arrival of a single acoustic source using a single vector sensor and two different algorithms: acoustic intensity and velocity covariance. The study includes a thorough comparison of both algorithms for the direction of arrival estimation of a stationary continuous sound source, a hovering drone, and a propeller-driven two-seater m

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8

M, Meshram Devendra, and Pushpa Mala S. "Acoustic Modality in Passive Detection Technology." Defence Science Journal 75, no. 1 (2025): 10–18. https://doi.org/10.14429/dsj.75.20038.

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Utilising the acoustic modality for passive detection and localisation of low-flying aircraft and gunshots is vital for border security and situational awareness. This paper presents a comprehensive experimental approach for detecting and estimating the direction of arrival of a single acoustic source using a single vector sensor and two different algorithms: acoustic intensity and velocity covariance. The study includes a thorough comparison of both algorithms for the direction of arrival estimation of a stationary continuous sound source, a hovering drone, and a propeller-driven two-seater m

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9

Sessler, G. M. "Acoustic sensors." Sensors and Actuators A: Physical 26, no. 1-3 (1991): 323–30. http://dx.doi.org/10.1016/0924-4247(91)87011-q.

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10

Nakamura, Kentaro. "Acoustic Sensors." IEEJ Transactions on Sensors and Micromachines 122, no. 4 (2002): 187–92. http://dx.doi.org/10.1541/ieejsmas.122.187.

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11

Xu, Xiang-Yuan, Hao Ge, Jing Zhao, et al. "A monolithic three-dimensional thermal convective acoustic vector sensor with acoustic-transparent heat sink." JASA Express Letters 2, no. 4 (2022): 044001. http://dx.doi.org/10.1121/10.0010275.

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An acoustic vector sensor can directly detect acoustic particle velocity based on the measured temperature difference between closely spaced heated wires. For the detection of velocity in three dimensions, an integrated three-dimensional (3 D) sensor is desired, but it remains challenging in MEMS (Micro-Electro-Mechanical System) manufacturing. Here, a novel monolithic 3 D acoustic vector sensor is proposed, which is constructed using in-plane distributed wires assembled with acoustically transparent heat sink. The planar MEMS structure of the proposed sensor makes it easy to be fabricated and

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12

Sun, Huojiao, Jie Wang, Zong Xu, Ke Tang, and Wanyi Li. "Transverse vibration modes analysis and acoustic response in optical fibers." AIP Advances 13, no. 2 (2023): 025047. http://dx.doi.org/10.1063/5.0134559.

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Fiber optic sensors are often used as acoustic sensors to detect sound waves because of their apparent advantages, such as anti-electromagnetic interference and strong adaptation to the environment. The transverse vibration mode of the fiber caused by the acoustic wave can be obtained, and the principle of the optical fiber sensor to detect the acoustic wave signal was explored by using a simple model. It is found that the acoustic wave can effectively cause the change in birefringence of the fiber only when the number of azimuthal modes is 2, and the acoustic wave was detected by using a fibe

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13

Feng, Yang, Haoda Yu, Wenbo Liu, et al. "Grooving and Absorption on Substrates to Reduce the Bulk Acoustic Wave for Surface Acoustic Wave Micro-Force Sensors." Micromachines 15, no. 5 (2024): 637. http://dx.doi.org/10.3390/mi15050637.

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Improving measurement accuracy is the core issue with surface acoustic wave (SAW) micro-force sensors. An electrode transducer can stimulate not only the SAW but also the bulk acoustic wave (BAW). A portion of the BAW can be picked up by the receiving transducer, leading to an unwanted or spurious signal. This can harm the device’s frequency response characteristics, thereby potentially reducing the precision of the micro-force sensor’s measurements. This paper examines the influence of anisotropy on wave propagation, and it also performs a phase-matching analysis between interdigital transduc

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14

Firnanda Pristiana Nurmaida, Agus Indra Gunawan, and Raden Sanggar Dewanto. "A Study of Acoustic Parameters of Transformer Oil Based on Its Water Content Utilizing a Single Ultrasonic Sensor." Advances in Technology Innovation 9, no. 3 (2024): 186–96. http://dx.doi.org/10.46604/aiti.2024.13503.

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The health of a transformer is affected by several aspects, including water content in transformer oil. Researchers have introduced various techniques for measuring water content in transformer oil. In the case of acoustical measurement, researchers typically utilize two ultrasonic sensors to detect acoustical parameters. This study proposes a novel technique to characterize transformer oil based on its water content using a single ultrasonic sensor. This technique employs an indirect measurement approach, where a substrate separates the oil from the sensor. The echoes from measurements are ob

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15

Seong, Ki, Ha Mun, Dong Shin, et al. "A Vibro-Acoustic Hybrid Implantable Microphone for Middle Ear Hearing Aids and Cochlear Implants." Sensors 19, no. 5 (2019): 1117. http://dx.doi.org/10.3390/s19051117.

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To develop totally implantable middle ear and cochlear implants, a miniature microphone that is surgically easy to implant and has a high sensitivity in a sufficient range of audio frequencies is needed. Of the various implantable acoustic sensors under development, only micro electro-mechanical system-type acoustic sensors, which attach to the umbo of the tympanic membrane, meet these requirements. We describe a new vibro-acoustic hybrid implantable microphone (VAHIM) that combines acceleration and sound pressure sensors. Each sensor can collect the vibration of the umbo and sound pressure of

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16

Hamamed, Najah, Charfeddine Mechri, Taoufik Mhammedi, et al. "Comparative Study of Leak Detection in PVC Water Pipes Using Ceramic, Polymer, and Surface Acoustic Wave Sensors." Sensors 23, no. 18 (2023): 7717. http://dx.doi.org/10.3390/s23187717.

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The detection and location of pipeline leakage can be deduced from the time arrival leak signals measured by acoustic sensors placed at the pipe. Ongoing research in this field is primarily focused on refining techniques for accurately estimating the time delays. This enhancement predominantly revolves around the application of advanced signal processing methods. Additionally, researchers are actively immersed in the utilization of machine learning approaches on vibro-acoustic data files, to determine the presence or absence of leaks. Less attention has been given to evaluating the sensitivity

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17

Park, Jaehyeon, and Jedo Kim. "Movement tracking using asymmetric impedance meta-surface based on Helmholtz resonator." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 268, no. 4 (2023): 4239–44. http://dx.doi.org/10.3397/in_2023_0599.

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Acoustic sensors are one of the most commonly used sensors for detecting obstacles in mobile robots and vehicles by providing distance information of the obstacles in their path. However, although a single sensor can determine an object's distance, two or more sensors must be used to detect the movement of an object. Here, we propose a method to determine the distance and direction of an object traveling to a single sensor using an asymmetrically formed acoustic field. The acoustic field is formed by impedance-varying acoustic meta-surface using an asymmetric Helmholtz resonator array. We pres

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18

Huang, Jian, Yuanyuan Li, Bei Jiang, and Le Cao. "Analysis of measurement uncertainty of a surface acoustic wave micro-pressure sensor." Measurement and Control 52, no. 1-2 (2019): 116–21. http://dx.doi.org/10.1177/0020294018819554.

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As an important support for test and control projects, sensor’s performance is directly related to the accuracy of the measurement. To fully analyze the sources of measurement uncertainty for a surface acoustic wave micro-pressure sensor, in this study the Monte Carlo method and Guide to the Expression of Uncertainty in Measurement to evaluate measurement uncertainty of sensors are used, the sensing experiment was conducted and the measurement addition model was established. We determined the source of measurement uncertainty for a surface acoustic wave micro-pressure sensor. The results show

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19

Graça, Paula A., José C. Alves, and Bruno M. Ferreira. "Sensor Placement in an Irregular 3D Surface for Improving Localization Accuracy Using a Multi-Objective Memetic Algorithm." Sensors 23, no. 14 (2023): 6316. http://dx.doi.org/10.3390/s23146316.

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Accurate localization is a critical task in underwater navigation. Typical localization methods use a set of acoustic sensors and beacons to estimate relative position, whose geometric configuration has a significant impact on the localization accuracy. Although there is much effort in the literature to define optimal 2D or 3D sensor placement, the optimal sensor placement in irregular and constrained 3D surfaces, such as autonomous underwater vehicles (AUVs) or other structures, is not exploited for improving localization. Additionally, most applications using AUVs employ commercial acoustic

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20

Amirthalingam, Malarkodi, Shweta Lokhande, Thirunavukkarasu Ayyadurai, Latha Ganesan, and Gopu Potty. "Shallow Water Acoustic Vector Sensor Array AutoNomous System (SVAAN) for Coastal Surveillance Applications." Marine Technology Society Journal 57, no. 4 (2023): 15–23. http://dx.doi.org/10.4031/mtsj.57.4.3.

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Abstract Shallow Water Acoustic Vector Sensor Array AutoNomous System (SVAAN) is a passive acoustic monitoring system using vector sensors. Acoustic vector sensors measure acoustic pressure and particle velocity, and an array of such sensors are very useful in underwater source localization. SVAAN is thus developed for surveillance applications in coastal waters and designed for a 100-m depth rating. The main objective of this work is to present SVAAN that is developed as a sea bed mounted system, consisting of two vector sensors and four hydrophones. In addition, an inertial sensor has been i

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21

Wang, Guo, Yibin Wang, Yongzhi Min, and Wu Lei. "Blind Source Separation of Transformer Acoustic Signal Based on Sparse Component Analysis." Energies 15, no. 16 (2022): 6017. http://dx.doi.org/10.3390/en15166017.

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In the acoustics-based power transformer fault diagnosis, a transformer acoustic signal collected by an acoustic sensor is generally mixed with a large number of interference signals. In order to separate transformer acoustic signals from mixed acoustic signals obtained by a small number of sensors, a blind source separation (BSS) method of transformer acoustic signal based on sparse component analysis (SCA) is proposed in this paper. Firstly, the mixed acoustic signals are transformed from time domain to time–frequency (TF) domain, and single source points (SSPs) in the TF plane are extracted

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22

Godin, Oleg A., and Kay L. Gemba. "Graduate programs in physical, engineering, and underwater acoustics at the Naval Postgraduate School." Journal of the Acoustical Society of America 152, no. 4 (2022): A122. http://dx.doi.org/10.1121/10.0015752.

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The Departments of Physics and of Electrical and Computer Engineering at the Naval Postgraduate School offer graduate programs in acoustics leading to MS and PhD degrees in applied physics and engineering acoustics. Engineering acoustics degrees can be completed in either traditional or distance learning modes. The departments also offer stand-alone academic certificate programs in fundamentals of engineering acoustics, underwater acoustics, and sonar system applications, with a set of three certificates leading to a MS degree in engineering acoustics. MS and PhD programs are interdisciplinary

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23

Voinova, Marina V. "On Mass Loading and Dissipation Measured with Acoustic Wave Sensors: A Review." Journal of Sensors 2009 (2009): 1–13. http://dx.doi.org/10.1155/2009/943125.

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We summarize current trends in the analysis of physical properties (surface mass density, viscosity, elasticity, friction, and charge) of various thin films measured with a solid-state sensor oscillating in a gaseous or liquid environment. We cover three different types of mechanically oscillating sensors: the quartz crystal microbalance with dissipation (QCM-D) monitoring, surface acoustic wave (SAW), resonators and magnetoelastic sensors (MESs). The fourth class of novel acoustic wave (AW) mass sensors, namely thin-film bulk acoustic resonators (TFBARs) on vibrating membranes is discussed in

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24

Costello, Benedict J., Stuart W. Wenzel, and Richard M. White. "Acoustic Chemical Sensors." Science 251, no. 4999 (1991): 1372. http://dx.doi.org/10.1126/science.251.4999.1372.a.

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25

Feller, Murray F. "Acoustic flow sensors." Journal of the Acoustical Society of America 77, no. 2 (1985): 776. http://dx.doi.org/10.1121/1.392320.

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26

SESSLER, G. M. "NEW ACOUSTIC SENSORS." Le Journal de Physique IV 02, no. C1 (1992): C1–413—C1–419. http://dx.doi.org/10.1051/jp4:1992189.

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27

COSTELLO, B. J., S. W. WENZEL, and R. M. WHITE. "Acoustic Chemical Sensors." Science 251, no. 4999 (1991): 1372. http://dx.doi.org/10.1126/science.251.4999.1372.

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Sessler, Gerhard M. "Acoustic silicon sensors." Journal of the Acoustical Society of America 95, no. 5 (1994): 2885. http://dx.doi.org/10.1121/1.409402.

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29

Grate, Jay W., and Gregory C. Frye. "Acoustic Wave Sensors." Sensors Update 2, no. 1 (1996): 37–83. http://dx.doi.org/10.1002/1616-8984(199610)2:1<37::aid-seup37>3.0.co;2-f.

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30

Pegau, W. Scott, Jessica Garron, Leonard Zabilansky, et al. "Detection of oil in and under ice." International Oil Spill Conference Proceedings 2017, no. 1 (2017): 1857–76. http://dx.doi.org/10.7901/2169-3358-2017.1.1857.

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ABSTRACT (2017-147) In 2014, researchers from ten organizations came to the U.S. Army Corps of Engineers, Cold Regions Research and Engineering Laboratory (CRREL) in New Hampshire to conduct a first of its kind large-scale experiment aimed at determining current sensor capabilities for detecting oil in and under sea ice. This project was the second phase of the Oil Spill Detection in Low Visibility and Ice research project of the International Association of Oil and Gas Producers (IOGP), Arctic Oil Spill Response Technology - Joint Industry Programme. The objectives of the project were to:Acqu

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31

Alaei, Mohammad, and Jose M. Barcelo-Ordinas. "An Acoustic-Visual Collaborative Hybrid Architecture for Wireless Multimedia Sensor Networks." International Journal of Adaptive, Resilient and Autonomic Systems 5, no. 1 (2014): 49–63. http://dx.doi.org/10.4018/ijaras.2014010104.

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Prolongation of the lifetime has become a key challenge in design and implementation of Wireless Multimedia Sensor Networks (WMSNs). The energy consumed in multimedia sensor nodes is much more than in the scalar sensors; a multimedia sensor captures images or acoustic signals containing a huge amount of data while in the scalar sensors a scalar value is measured (e.g., temperature). On the other hand, given the large amount of data generated by the visual nodes, both processing and transmitting image data are quite costly in terms of energy in comparison with other types of sensor networks. Th

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32

Wang, Qingyi, Yang Zhang, Sizhe Cheng, Xianyang Wang, Shengjun Wu, and Xufeng Liu. "MEMS Acoustic Sensors: Charting the Path from Research to Real-World Applications." Micromachines 16, no. 1 (2024): 43. https://doi.org/10.3390/mi16010043.

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MEMS acoustic sensors are a type of physical quantity sensor based on MEMS manufacturing technology for detecting sound waves. They utilize various sensitive structures such as thin films, cantilever beams, or cilia to collect acoustic energy, and use certain transduction principles to read out the generated strain, thereby obtaining the targeted acoustic signal’s information, such as its intensity, direction, and distribution. Due to their advantages in miniaturization, low power consumption, high precision, high consistency, high repeatability, high reliability, and ease of integration, MEMS

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M., Dhanalakshmi, Nagarajan T., and Vijayalakshmi P. "Significant sensors and parameters in assessment of dysarthric speech." Sensor Review 41, no. 3 (2021): 271–86. http://dx.doi.org/10.1108/sr-01-2021-0004.

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Purpose Dysarthria is a neuromotor speech disorder caused by neuromuscular disturbances that affect one or more articulators resulting in unintelligible speech. Though inter-phoneme articulatory variations are well captured by formant frequency-based acoustic features, these variations are expected to be much higher for dysarthric speakers than normal. These substantial variations can be well captured by placing sensors in appropriate articulatory position. This study focuses to determine a set of articulatory sensors and parameters in order to assess articulatory dysfunctions in dysarthric sp

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34

Gu, Chen, Ulrich Mok, Youssef M. Marzouk, et al. "Bayesian waveform-based calibration of high-pressure acoustic emission systems with ball drop measurements." Geophysical Journal International 221, no. 1 (2019): 20–36. http://dx.doi.org/10.1093/gji/ggz568.

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SUMMARY Acoustic emission (AE) is a widely used technology to study source mechanisms and material properties during high-pressure rock failure experiments. It is important to understand the physical quantities that acoustic emission sensors measure, as well as the response of these sensors as a function of frequency. This study calibrates the newly built AE system in the MIT Rock Physics Laboratory using a ball-bouncing system. Full waveforms of multibounce events due to ball drops are used to infer the transfer function of lead zirconate titanate (PZT) sensors in high pressure environments.

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Fu, Jia, Shenxin Yin, Zhiwen Cui, and Tribikram Kundu. "Experimental Research on Rapid Localization of Acoustic Source in a Cylindrical Shell Structure without Knowledge of the Velocity Profile." Sensors 21, no. 2 (2021): 511. http://dx.doi.org/10.3390/s21020511.

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Acoustic source localization in a large pressure vessel or a storage tank-type cylindrical structure is important in preventing structural failure. However, this can be challenging, especially for cylindrical pressure vessels and tanks that are made of anisotropic materials. The large area of the cylindrical structure often requires a substantial number of sensors to locate the acoustic source. This paper first applies conventional acoustic source localization techniques developed for the isotropic, flat plate-type structures to cylindrical structures. The experimental results show that the co

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36

Dierkes, M., and U. Hilleringmann. "Telemetric surface acoustic wave sensor for humidity." Advances in Radio Science 1 (May 5, 2003): 131–33. http://dx.doi.org/10.5194/ars-1-131-2003.

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Abstract. Surface acoustic wave sensors consist of a piezoelectric substrate with metal interdigital transducers (IDT) on top. The acoustic waves are generated on the surface of the substrate by a radio wave, as it is well known in band pass filters. The devices can be used as wireless telemetric sensors for temperature and humidity, transmitting the sensed signal as a shift of the sensor’s resonance frequency.

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Sezen, A. S., S. Sivaramakrishnan, S. Hur, R. Rajamani, W. Robbins, and B. J. Nelson. "Passive Wireless MEMS Microphones for Biomedical Applications." Journal of Biomechanical Engineering 127, no. 6 (2005): 1030–34. http://dx.doi.org/10.1115/1.2049330.

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This paper introduces passive wireless telemetry based operation for high frequency acoustic sensors. The focus is on the development, fabrication, and evaluation of wireless, batteryless SAW-IDT MEMS microphones for biomedical applications. Due to the absence of batteries, the developed sensors are small and as a result of the batch manufacturing strategy are inexpensive which enables their utilization as disposable sensors. A pulse modulated surface acoustic wave interdigital transducer (SAW-IDT) based sensing strategy has been formulated. The sensing strategy relies on detecting the ac comp

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Lee, C. M., K. S. Jeon, B. G. Jung, Y. M. Lee, and M. W. Kang. "Prediction and measurement of acoustic transmission loss of acoustic window with composite sandwich structure." Noise Control Engineering Journal 69, no. 5 (2021): 422–30. http://dx.doi.org/10.3397/1/376939.

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Underwater acoustic detection sensors are mounted on the outside of the submarine; the acoustic window for protecting these sensors must be structurally robust while also minimizing any deterioration of sensor's sound detection performance. These two conditions are typically satisfied simultaneously by using composite materials with acoustic window materials. However, since such composite material is manufactured by laminating fibers, there is the probability that delamination occurs, in which an air layer is formed inside, due to manufacturing process errors. Delamination inside the acoustic

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Liu, Shuang, Yu Lan, and Qi Li. "Design of Underwater Acoustic Vector Sensor and its Elastic Suspension Element." Applied Mechanics and Materials 713-715 (January 2015): 569–72. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.569.

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Acoustic vector sensor is a kind of inertial sensors. Different from pressure-sensing sensor, it can sense the angle of target under the water. Now most suspension elements are installed on the acoustic vector sensor later. This paper outlines an acoustic vector sensor which is encased in silicon rubber. In this paper, a new structure of acoustic vector sensor is present. The radial stiffness of silicon rubber spring is analyzed by using theory and simulation calculation based on the finite element software ANSYS. At last, the acoustic vector sensor is measured. The results show that the new s

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40

Sun, Yanming, Zhe Dong, Zhezhe Ding, et al. "Carbon Nanocoils and Polyvinyl Alcohol Composite Films for Fiber-Optic Fabry–Perot Acoustic Sensors." Coatings 12, no. 10 (2022): 1599. http://dx.doi.org/10.3390/coatings12101599.

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Carbon nanocoils (CNCs) are widely used in functional devices due to their helical morphology, which can be utilized in the fabrication of functional materials with unique properties. In this study, CNCs/polyvinyl alcohol (PVA) composite films were prepared using an electrostatic spinning method and used to form a diaphragm for Fabry–Perot acoustic sensors. With the addition of CNCs, the fabricated composite film showed enhanced mechanical performance responding to acoustic wave pressure. Considering the optical and mechanical response, the content of CNCs was set as 0.14 wt.%; the highest aco

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Li, Qing, Qi Yin Shi, Zhi Yu Jin, Fan Yang, and Bao Bing Liu. "Study on Self Judgment of Location Lave Speed of Acoustic Emission on Concrete Members." Applied Mechanics and Materials 578-579 (July 2014): 1118–24. http://dx.doi.org/10.4028/www.scientific.net/amm.578-579.1118.

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The wave speed of acoustic emission in the medium is uncertain, which is influenced by the source characteristics and the relative position between the acoustic emission source and the sensors. Due to this difference, the results of TDOA location method determination of wave speed in advance are very discrete. As to liner location ,the more farther the distance between two acoustic emission source sensor are, the more serious the discrete error are. Any of the two sensors, a location line can be obtained by setting the wave speed as a horizontal coordinate and the location as the vertical coor

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Mukhin, Nikolay V. "Microfluidic Acoustic Metamaterial SAW Based Sensor." Journal of the Russian Universities. Radioelectronics 22, no. 4 (2019): 75–81. http://dx.doi.org/10.32603/1993-8985-2019-22-4-75-81.

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Introduction. Microacoustic sensors based on surface acoustic wave (SAW) devices allow the sensor integration into a wafer based microfluidic analytical platforms such as lab-on-a-chip. Currently exist various approaches of application of SAW devices for liquid properties analysis. But this sensors probe only a thin interfacial liquid layer. The motivation to develop the new SAW-based sensor is to overcome this limitation. The new sensor introduced here uses acoustic measurements, including surface acoustic waves (SAW) and acoustic methamaterial sensor approaches. The new sensor can become the

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Ono, Kanji. "Rayleigh Wave Calibration of Acoustic Emission Sensors and Ultrasonic Transducers." Sensors 19, no. 14 (2019): 3129. http://dx.doi.org/10.3390/s19143129.

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Acoustic emission (AE) sensors and ultrasonic transducers were characterized for the detection of Rayleigh waves (RW). Small aperture reference sensors were characterized first using the fracture of glass capillary tubes in combination with a theoretical displacement calculation, which utilized finite element method (FEM) and was verified by laser interferometer. For the calibration of 18 commercial sensors and two piezoceramic disks, a 90° angle beam transducer was used to generate RW pulses on an aluminum transfer block. By a substitution method, RW receiving sensitivity of a sensor under te

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Russo, Clementina R., and Emmanuel S. Boss. "An Evaluation of Acoustic Doppler Velocimeters as Sensors to Obtain the Concentration of Suspended Mass in Water." Journal of Atmospheric and Oceanic Technology 29, no. 5 (2012): 755–61. http://dx.doi.org/10.1175/jtech-d-11-00074.1.

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Abstract During the last two decades, acoustic Doppler velocimeters (ADVs) and other acoustic sensors have been used by researchers in the ocean science community to acquire information on current velocity and turbulence. More recently, acoustic backscatter systems (ABS) and acoustic Doppler current profilers (ADCPs) have been investigated for their use in determining sediment concentrations and particle sizes. Acoustic systems tend to be less prone to biofouling than optical turbidity sensors, and the high-frequency velocity measurements allow for a direct estimation of turbulence by the flux

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Länge, Kerstin. "Bulk and Surface Acoustic Wave Sensor Arrays for Multi-Analyte Detection: A Review." Sensors 19, no. 24 (2019): 5382. http://dx.doi.org/10.3390/s19245382.

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Bulk acoustic wave (BAW) and surface acoustic wave (SAW) sensor devices have successfully been used in a wide variety of gas sensing, liquid sensing, and biosensing applications. Devices include BAW sensors using thickness shear modes and SAW sensors using Rayleigh waves or horizontally polarized shear waves (HPSWs). Analyte specificity and selectivity of the sensors are determined by the sensor coatings. If a group of analytes is to be detected or if only selective coatings (i.e., coatings responding to more than one analyte) are available, the use of multi-sensor arrays is advantageous, as t

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Enns, Y., A. Kazakin, Y. Akulshin, A. Mizerov, and R. Kleimanov. "Analysis of the possibility of creating an acoustic velocity sensor using GaN epitaxial films." Journal of Physics: Conference Series 2086, no. 1 (2021): 012053. http://dx.doi.org/10.1088/1742-6596/2086/1/012053.

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Abstract This paper results in results of analyzing the possibility of creating an acoustic velocity sensor using epitaxial GaN films. Technology for the fabrication of a microelectromechanical acoustic velocity sensor was developed and a prototype of the sensor was produced. The simulation of the characteristics of the obtained acoustic velocity sensors was carried out on the basis of the measured electrical characteristics, where the sensitivity and the directional pattern were determined.

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Chikai, Manabu, Ayuko Kamiyanagi, Kenta Kimura, et al. "Pilot Study on an Acoustic Measurements System of the Swallowing Function Using an Acoustic-Emissions Microphone." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 2 (2017): 293–300. http://dx.doi.org/10.20965/jaciii.2017.p0293.

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The goal of this study is to evaluate the swallowing functions of people with dysphagia using an acoustic microphone sensor. As a basic investigation towards this end, we measured the swallowing sounds using an acoustic emissions microphone sensor (AE sensor), then analyzed the frequency range of the measured signals, and we examined the method for obtaining the necessary information to evaluate the swallowing functions. For the measurement, two types of sensors, i.e., a condenser throat microphone and an AE sensor, were employed to measure the swallowing sounds. The acoustic signals obtained

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Abbas, Jabbar, Amin Al-Habaibeh, and Dai Zhong Su. "Sensor Fusion for Condition Monitoring System of End Milling Operations." Key Engineering Materials 450 (November 2010): 267–70. http://dx.doi.org/10.4028/www.scientific.net/kem.450.267.

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This paper describes the utilisation of multi sensor fusion model using force, vibration, acoustic emission, strain and sound sensors for monitoring tool wear in end milling operations. The paper applies the ASPS approach (Automated Sensor and Signal Processing Selection) method for signal processing and sensor selection [1]. The sensory signals were processed using different signal processing methods to create a wide range of Sensory Characteristic Features (SCFs). The sensitivity of these SCFs to tool wear is investigated. The results indicate that the sensor fusion system is capable of dete

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Zhou, Chenzheng, Junbin Zang, Chenyang Xue, et al. "Design of a Novel Medical Acoustic Sensor Based on MEMS Bionic Fish Ear Structure." Micromachines 13, no. 2 (2022): 163. http://dx.doi.org/10.3390/mi13020163.

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High-performance medical acoustic sensors are essential in medical equipment and diagnosis. Commercially available medical acoustic sensors are capacitive and piezoelectric types. When they are used to detect heart sound signals, there is attenuation and distortion due to the sound transmission between different media. This paper proposes a new bionic acoustic sensor based on the fish ear structure. Through theoretical analysis and finite element simulation, the optimal parameters of the sensitive structure are determined. The sensor is fabricated using microelectromechanical systems (MEMS) te

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Lowe, K. Todd, Raul Otero, and Wing Ng. "In-flight thrust monitoring: an acoustics-based approach." Aircraft Engineering and Aerospace Technology 92, no. 1 (2020): 15–19. http://dx.doi.org/10.1108/aeat-11-2018-0287.

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Purpose The purpose of this paper is to present an acoustics-based method for measuring turbofan nozzle exhaust thrust, while assessing the potential of scaling the methods for in-flight measurements. Design/methodology/approach Although many methods proposed for achieving in-flight thrust measurements involve complicated, sensitive and expense instruments, an acoustics-based approach is discussed that greatly simplifies the technology development pathway to in-flight applications. Findings Results are provided for a minimum set of sensors applied in the exhaust of a research turbofan engine a

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