• Title/Summary/Keyword: Acoustic sensors

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Development of Waterproof Acoustic Sensor for Shockwave Measurement (탄환 충격파 측정용 방수 음향센서 개발)

  • Hur, Shin;Lee, Duck-Gyu
    • Journal of Sensor Science and Technology
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    • v.28 no.5
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    • pp.318-322
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    • 2019
  • In shooting training, an impact point identification system that uses the impact wave of the bullet to check the impact point in the target plate has been recently used. Acoustic sensors used in these systems must be able to detect shock waves of high sound pressure levels and be both waterproof and dustproof for rainy weather and dusty environments, respectively. In this study, membranes with excellent waterproof, dustproof, and sound transmitting characteristics were selected through a characteristics test; a protection cap was installed to install the selected materials. After coupling the produced protection cap to the acoustic sensor housing, the sensitivity and phase characteristics of the acoustic sensor were checked. Through the waterproof and dustproof test, the performances of its sensitivity and phase characteristics were confirmed. Finally, the normal shockwave of a 5.56 mm diameter bullet was measured using a shockwave detection signal collecting plate equipped with a prototype of the acoustic sensor at a 100 m firing range.

Finite Element Analysis for Acoustic Characteristics of Piezoelectric Underwater Acoustic Sensors (압전 수중음향센서 음향특성의 유한요소해석)

  • 김재환;손선봉;조철희;조치영
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.1
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    • pp.68-76
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    • 2001
  • Sonar is the system that detects objects and finds their location in water by using the echo ranging technique. In order to have excellent performance in variable environment, acoustic characteristics of this system must be analyzed accurately. In this paper, based on the finite element analysis, modeling and analysis of acoustic characteristics of underwater acoustic sensors are preformed. Couplings between piezoelectric and elastic materials, and fluid and structure systems associated with the modeling of piezoelectric underwater acoustic sensors are formulated. In the finite element modeling of unbounded acoustic fluid, IWEE (Infinite Eave Envelop Element) is adopted to take into account the infinite domain. When an incidence wave excites the surface of Tonpilz underwater acoustic sensor, the scattered wave on the sensor is founded by satisfying the radiation condition at the artificial boundary approximately. Based on this scattering analysis, the electrical response of the underwater acoustic sensor under incidence, so called RVS (Receiving Voltage Signal) is founded accurately. This will devote to design Sonar systems accurately.

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Structural health monitoring using piezoceramic transducers as strain gauges and acoustic emission sensors simultaneously

  • Huo, Linsheng;Li, Xu;Chen, Dongdong;Li, Hongnan
    • Computers and Concrete
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    • v.20 no.5
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    • pp.595-603
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    • 2017
  • Piezoceramic transducers have been widely used in the health monitoring of civil structures. However, in most cases, they are used as sensors either to measure strain or receive stress waves. This paper proposes a method of using piezoelectric transducers as strain gauges and acoustic emission (AE) sensors simultaneously. The signals received by piezoceramic transducers are decomposed into different frequency components for various analysis purposes. The low-frequency signals are used to measure strain, whereas the high-frequency signals are used as acoustic emission signal associated with local damage. The b-value theory is used to process the AE signal in piezoceramic transducers. The proposed method was applied in the bending failure experiments of two reinforced concrete beams to verify its feasibility. The results showed that the extracted low-frequency signals from the piezoceramic transducers had good agreement with that from the strain gauge, and the processed high-frequency signal from piezoceramic transducers as AE could indicate the local damage to concrete. The experimental results verified the feasibly of structural health monitoring using piezoceramic transducers as strain gauges and AE sensors simultaneously, which can advance their application in civil engineering.

Improved time delay estimation by adaptive eigenvector decomposition for two noisy acoustic sensors (잡음이 있는 두 음향 센서를 이용한 시간 지연 추정을 위한 향상된 적응 고유벡터 추정 기반 알고리즘)

  • Lim, Jun-Seok
    • The Journal of the Acoustical Society of Korea
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    • v.37 no.6
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    • pp.499-505
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    • 2018
  • Time delay estimation between two acoustic sensors is widely used in room acoustics and sonar for target position estimation, tracking and synchronization. A cross-correlation based method is representative for the time delay estimation. However, this method does not have enough consideration for the noise added to the receiving acoustic sensors. This paper proposes a new time delay estimation method considering the added noise on the receiver acoustic sensors. From comparing with the existing GCC (Generalized Cross Correlation) method, and adaptive eigen decomposition method, we show that the proposed method outperforms other methods for a colored signal source in the white Gaussian noise condition.

Development of a Diagnostic Algorithm with Acoustic Emission Sensors and Neural networks for Check Valves

  • Seong, Seung-Hwan;Kim, Jung-Soo;Hur, Seop;Kim, Jung-Tak;Park, Won-Man
    • Nuclear Engineering and Technology
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    • v.36 no.6
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    • pp.540-548
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    • 2004
  • Check valve failure is one of the worst problems in nuclear power plants. Recently, many researches have been based on new technology using accelerometers and ultrasonic and magnetic flux detection have been carried out. Here, we have suggested a method that uses acoustic emission sensors for detecting the failures of check valves through measuring and analyzing backward leakage flow, a system that works without disassembling the check valve. For validating the suggested acoustic emission sensor methodology, we designed a hydraulic test loop with a check valve. We have assumed in this study that check valve failure is caused by disk wear or by the insertion of a foreign object. In addition, we have developed diagnostic algorithms by using a neural network model to identify the type and size of the failure in the check valve. Our results show that the proposed diagnostic algorithm with acoustic emission sensors is a good solution for identifying check valve failure without necessitating any disassembly work.

A Study on the Technology to Diagnose GIS with Acoustic Emission by Dropping Particles Method (이물 낙하법에 의한 GIS 초음파 진단 기술 연구)

  • Kim, Gwang-Hwa;Choe, Jae-Gu;Seon, Jong-Ho;Kim, Ik-Su;Yun, Jin-Yeol;Park, Gi-Jun
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.51 no.6
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    • pp.246-252
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    • 2002
  • This paper describes the acoustic emission measurement method to diagnose GIS for particles. We measured and analyzed the signals of acoustic waves using acoustic two types sensors with 125KHz and 50KHz resonant frequency respectively when the particles were dropped on the surfaces of circular plates and inside of GlS tanks. We found that the difference between peak outputs of two sensors depended on the types and materials of particles and the conditions of dropping position. These results showed that the outputs of 125KHz sensor were higher than those of 50KHz sensor in circular plate and 362㎸ GIS tank made of steel and vice versa in circular plate and 800㎸ GIS tank made of aluminum. The ratios outputs of 125KHz sensor to those of 50KHz sensor were 1.4 - 2.37 in 800㎸ GIS tank and were 0.5 - 1.0 in 362㎸ GIS tank. Therefore we knew that adaption of two types acoustic sensors which had different resonant frequencies as a very useful method in diagnosis of GIS.

A Study on HVDC Underwater Cable Monitoring Technology Based on Distributed Fiber Optic Acoustic Sensors (분포형 광섬유 음향 센서 기반 HVDC 해저케이블 모니터링 기술 연구)

  • Youngkuk Choi;Hyoyoung Jung;Huioon Kim;Myoung Jin Kim;Hee-Woon Kang;Young Ho Kim
    • Journal of Sensor Science and Technology
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    • v.32 no.3
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    • pp.199-206
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    • 2023
  • This study presents a novel monitoring technique for underwater high-voltage direct current (HVDC) cables based on the Distributed Acoustic Sensor (DAS). The proposed technique utilizes vibration and acoustic signals generated on HVDC cables to monitor their condition and detect events such as earthquakes, shipments, tidal currents, and construction activities. To implement the monitoring system, a DAS based on phase-sensitive optical time-domain reflectometry (Φ-OTDR) system was designed, fabricated, and validated for performance. For the HVDC cable monitoring experiments, a testbed was constructed on land, mimicking the cable burial method and protective equipment used underwater. Defined various scenarios that could cause cable damage and conducted experiments accordingly. The developed DAS system achieved a maximum measurement distance of 50 km, a distance measurement interval of 2 m, and a measurement repetition rate of 1 kHz. Extensive experiments conducted on HVDC cables and protective facilities demonstrated the practical potential of the DAS system for monitoring underwater and underground areas.

Initial development of wireless acoustic emission sensor Motes for civil infrastructure state monitoring

  • Grosse, Christian U.;Glaser, Steven D.;Kruger, Markus
    • Smart Structures and Systems
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    • v.6 no.3
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    • pp.197-209
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    • 2010
  • The structural state of a bridge is currently examined by visual inspection or by wired sensor techniques, which are relatively expensive, vulnerable to inclement conditions, and time consuming to undertake. In contrast, wireless sensor networks are easy to deploy and flexible in application so that the network can adjust to the individual structure. Different sensing techniques have been used with such networks, but the acoustic emission technique has rarely been utilized. With the use of acoustic emission (AE) techniques it is possible to detect internal structural damage, from cracks propagating during the routine use of a structure, e.g. breakage of prestressing wires. To date, AE data analysis techniques are not appropriate for the requirements of a wireless network due to the very exact time synchronization needed between multiple sensors, and power consumption issues. To unleash the power of the acoustic emission technique on large, extended structures, recording and local analysis techniques need better algorithms to handle and reduce the immense amount of data generated. Preliminary results from utilizing a new concept called Acoustic Emission Array Processing to locally reduce data to information are presented. Results show that the azimuthal location of a seismic source can be successfully identified, using an array of six to eight poor-quality AE sensors arranged in a circular array approximately 200 mm in diameter. AE beamforming only requires very fine time synchronization of the sensors within a single array, relative timing between sensors of $1{\mu}s$ can easily be performed by a single Mote servicing the array. The method concentrates the essence of six to eight extended waveforms into a single value to be sent through the wireless network, resulting in power savings by avoiding extended radio transmission.

A Study on the Improvement of Adhesive Mixing Ratio about Acoustic Window for Enhancing SONAR Performance of Submarine (수중함 소나 수신성능 향상을 위한 음향창 접착제 배합비 개선)

  • Ham, Younghoon;Kim, Joonwoo;Chang, Hoseong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.21 no.4
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    • pp.481-488
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    • 2018
  • This study suggest the improvement of the CFRP adhesive mixing ratio about acoustic window to enhance SONAR performance. The CFRP of submarine is produced by allocation an acoustic window zone by the beam width of SONAR sensors. During the sea trial, SONAR system's bearing and range accuracy data is not in tolerance due to debonding phenomenon on CFRP. The inappropriate mixing ratio of adhesives caused that peeling phenomenon occurred in the acoustic window part, which is the reason for the deterioration of SONAR sensors performance. The report includes explanation of test procedure of SONAR, root cause analysis, CFRP manufacturing procedure, laboratory tests results, and proof of the performance at the sea trial.

A Study on the Technology Applying the Acoustic Wave Measurement to Diagnosing Particles in 800kV GIS (800kV GIS 이물진단을 위한 초음파 측정 적용기술연구)

  • Kim, K.H.;Choi, J.G.;Kim, M.K.;Sun, J.H.;Kim, I.S.;Yoon, J.Y.
    • Proceedings of the KIEE Conference
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    • 2001.11a
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    • pp.189-191
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    • 2001
  • This paper described the outputs of acoustic sensors due to the vibration of particles in the mock up GIS. We used the two type of acoustic sensors which had 150kHz resonant frequency and 60kHz resonant frequency respectively. In the experiment of the mock up GIS we paid attention to the relationship between applied voltages and sensor outputs due to particles. In this results fall down voltages depended on the material and length of particles but lift off voltages depended on the materials of particles. And the sensors outputs were increased with applied voltages in the same particle.

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