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1

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 detect acoustic signals generated from PD. F-P sensors with different intrinsic frequencies are fabricated as possible design standards of bandwidth for acoustic detection. PD acoustic signals are detected by these F-P sensors and PZT sensors in the experimental system, in which four typical electrode models are employed. The measured results of frequency performance are analyzed in linear and semilogarithmic coordinates. The results show that F-P sensors can effectively detect PD acoustic emissions in both wideband and narrowband modes. Moreover, F-P sensors achieve a higher sensitivity in the narrowband mode. We propose that intrinsic frequency of the F-P sensor should be designed in the frequency range of 100–170 kHz to obtain maximum sensitivity.
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2

Ozevin, Didem. "MEMS Acoustic Emission Sensors." Applied Sciences 10, no. 24 (December 16, 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 important, as the frequency of AE signal depends on defect modes, constitutive properties and structural composition. This paper summarizes the properties of MEMS AE sensors, their design specifications and applications for detecting the simulated and real AE sources and discusses the future outlook.
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3

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

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4

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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5

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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6

Liu, Fen, Rui Guo, Xiujuan Lin, Xiaofang Zhang, Shifeng Huang, Feng Yang, and Xin Cheng. "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 will cause measurement errors, while the bandwidth of general commercial acoustic emission sensors is relatively narrow. Therefore, a high-sensitivity, low-frequency acoustic emission sensor is proposed, whose bandwidth is almost four times that of commercial sensors. Based on the customized sensor, we quantitatively analyzed the influence of propagation distance on the characteristic parameters of acoustic waves propagating in concrete. The results show that the different propagation modes of acoustic waves in concrete have different attenuation with the propagation distance, related to the position relationship between the acoustic source and the sensor and the propagation path and path quality. This result gives us a better understanding of the propagation mechanism of acoustic emission signals in concrete materials.
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7

Xu, Xiang-Yuan, Hao Ge, Jing Zhao, Zhi-Fei Chen, Jun Zhang, Ming-Hui Lu, Ming Bao, Yan-Feng Chen, and Xiao-Dong Li. "A monolithic three-dimensional thermal convective acoustic vector sensor with acoustic-transparent heat sink." JASA Express Letters 2, no. 4 (April 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 packaged. This work offers a new method for the design of acoustic vector sensors and other thermal convection-based MEMS sensors.
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8

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 (February 1, 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 fiber sensor. It is found, by analyzing the detection mechanism, that the spectral width is proportional to the acoustic impedance of the surrounding medium, and the acoustic interaction between the TR22 mode and the surrounding medium is much weaker than that of the TR21 mode. This provides a theoretical basis for the detection of acoustic signals by fiber optic sensors.
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9

Seong, Ki, Ha Mun, Dong Shin, Jong Kim, Hideko Nakajima, Sunil Puria, and Jin-Ho Cho. "A Vibro-Acoustic Hybrid Implantable Microphone for Middle Ear Hearing Aids and Cochlear Implants." Sensors 19, no. 5 (March 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 the middle ear cavity. The fabricated sensor was implanted into a human temporal bone and the noise level and sensitivity were measured. From the experimental results, it is shown that the proposed method is able to provide a wider-frequency band than conventional implantable acoustic sensors.
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10

Costello, Benedict J., Stuart W. Wenzel, and Richard M. White. "Acoustic Chemical Sensors." Science 251, no. 4999 (March 15, 1991): 1372. http://dx.doi.org/10.1126/science.251.4999.1372.a.

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11

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

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12

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

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13

COSTELLO, B. J., S. W. WENZEL, and R. M. WHITE. "Acoustic Chemical Sensors." Science 251, no. 4999 (March 15, 1991): 1372. http://dx.doi.org/10.1126/science.251.4999.1372.

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14

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

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15

Grate, Jay W., and Gregory C. Frye. "Acoustic Wave Sensors." Sensors Update 2, no. 1 (October 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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16

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 (January 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 that the Monte Carlo method can obtain a more reliable and accurate inclusion interval in the measurement uncertainty evaluation of a surface acoustic wave micro-pressure sensor.
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17

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 (August 19, 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 by identifying the phase angle differences of the TF points. Then, the mixing matrix is estimated by clustering SSPs with a density clustering algorithm. Finally, the transformer acoustic signal is separated from the mixed acoustic signals based on the compressed sensing theory. The results of the simulation and experiment show that the proposed method can separate the transformer acoustic signal from the mixed acoustic signals in the case of underdetermination. Compared with the existing denoising methods of the transformer acoustic signal, the denoising results of the proposed method have less error and distortion. It will provide important data support for the acoustics-based power transformer fault diagnosis.
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18

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 (October 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, with courses and laboratory work drawn principally from the fields of physics and electrical engineering. Subjects covered include waves and oscillations; fundamentals of physical and structural acoustics; the generation, propagation, and reception of sound in the ocean; civilian and military applications of sonar systems; and acoustic signal processing. Topics of recent theses and dissertations include development and field testing of novel sensors for atmospheric and ocean acoustics, modeling and measurements of ambient noise and sound propagation in the ocean, sound scattering in underwater waveguides, acoustic vector sensors and vector field properties, acoustic communications, noise interferometry, time reversal in acoustics, geo-acoustic inversion, acoustic remote sensing of the ocean, and acoustics of autonomous underwater and aerial vehicles.
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19

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 brief. The paper contains a survey of theoretical results and practical applications of the sensors and includes a comprehensive bibliography.
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20

Pegau, W. Scott, Jessica Garron, Leonard Zabilansky, Christopher Bassett, Job Bello, John Bradford, Regina Carns, et al. "Detection of oil in and under ice." International Oil Spill Conference Proceedings 2017, no. 1 (May 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:Acquire acoustic, thermal, optical and radar signatures of oil on, within, and underneath a level sheet of laboratory sea ice.Determine the capabilities of various sensors to detect oil in specific ice environments created in a test tank, including freeze-up, growth and melt.Model the potential performance of the sensors under realistic field conditions using the test data for validation.Recommend the most effective sensor suite of existing sensors for detecting oil in the ice environment. The sensor testing spanned a two-month ice growth phase and a one-month decay/melt period. The growth phase produced an 80 centimeter thick level sheet of salt water ice representative of natural sea ice grown under quiescent conditions. Above-ice sensors included frequency modulated continuous wave radar, ground penetrating radar, laser fluorescence polarization sensor, spectral radiometer, visible and infrared cameras. Below-ice sensors included acoustics (broadband, narrowband, and multibeam sonars), spectral radiometers, cameras, and fluorescence polarization. Measurements of physical and electrical properties of the ice and oil within the ice were provided to optical, acoustic, and radar modelers as inputs into their models. The models were then used to extrapolate the sensors’ laboratory performance to potential performance over a range of field conditions. All selected sensors detected oil under some conditions. The radar systems were the only above-ice sensors capable of detecting oil below or trapped within the ice. Cameras below the ice detected oil at all stages of ice growth, and the acoustic and fluorescence systems detected encapsulated oil through limited amounts of new ice growth beneath the oil. No single sensor detected oil in and below ice under all conditions tested. However, we used the test results to identify suites of sensors that could be deployed today both above and below the ice to detect and map an oil spill within ice covered waters.
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21

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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22

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 (January 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. Therefore, energy efficiency is a main concern in WMSNs. In this paper an energy efficient collaborative mechanism for monitoring is proposed. The proposed scheme employs a mixed random deployment of acoustic and visual sensor nodes. Acoustic sensors detect and localize the occurred event/object(s) in a duty-cycled manner by sampling the received signals and then trigger the visual sensor nodes covering the objects to monitor them. Hence, visual sensors are warily scheduled to be awakened just for monitoring the object(s) detected in their domain, otherwise they save their energy.
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23

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 (September 1, 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 window degrades the sensor's acoustic performance and results in a failure of military operations. In the case of composites composed of sandwich structures located in the central part, the possibility of internal delamination is higher than in a single composite material. Therefore, it is very important to discriminate the presence or absence of internal delamination after producing an acoustic window. This article uses numerical and analytical methods to determine the internal delamination of the acoustic window fabricated with a sandwich structure. In addition, the results were analyzed and compared through ultrasonic measurement and acoustic transmission loss test.
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24

M., Dhanalakshmi, Nagarajan T., and Vijayalakshmi P. "Significant sensors and parameters in assessment of dysarthric speech." Sensor Review 41, no. 3 (July 26, 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 speech. Design/methodology/approach The current work aims to determine significant sensors and parameters associated using motion path and correlation analyzes on the TORGO database of dysarthric speech. Among eight informative sensor channels and six parameters per channel in positional data, the sensors such as tongue middle, back and tip, lower and upper lips and parameters (y, z, φ) are found to contribute significantly toward capturing the articulatory information. Acoustic and positional data analyzes are performed to validate these identified significant sensors. Furthermore, a convolutional neural network-based classifier is developed for both phone-and word-level classification of dysarthric speech using acoustic and positional data. Findings The average phone error rate is observed to be lower, up to 15.54% for positional data when compared with acoustic-only data. Further, word-level classification using a combination of both acoustic and positional information is performed to study that the positional data acquired using significant sensors will boost the performance of classification even for severe dysarthric speakers. Originality/value The proposed work shows that the significant sensors and parameters can be used to assess dysfunctions in dysarthric speech effectively. The articulatory sensor data helps in better assessment than the acoustic data even for severe dysarthric speakers.
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25

Mukhin, Nikolay V. "Microfluidic Acoustic Metamaterial SAW Based Sensor." Journal of the Russian Universities. Radioelectronics 22, no. 4 (October 1, 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 starting point of a new class of microsensor. It measures volumetric properties of liquid analytes in a cavity, not interfacial properties to some artificial sensor surface as the majority of classical chemical and biochemical sensors.Objective. The purpose of the work is to find solutions to overcome SAW-based liquid sensors limitations and the developing of a new sensor that uses acoustic measurements and includes a SAW device and acoustic metamaterial.Materials and methods. A theoretical analysis of sensor structure was carried out on the basis of numerical simulation using COMSOL Multiphysics software. Lithium niobate (LiNbO3) 127.86° Y-cut with wave propagation in the X direction was chosen as a substrate material. Microfluidic structure was designed as a set of rectangular shape channels. A method for measuring volumetric properties of liquids, based on SAW based fluid sensor concept, comprising the steps of: (a) providing sensor structure with the key elements: a SAW resonator, a high-Q set of liquid-filled cavities and intermediate layer with artificial elastic properties between them; (b) measuring of resonance frequency shift, associated with the resonance in liquid-filled cavity, in the response of weakly coupled resonators of SAW resonator loaded by periodic microfluidic structure; (c) determination of volumetric properties of the fluid on the basis of a certain relationship between the speed of sound in liquid, the resonant frequency of the set of liquid-filled cavities, and the geometry design of the cavity.Results. The new sensor approach is introduced. The eigenmodes of the sensor structure with a liquid analyte are carried out. The characteristic of sensor structure is determined. The key elements of introduced microfluidic sensor are a SAW structure, an acoustic metamaterial with a periodic set of microfluidic channels. The SAW device acts as electromechanical transducer. It excites surface waves propagating in the X direction lengthwise the periodic structure and detects the acoustic load generated by the microfluidic structure resonator. The origin of the sensor signal is a small frequency change caused by small variations of acoustic properties of the analyte within the set of microfluidic channels.Conclusion. The principle of the new microacoustic sensor, which can become the basis for creating a new class of microfluidic sensors, is shown.
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Gu, Chen, Ulrich Mok, Youssef M. Marzouk, Germán A. Prieto, Farrokh Sheibani, J. Brian Evans, and Bradford H. Hager. "Bayesian waveform-based calibration of high-pressure acoustic emission systems with ball drop measurements." Geophysical Journal International 221, no. 1 (December 18, 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. Uncertainty in the sensor transfer functions is quantified using a waveform-based Bayesian approach. The quantification of in situ sensor transfer functions makes it possible to apply full waveform analysis for acoustic emissions at high pressures.
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27

Ono, Kanji. "Rayleigh Wave Calibration of Acoustic Emission Sensors and Ultrasonic Transducers." Sensors 19, no. 14 (July 16, 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 test was determined over the range of frequency from 22 kHz to 2 MHz. Results were compared to the sensitivities to normally incident waves (NW) and to other guided waves (GW). It was found that (1) NW sensitivities are always higher than RW sensitivities, (2) differences between NW and RW receiving sensitivities are dependent on frequency and sensor size, (3) most sensors show comparable RW and GW receiving sensitivities, especially those of commonly used AE sensors, and (4) the receiving sensitivities of small aperture (1 mm diameter) sensors behave differently from larger sensors.
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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 (January 13, 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 conventional acoustic source localization technique is not very accurate for source localization on cylindrical container surfaces. Then, the L-shaped sensor cluster technique is applied to the cylindrical surface of the pressure vessel, and the experimental results prove the applicability of using this technique. Finally, the arbitrary triangle-shaped sensor clusters are attached to the surface of the cylindrical structure to locate the acoustic source. The experimental results show that the two acoustic source localization techniques using sensor clusters can be used to monitor the location of acoustic sources on the surface of anisotropic cylindrical vessels, using a small number of sensors. The arbitrarily triangle-shaped sensors can be arbitrarily placed in a cluster on the surface of the cylindrical vessel. The results presented in this paper provide a theoretical and experimental basis for the surface acoustic source localization method for a cylindrical pressure vessel and lay a theoretical foundation for its application.
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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 (July 8, 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 component of the acoustic pressure signal only and does not require calibration. The proposed sensing strategy has been successfully implemented on an in-house fabricated SAW-IDT sensor and a variable capacitor which mimics the impedance change of a capacitive microphone. Wireless telemetry distances of up to 5 centimeters have been achieved. A silicon MEMS microphone which will be used with the SAW-IDT device is being microfabricated and tested. The complete passive wireless sensor package will include the MEMS microphone wire-bonded on the SAW substrate and interrogated through an on-board antenna. This work on acoustic sensors breaks new ground by introducing high frequency (i.e., audio frequencies) sensor measurement utilizing SAW-IDT sensors. The developed sensors can be used for wireless monitoring of body sounds in a number of different applications, including monitoring breathing sounds in apnea patients, monitoring chest sounds after cardiac surgery, and for feedback sensing in compression (HFCC) vests used for respiratory ventilation. Another promising application is monitoring chest sounds in neonatal care units where the miniature sensors will minimize discomfort for the newborns.
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Chikai, Manabu, Ayuko Kamiyanagi, Kenta Kimura, Yoshikazu Seki, Hiroshi Endo, Yuka Sumita, Hisashi Taniguchi, and Shuichi Ino. "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 (March 15, 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 were subjected to spectral analysis using the wavelet transformation, and a comparison was performed between the measurable ranges of the acoustic signals obtained by the AE and the acoustic sensors. The results from the wavelet transformation of the acoustic signals obtained by the AE sensor indicated that acoustic signals generated during swallowing contained frequency information of 3 kHz and higher, which were not measurable with the acoustic sensor used in the experiment. In addition, we proposed a method of evaluating swallowing sounds using a novel approach based on the probability distribution. From the analysis results, it was found that the distance between the theoretical values and the measured values has a high correlation with the sample viscosity. Furthermore, it was found that the data measured with the AE sensor more sensitively reflected the difference in the sample viscosity. We were thus able to demonstrate the possibility of evaluating the swallowing function via the proposed method.
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31

Oh, Won-Geun. "A Fault Detection Scheme in Acoustic Sensor Systems Using Multiple Acoustic Sensors." Journal of the Korea institute of electronic communication sciences 11, no. 2 (February 25, 2016): 203–8. http://dx.doi.org/10.13067/jkiecs.2016.11.2.203.

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32

Shiokawa, Showko, and Jun Kondoh. "Surface Acoustic Wave Sensors." Japanese Journal of Applied Physics 43, no. 5B (May 28, 2004): 2799–802. http://dx.doi.org/10.1143/jjap.43.2799.

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33

Drafts, B. "Acoustic wave technology sensors." IEEE Transactions on Microwave Theory and Techniques 49, no. 4 (April 2001): 795–802. http://dx.doi.org/10.1109/22.915466.

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34

Zipser, L. "Fluidic-acoustic gas sensors." Sensors and Actuators B: Chemical 7, no. 1-3 (March 1992): 592–95. http://dx.doi.org/10.1016/0925-4005(92)80370-d.

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35

Cheeke, J. D. N., and Z. Wang. "Acoustic wave gas sensors." Sensors and Actuators B: Chemical 59, no. 2-3 (October 1999): 146–53. http://dx.doi.org/10.1016/s0925-4005(99)00212-9.

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36

Sinha, Bikash K., and Michel Gouilloud. "Surface acoustic wave sensors." Journal of the Acoustical Society of America 78, no. 5 (November 1985): 1932. http://dx.doi.org/10.1121/1.392695.

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37

Sun, Yanming, Zhe Dong, Zhezhe Ding, Neng Wang, Lei Sun, Heming Wei, and Guo Ping Wang. "Carbon Nanocoils and Polyvinyl Alcohol Composite Films for Fiber-Optic Fabry–Perot Acoustic Sensors." Coatings 12, no. 10 (October 21, 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 acoustic wave pressure response of the sensor was 1.89 V/Pa at 16.2 kHz, which was relatively higher than that of devices with pure polymer films. Additionally, the sensor had a broadband frequency response from 2 to 10 kHz. The results indicate that the proposed composite film acoustic sensor is suitable for low-frequency acoustic sensing, which lays the foundation for the extended application of functional sensors based on CNCs.
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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 structural design of acoustic vector sensor could reduce the adverse impact of suspending elastic suspension elements repeatedly and improve the reliability of acoustic vector sensor.
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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 coordinate. The horizontal coordinate of location line of the different sensors is the real wave speed of acoustic emission events. This method has lower computational complexity, which can overcome the influence on acoustic emission location which wave speed setting error brings, having some practical value in Engineering.
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40

NAUMANN, C., G. ANTON, K. GRAF, J. HÖSSL, A. KAPPES, T. KARG, U. KATZ, R. LAHMANN, and K. SALOMON. "DEVELOPMENT OF ACOUSTIC SENSORS FOR THE ANTARES EXPERIMENT." International Journal of Modern Physics A 21, supp01 (July 2006): 92–96. http://dx.doi.org/10.1142/s0217751x06033428.

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In order to study the possibility of acoustic detection of ultra-high energy neutrinos in water, our group is planning to deploy and operate an array of acoustic sensors using the ANTARES Neutrino telescope in the Mediterranean Sea. Therefore, acoustic sensor hardware has to be developed which is both capable of operation under the hostile conditions of the deep sea and at the same time provides the high sensitivity necessary to detect the weak pressure signals resulting from the neutrinos interaction in water. In this paper, two different approaches to building such sensors, as well as performance studies in the laboratory and in situ, are presented.
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Länge, Kerstin. "Bulk and Surface Acoustic Wave Sensor Arrays for Multi-Analyte Detection: A Review." Sensors 19, no. 24 (December 6, 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 the evaluation of the resulting signal patterns allows qualitative and quantitative characterization of the sample. Virtual sensor arrays utilize only one sensor but combine it with enhanced signal evaluation methods or preceding sample separation, which results in similar results as obtained with multi-sensor arrays. Both array types have shown to be promising with regard to system integration and low costs. This review discusses principles and design considerations for acoustic multi-sensor and virtual sensor arrays and outlines the use of these arrays in multi-analyte detection applications, focusing mainly on developments of the past decade.
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42

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 detecting machining faults in comparison to a single sensor using the suggested approach.
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43

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 (May 1, 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 of particulate materials. This work investigates the responses of two commercially available ADVs to changes in mass concentrations of particles. A careful laboratory characterization of each sensor’s response to concentrations of three different size classes of polymer beads is evaluated and compared with the predicted response from acoustic scattering theory. Within uncertainties, experimental results are shown to agree with theory and these results demonstrate that, if the basic acoustic properties of the scatterers are known or if a local, vicarious calibration is performed, then ADV-type sensors can provide a robust estimate of particle concentrations from the measured acoustic return.
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44

Sha, Fei, Dong Yu Xu, Shi Feng Huang, and Xin Cheng. "Concrete Damage Detection Based on Embedded Acoustic Emission Sensors." Applied Mechanics and Materials 351-352 (August 2013): 1222–25. http://dx.doi.org/10.4028/www.scientific.net/amm.351-352.1222.

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A new kind of embedded acoustic emission (AE) sensor has been developed and it was made up of 1-3 cement-based piezoelectric composites. Compared with those sensors which were traditionally affixed to concrete structures, the embedded AE sensors could minimize the leakage of AE hits and improve the accuracy of data acquisition. The AE thresholds of the sensors are 45dB and they can perceive the position of source and crack extending areas in concrete. Because of the low operation cost, the admirable compatibility with concrete and the excellent durability, the sensors could be widely used in the monitoring of civil structure.
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45

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 (December 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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46

Lowe, K. Todd, Raul Otero, and Wing Ng. "In-flight thrust monitoring: an acoustics-based approach." Aircraft Engineering and Aerospace Technology 92, no. 1 (January 6, 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 at Virginia Tech, showing the difference in acoustics-measured thrust and nozzle thrust found by integrating thermocouple and Kiel probe measurements to be less than 6 per cent at the maximum fan speed examined. Practical implications Measuring accurate thrust values in flight will prove immediately valuable for installed thrust validation and engine health monitoring. Acoustics-based methodologies are attractive because of the robustness and low cost of sensors and sources. The value of in-flight thrust measurements, along with the benefits of acoustic approaches, makes the current topic of great interest for further development. Originality/value This paper presents unique applications of a time-of-flight acoustic thrust sensor, while providing an original assessment of technological challenges involved with the progression of the technique for in-flight measurements.
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Xu, Sheng, Rui Zhang, Junpeng Cui, Tao Liu, Xiuli Sui, Meng Han, Fu Zheng, and Xiaoguang Hu. "Surface Acoustic Wave DMMP Gas Sensor with a Porous Graphene/PVDF Molecularly Imprinted Sensing Membrane." Micromachines 12, no. 5 (May 12, 2021): 552. http://dx.doi.org/10.3390/mi12050552.

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In this paper, surface acoustic wave (SAW) sensors containing porous graphene/PVDF (polyvinylidene fluoride) molecularly imprinted sensitive membrane for DMMP gas detection were investigated. A 433 MHz ST-cut quartz SAW resonator was used to convert gas concentration changes into frequency shifts by the sensors. The porous graphene/PVDF film was fabricated on the sensor’s surface by using the tape-casting method. DMMP molecules were adsorbed on the porous structure sensing film prepared by the 2-step method to achieve the specific recognition effect. The sensitivity of the sensor could reach −1.407 kHz·ppm−1. The response time and recovery time of the SAW sensor with porous graphene/PVDF sensing membrane were about 4.5 s and 5.8 s at the concentration of 10 ppm, respectively. The sensor has good anti-interference ability to most gases in the air.
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48

Zhou, Chenzheng, Junbin Zang, Chenyang Xue, Yuexuan Ma, Xiaoqiang Hua, Rui Gao, Zengxing Zhang, Bo Li, and Zhidong Zhang. "Design of a Novel Medical Acoustic Sensor Based on MEMS Bionic Fish Ear Structure." Micromachines 13, no. 2 (January 22, 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) technology, and is encapsulated in castor oil, which has an acoustic impedance close to the human body. An electroacoustic test platform is built to test the performance of the sensor. The results showed that the MEMS bionic sensor operated with a bandwidth of 20–2k Hz. Its linearity and frequency responses were better than the electret microphone. In addition, the sensor was tested for heart sound collection application to verify its effectiveness. The proposed sensor can be effectively used in clinical auscultation and has a high SNR.
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Hejczyk, Tomasz, Marian Urbańczyk, Tadeusz Pustelny, and Wiesław Jakubik. "Numerical and Experimental Analysis of the Response of a SAW Structure with WO3 Layers on Action of Carbon Monoxide." Archives of Acoustics 40, no. 1 (March 1, 2015): 19–24. http://dx.doi.org/10.1515/aoa-2015-0003.

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Abstract The paper presents the results of an analysis of gaseous sensors based on a surface acoustic wave (SAW) by means of the equivalent model theory. The applied theory analyzes the response of the SAW sensor in the steady state affected by carbon monoxide (CO) in air. A thin layer of WO3 has been used as a sensor layer. The acoustical replacing impedance of the sensor layer was used, which takes into account the profile of the concentration of gas molecules in the layer. Thanks to implementing the Ingebrigtsen equation, the authors determined analytical expressions for the relative changes of the velocity of the surface acoustic wave in the steady state. The results of the analysis have shown that there is an optimum thickness of the layer of CO sensor at which the acoustoelectric effect (manifested here as a change in the acoustic wave velocity) is at its highest. The theoretical results were verified and confirmed experimentally
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Branda, Eric, and Tobias Wurzbacher. "Motion Sensors in Automatic Steering of Hearing Aids." Seminars in Hearing 42, no. 03 (August 2021): 237–47. http://dx.doi.org/10.1055/s-0041-1735132.

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AbstractA requirement for modern hearing aids is to evaluate a listening environment for the user and automatically apply appropriate gain and feature settings for optimal hearing in that listening environment. This has been predominantly achieved by the hearing aids' acoustic sensors, which measure acoustic characteristics such as the amplitude and modulation of the incoming sound sources. However, acoustic information alone is not always sufficient for providing a clear indication of the soundscape and user's listening needs. User activity such as being stationary or being in motion can drastically change these listening needs. Recently, hearing aids have begun utilizing integrated motion sensors to provide further information to the hearing aid's decision-making process when determining the listening environment. Specifically, accelerometer technology has proven to be an appropriate solution for motion sensor integration in hearing aids. Recent investigations have shown benefits with integrated motion sensors for both laboratory and real-world ecological momentary assessment measurements. The combination of acoustic and motion sensors provides the hearing aids with data to better optimize the hearing aid features in anticipation of the hearing aid user's listening needs.
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