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减小噪声干扰的热敏电阻传感器动态测量误差补偿 总被引:6,自引:0,他引:6
为了补偿热敏电阻的动态测量误差,可在传感器的输出端串接一个动态补偿环节。该环节本质上是一个带通或高通滤波器,补偿环节的增加将引起严重的噪声放大,影响测量系统的精度。研究了在噪声环境下,改善热敏电阻传感器的动态特性的方法,该方法在采用实验数据得到补偿环节系数的同时,采用多项式预测滤波和中值滤波相结合的方法减小测量系统的噪声。仿真实验验证了该方法的有效性。 相似文献
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通过对矢量拖线阵流噪声各分量功率谱的推导以及流噪声各分量间相关性的分析,提出了基于声强流的流噪声抑制方法。根据湖试数据的验证可以看出,该方法可以将矢量拖线阵流噪声功率谱抑制到低于声压阵流噪声功率谱的水平。 相似文献
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本文对加速度矢量水听器被动定向声呐浮标中的偶极子方向性形成、罗盘指向信号形成、低频信号调制、接收信号解调和目标方位计算进行了简明的分析,并就其实现方法进行了原理性的探讨。 相似文献
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减小应变式多维力传感器测量误差的一种方法 总被引:1,自引:0,他引:1
针对目前多维力传感器各维间耦合造成的测量误差过大的问题,提出了适用于应变式多维力传感器的互耦补偿电阻解耦方法。理论分析与实际应用结果表明,该方法能有效地消除传感器各维间的耦合作用,大大减小因此而产生的测量误差。 相似文献
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基于简正波理论分析了浅海噪声矢量场声压和质点振速的强度特性,仿真了浅海声压和质点振速的噪声强度在深度和频率上的变化特性,噪声矢量场强度特性仿真结果与实验测量结果一致。针对声场测量的有效性,给出了加速度通道自噪声谱级和灵敏度必须满足的关系式,并提出了降低自噪声对接收系统影响的两种措施。最后分析并对比了系统自噪声谱级和海洋环境噪声谱级,结果表明,声压通道的自噪声比环境噪声谱级低20 d B左右,Y通道和Z通道的自噪声比环境噪声低3.5 d B以上,X通道的自噪声谱级在200 Hz附近与环境噪声谱级最为接近,约比环境噪声低1.5 d B。 相似文献
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1.引言
水声信号处理中研究的对象是声场,基于传统的声压传感器阵的水声信号处理只拾取声场的声压,而具有方向敏感性的矢量传感器可以同时测得质点振速等矢量信号,即同时获得p,Vx,Vy,Vz四个关于目标信息的物理量,由于获得的关于声场信息量的增加,基于矢量传感器阵的定向精度必将得到改善[1].常规的波束形成法如Bartlett法,Capon法是一种非参数谱估计法,没有将信号的可用信息结合到估计中[2],本文将AR模型法引入声矢量阵信号处理,将信号的模型结合到谱估计算法中,获得了更精确,分辨率更高的谱估计. 相似文献
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Lifeng Qin Zijing Zeng Hongbin Cheng Qing-ming Wang 《IEEE transactions on ultrasonics, ferroelectrics, and frequency control》2009,56(9):1945-1954
A quartz thickness shear mode (TSM) bulk acoustic wave resonator was used for in situ and real-time detection of liquid flow rate in this study. A special flow chamber made of 2 parallel acrylic plates was designed for flow measurement. The flow chamber has a rectangular flow channel, 2 flow reservoirs for stabilizing the fluid flow, a sensor mounting port for resonator holding, one inlet port, and one outlet port for pipe connection. A 5-MHz TSM quartz resonator was edge-bonded to the sensor mounting port with one side exposed to the flowing liquid and other side exposed to air. The electrical impedance spectra of the quartz resonator at different volumetric flow rate conditions were measured by an impedance analyzer for the extraction of the resonant frequency through a data-fitting method. The fundamental, 3rd, 5th, 7th, and 9th resonant frequency shifts were found to be around 920, 3572, 5947, 8228, and 10 300 Hz for flow rate variation from 0 to 3000 mL/min, which had a corresponding Reynolds number change from 0 to 822. The resonant frequency shifts of different modes are found to be quadratic with flow rate, which is attributed to the nonlinear effect of quartz resonator due to the effective normal pressure imposing on the resonator sensor by the flowing fluid. The results indicate that quartz TSM resonators can be used for flow sensors with characteristics of simplicity, fast response, and good repeatability. 相似文献
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Material selection is crucial for sensor elements. Because of the numerous material alternatives available in the market, systematic methods must be employed to select the most suitable sensor material that satisfies technical, metrological and economic criteria. In this study, analytic hierarchy process (AHP) is employed for the selection of sensor material. Twenty common materials are classified in three groups according to their elasticity modulus, and then the best sensor material in each group is determined then the AHP rankings of the materials are calculated. The results show that AISI 4340 steel and CuBe alloy are the most suitable materials within the high- and lower-modulus groups, respectively, and Ni-Span-C is another good alternative sensor element. 相似文献
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Ledeczi A. Hay T. Volgyesi P. Hay D.R. Nadas A. Jayaraman S. 《IEEE sensors journal》2009,9(11):1370-1377
The paper presents a prototype wireless system for the detection of active fatigue cracks in aging railways bridges in real-time. The system is based on a small low-cost sensor node, called an AEPod, that has four acoustic emission (AE) channels and a strain channel for sensing, as well as the capability to communicate in a wireless fashion with other nodes and a base station. AEPods are placed at fracture-critical bridge locations. The strain sensor detects oncoming traffic and triggers the AEPod out of its hibernation mode. As the train stresses the fracture-critical member, acoustic emission and strain data are acquired. The data are compressed and filtered at the AEPod and transmitted off the bridge using cell-phone communication. 相似文献
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This paper describes sensor calibration and signal analysis techniques applicable to the method of acoustic emission (AE) and ultrasonic testing. They are particularly useful for obtaining absolute measurements of AE wave amplitude and shape, which can be used to constrain the physics and mechanics of the AE source. We illustrate how to perform calibration tests on a thick plate and how to implement two different mechanical calibration sources: ball impact and glass capillary fracture. In this way, the instrument response function can be estimated from theory, without the need for a reference transducer. We demonstrate the methodology by comparing calibration results for four different piezoelectric acoustic emission sensors: Physical Acoustics (PAC) PAC R15, PAC NANO30, DigitalWave B1025, and the Glaser-type conical sensor. From the results of these tests, sensor aperture effects are quantified and the accuracy of calibration source models is verified. Finally, this paper describes how the effects of the sensor can be modeled using an autoregressive-moving average (ARMA) model, and how this technique can be used to effectively remove sensor-induced distortion so that a displacement time history can be retrieved from recorded signals. 相似文献
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With the increased utilization of advanced composites in strategic industries, the concept of Structural Health Monitoring
(SHM) with its inherent advantages is gaining ground over the conventional methods of NDE and NDI. The most attractive feature
of this concept is on-line evaluation using embedded sensors. Consequently, development of methodologies with identification
of appropriate sensors such as PVDF films becomes the key for exploiting the new concept. And, of the methods used for on-line
evaluation acoustic emission has been most effective. Thus, Acoustic Emission (AE) generated during static tensile loading
of glass fiber reinforced plastic composites was monitored using a Polyvinylidene fluoride (PVDF) film sensor. The frequency
response of the film sensor was obtained with pencil lead breakage tests to choose the appropriate band of operation. The
specimen considered for the experiments were chosen to characterize the differences in the operation of the failure mechanisms
through AE parametric analysis. The results of the investigations can be characterized using AE parameter indicating that
a PVDF film sensor was effective as an AE sensor used in structural health monitoring on-line. 相似文献