Relevant bibliographies by topics / Sensor Instrumentation

Academic literature on the topic 'Sensor Instrumentation'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Sensor Instrumentation"

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Lee, Woojin, Won-Je Lee, Sang-Bae Lee, and Rodrigo Salgado. "Measurement of pile load transfer using the Fiber Bragg Grating sensor system." Canadian Geotechnical Journal 41, no. 6 (December 1, 2004): 1222–32. http://dx.doi.org/10.1139/t04-059.

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A series of laboratory and field tests were performed to evaluate the applicability of an optical fiber sensor system in the instrumentation of piles. A multiplexed sensor system, constructed by arranging several Fiber Bragg Grating (FBG) sensors along a single line of optical fiber, is capable of measuring local axial strains as a function of wavelength shifts. The distributions of axial load in three model piles and a field test pile evaluated from the strains measured by FBG sensors are found to be comparable, in terms of both magnitude and trend, with those obtained from conventional strain gauges. This suggests that the FBG sensor system is an effective tool for the analysis of the axial load transfer in piles. The successful instrumentation of a soil–cement injected precast (SIP) pile using FBG sensors suggests that the use of these sensors in drilled shafts and other types of cast in situ concrete piles is feasible. With the rapid advance of optical fiber sensor technology, the economics of the use of optical fiber sensors in this type of instrumentation is expected to improve significantly in coming years.Key words: pile foundation, load transfer, fiber optic sensor, Fiber Bragg Grating sensor.
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Harper, Christofer M., Daniel Tran, and Edward Jaselskis. "Exploring Instrumentation and Sensor Technologies for Highway Design and Construction Projects." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 9 (July 12, 2020): 593–604. http://dx.doi.org/10.1177/0361198120930718.

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With the infusion of emerging technologies into highway construction practices, state departments of transportation (DOTs) can make better informed decisions that positively influence cost, schedule, quality, and safety. DOTs are increasingly using instrumentation and sensor technologies for delivering highway projects across the U.S.A. Instrumentation devices and sensors include such technologies as remote sensing, real-time kinematics, global positioning systems, digital handheld devices, ground penetrating radar, and intelligent compaction/thermal profiling. These technologies are becoming commonplace in highway construction because of their capabilities to improve the construction process by making activities more efficient and more productive. However, the practices in using instrumentation and sensor technologies for highway construction vary among state DOTs. Therefore, this study investigates how DOTs employ the use of instrumentation and sensor technologies for highway construction. This study engaged a research methodology that included an extensive literature review, survey questionnaire, and case studies of state DOTs. Results show that 31 state DOTs use instrumentation and sensor technologies for monitoring work progress, conducting quality control and quality assurance, performing construction inspections, identifying optimal conditions and recording the placement of work, and locating utilities. The main barriers to using instrumentation and sensor technologies include analyzing the large amount of data, verifying the accuracy of the data, ensuring staff have the skills and knowledge to use the technologies efficiently, and assisting smaller contractors to gain the knowledge to use these technologies. The findings from this study provide recommendations and strategies for DOTs to implement instrumentation and sensor technologies effectively for highway construction.
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Arco, Laura De, María Jose Pontes, Marcelo Eduardo Viera Segatto, Maxwell E. Monteiro, Carlos A. Cifuentes, and Camilo A. R. Díaz. "Pressure and Angle Sensors with Optical Fiber for Instrumentation of the PrHand Hand Prosthesis." Journal of Physics: Conference Series 2407, no. 1 (December 1, 2022): 012010. http://dx.doi.org/10.1088/1742-6596/2407/1/012010.

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Abstract The principal cause of upper limb amputations is due to traumatism. The prosthesis is an assistive device to help in the activities of daily for the amputee person. However, one of the latest reports shows that in developing countries there are around 30 million people without assistive devices. This work presents the development of two kinds of sensors for the PrHand, an upper limb prosthesis based on compliant mechanism and soft-robotics. The sensors are made with polymeric optical fiber (POF), due to their flexibility and low cost, and the working principle is based on intensity variation. The angle sensors are used for monitoring the interphalangeal joint of the fingers, and for the assessment were made cycles of closing and opening each finger. On the other hand, the force sensors are located at the tip of three fingers to track the force made over the objects. Before encoring the sensors were evaluated making five cycles of compressing and decompressing each sensor. The results show a linear behavior between the angle and the voltage variation, one most remarkable angle sensor result was with a sensibility of 0.0357 V/° and an R2 of 99 % closing and 0.0483 V/° opening. In the case of the force sensor, a polynomial relation was found between the voltage changes and the pressure over the sensor; in some cases, the relation between voltage changes and pressure could be linear but that depends on the construction of the sensor. Regarding the obtained R2 of 99 %, its sensibility was 0.0361 V/N compression and 0.0368 V/N decompression. In conclusion, was successfully developed two kinds of sensors for the instrumentation of PrHand prosthesis. It is expected to use angle and sensor variables as input in algorithms of Machine Learning to improve the detection of objects. One aspect to improve is to control in a better way the sensor construction parameters due to the considerable influence over the sensor behavior.
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Webster, John G. "Biomedical Instrumentation." International Journal of Systems Biology and Biomedical Technologies 3, no. 1 (January 2015): 20–38. http://dx.doi.org/10.4018/ijsbbt.2015010102.

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This paper covers the measurement of biopotentials for diagnosis: the electrical voltages that can be measured from electrodes placed on the skin or within the body. Biopotentials include: the electrocardiogram (ECG), electroencephalogram (EEG), electrocortogram (ECoG), electromyogram (EMG), electroneurogram (ENG), electrogastrogram (EGG), action potential (AP), electroretinogram (ERG), electro-oculogram (EOG). This paper also covers skin conductance, pulse oximeters, urology, wearable systems and important therapeutic devices such as: the artificial cardiac pacemaker, defibrillator, cochlear implant, hemodialysis, lithotripsy, ventilator, anesthesia machine, heart-lung machine, infant incubator, infusion pumps, electrosurgery, tissue ablation, and medical imaging. It concludes by covering electrical safety. It provides future subjects for research such as a blood glucose sensor and a permanently implanted intracranial pressure sensor.
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Darmoyono, Aditya Gautama, Asrizal Deri Futra, Sumantri R. K, K. Kamarudin, and Muhammad Syafei Gozali. "Desain Prototipe Instrumentation Amplifier untuk Sensor SKU SEN0257 pada Kit Couple Tank." Journal of Applied Electrical Engineering 6, no. 2 (December 30, 2022): 85–88. http://dx.doi.org/10.30871/jaee.v6i2.4828.

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Analog sensors are devices used in the process industry. These sensors can be used to measure the pressure, flow, temperature, and level of a fluid in a tank. A sensor is an important part of a feedback control system that is commonly used in the process industry. In this research, an analog sensor was used to measure water pressure on a couple tank kit, which was SKU SEN0257. This pressure was converted to the depth of the water in the tank. A problem occurred when the dimension of the tank was small, then the depth change of water could not be read by a controller that connected to the sensor. Therefore, a prototype of instrumentation amplifier using IC OP027 was designed. This amplifier was used to increase the output voltage from the sensor so that it could be read by controller. The circuit that has been designed, managed to produce voltage around the desirable value 0-5V. Problem that arise from this research is the fluctuation in the amplified voltage value that need further improvement on the circuit design.
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Kim, Chi Yeop, Il Bum Kwon, and Dae Cheol Seo. "Wireless Instrumentation for Monitoring of Smart Structures." Key Engineering Materials 321-323 (October 2006): 192–95. http://dx.doi.org/10.4028/www.scientific.net/kem.321-323.192.

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Smart structures needs lots of sensor installation to sense their status and also the external environmental change. Wireless technique can give a good solution to install sensors without heavy cables. So, in this work, a wireless device was developed to transmit static strain and elastic wave propagation of structures. The specification of this device was as follows: 2.4 GHz of transmitted frequency, 8 channels, 57,600 bps of the transmitted speed, and 10 mW of the transmitted power. In order to confirm the wireless device’s feasibility, a beam test was performed with five optical fiber strain sensors and two piezo-ceramic sensors with the wireless instrumentation.
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Guo, Yixuan, and Gaoyang Liang. "Perceptual Feedback Mechanism Sensor Technology in e-Commerce IoT Application Research." Journal of Sensors 2021 (September 28, 2021): 1–12. http://dx.doi.org/10.1155/2021/3840103.

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With the development of sensor technology and the Internet of Things (IoT) technology, the trend of miniaturization of sensors has prompted the inclusion of more sensors in IoT, and the perceptual feedback mechanism among these sensors has become particularly important, thus promoting the development of multiple sensor data fusion technologies. This paper deeply analyzes and summarizes the characteristics of sensory data and the new problems faced by the processing of sensory data under the new trend of IoT, deeply studies the acquisition, storage, and query of sensory data from the sensors of IoT in e-commerce, and proposes a ubiquitous storage method for massive sensory data by combining the sensory feedback mechanism of sensors, which makes full use of the storage resources of IoT storage network elements and maximally meets the massive. In this paper, we propose a ubiquitous storage method for massive sensing data, which makes full use of the storage resources of IoT storage network elements to maximize the storage requirements of massive sensing data and achieve load-balanced data storage. In this paper, starting from the overall development of IoT in recent years, the weak link of intelligent information processing is reinforced based on the sensory feedback mechanism of sensor technology.
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Kieslinger, D., S. Draxler, K. Trznadel, and M. E. Lippitsch. "Lifetime-based capillary waveguide sensor instrumentation." Sensors and Actuators B: Chemical 39, no. 1-3 (March 1997): 300–304. http://dx.doi.org/10.1016/s0925-4005(97)80223-7.

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Kochanski, Adam, Aimé Fournier, and Jan Mandel. "Experimental Design of a Prescribed Burn Instrumentation." Atmosphere 9, no. 8 (July 29, 2018): 296. http://dx.doi.org/10.3390/atmos9080296.

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Observational data collected during experiments, such as the planned Fire and Smoke Model Evaluation Experiment (FASMEE), are critical for evaluating and transitioning coupled fire-atmosphere models like WRF-SFIRE and WRF-SFIRE-CHEM into operational use. Historical meteorological data, representing typical weather conditions for the anticipated burn locations and times, have been processed to initialize and run a set of simulations representing the planned experimental burns. Based on an analysis of these numerical simulations, this paper provides recommendations on the experimental setup such as size and duration of the burns, and optimal sensor placement. New techniques are developed to initialize coupled fire-atmosphere simulations with weather conditions typical of the planned burn locations and times. The variation and sensitivity analysis of the simulation design to model parameters performed by repeated Latin Hypercube Sampling is used to assess the locations of the sensors. The simulations provide the locations for the measurements that maximize the expected variation of the sensor outputs with varying the model parameters.
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Bouakkaz, Fatima, Wided Ali, and Makhlouf Derdour. "Forest Fire Detection Using Wireless Multimedia Sensor Networks and Image Compression." Instrumentation Mesure Métrologie 20, no. 1 (February 28, 2021): 57–63. http://dx.doi.org/10.18280/i2m.200108.

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Recently, the issue of multimedia sensors received considerable critical attention, that led to the apparition of Wireless Multimedia Sensor Networks (WMSNs) WMSN that different from wireless sensor networks (WSN) by using multimedia sensors that can process video, audio, image data besides scalar data and send it to station base (SB). Multimedia data have a big volume bigger than scalar data and need more resources and consumed more energy. The ideal solution to solve the problems of WMSN (big volume, energy consumption) is data compression. Forest plays a critical role in our daily life we can summarize the importance of forests in human life. Among the most dangerous events the forest fires that happen because of natural or Man-made. Many methods used to detect forest fires the newest are: wireless multimedia sensor networks. Our system of detecting forest fire has been developed using a wireless multimedia senor network with two types of sensors (scalar, images). In the first phase when the scalar sensors detected a high temperature its announced alarm to activate the image sensors. In the second phase for detecting fire the image sensors, we used image processing tools. When the zone of fire in the image captured was detected the phase of compression started using the down sampling method. the final phase is transmission data to the station base using the grid chain transmission protocol technique, which allows a critical optimization of energy consumption. So, maximizing network life. The competence of the proposed system is achieved by minimizing size of image transmitted with grid chain routing protocol.
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Dissertations / Theses on the topic "Sensor Instrumentation"

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Abhijith, N. "Semi Conducting Metal Oxide Gas Sensors: Development And Related Instrumentation." Thesis, Indian Institute of Science, 2006. http://hdl.handle.net/2005/281.

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A sensor is a technological device or biological organ that detects, or senses, a signal or physical condition and chemical compounds. Technological developments in the recent decades have brought along with it several environmental problems and human safety issues to the fore. In today's world, therefore, sensors, which detect toxic and inflammable chemicals quickly, are necessary. Gas sensors which form a subclass of chemical sensors have found extensive applications in process control industries and environmental monitoring. The present thesis reports the attempt made in development of Zinc oxide thin film based gas sensors. ZnO is sensitive to many gases of interest like hydrocarbons, hydrogen, volatile organic compounds etc. They exhibit high sensitivity, satisfactory stability and rapid response. In the present work the developed sensors have been tested for their sensitivity for a typical volatile organic compound, acetone. An objective analysis of the various substrates namely borosilicate glass, sintered alumina and hard anodized alumina, has been performed as a part of this work. The substrates were evaluated for their electrical insulation and thermal diffusivity. The microstructure of the gas sensitive film on the above mentioned substrates was studied by SEM technique. The gas sensitive Zinc oxide film is deposited by D.C reactive magnetron sputtering technique with substrate bias arrangement. The characterization of the as-deposited film was performed by XRD, SEM and EDAX techniques to determine the variation of microstructure, crystallite size, orientation and chemical composition with substrate bias voltage. The thesis also describes the development of the gas sensor test setup, which has been used to measure the sensing characteristics of the sensor. It was observed that the ZnO sensors developed with higher bias voltages exhibited improved sensitivity to test gas of interest. Gas sensors essentially measure the concentration of gas in its vicinity. In order to determine the distribution of gas concentration in a region, it is necessary to network sensors at remote locations to a host. The host acts as a gateway to the end user to determine the distribution of gas concentration in a region. However, wireless gas sensor networks have not found widespread use because of two inherent limitations: Metal oxide gas sensors suffer from output drift over time; frequent recalibration of a number of sensors is a laborious task. The gas sensors have to be maintained at a high temperature to perform the task of gas sensing. This is power intensive operation and is not well suited for wireless sensor network. This thesis reports an exploratory study carried out on the applicability of gas sensors in wireless gas sensor network. A simple prototype sensing node has been developed using discrete electronic components. A methodology to overcome the problem of frequent calibration of the sensing nodes, to tackle the sensor drift with ageing, is presented. Finally, a preliminary attempt to develop a strategy for using gas sensor network to localize the point of gas leak is given.
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Newman, Jason. "A FIBER SENSOR INTEGRATED MONITOR FOR EMBEDDED INSTRUMENTATION SYSTEMS." International Foundation for Telemetering, 2006. http://hdl.handle.net/10150/604111.

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ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California
In this paper we will present a new fiber sensor integrated monitor (FSIM) to be used in an embedded instrumentation system (EIS). The proposed system consists of a super luminescent diode (SLD) as a broadband source, a novel high speed tunable MEMS filter with built in photodetector, and an integrated microprocessor for data aggregation, processing, and transmission. As an example, the system has been calibrated with an array of surface relief fiber Bragg gratings (SR-FBG) for high speed, high temperature monitoring. The entire system was built on a single breadboard less than 50 cm² in area.
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Araujo, Maria S., Myron L. Moodie, Greg C. Willden, Ryan J. Thibodeaux, and Ben A. Abbott. "Integrating Wireless Sensor Technologies into Instrumentation and Telemetry Systems." International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/605939.

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ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California
Recent technological advancements in low-power, low-cost, small-footprint embedded processors, sensors, and radios are resulting in the very rapid growth of wireless sensor network deployments. Wireless sensor networks merge the scalability and distributed nature of networked systems with the size and energy constraints of remote embedded systems. With the ever increasing need to develop less intrusive, more scalable solutions for instrumentation systems, wireless sensor technologies present several benefits. They largely eliminate the need for power and network wiring, thus potentially reducing cost, weight, and deployment time; their modularity provides the flexibility to rapidly change instrumentation configurations and the capability to increase the coverage of an instrumentation system. While the benefits are exciting and varied, as with any emerging technology, many challenges need to be overcome before wireless sensor networks can be effectively and successfully deployed in instrumentation applications, including throughput, latency, power management, electromagnetic interference (EMI), and band utilization considerations. This paper describes some approaches to addressing these challenges and achieving a useful system.
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Seliskar, Daniel Peter. "Capacitance-based microvolume liquid-level sensor array." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100243.

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A prototype sensor array was developed for use with laboratory automation to permit closed-loop control of liquid-levels in a multiwell microplate geometry. A simple electrical model for non-contact capacitance-based fluid sensors was extended to describe a fluid-level dependency. The new model shows that a charge-transfer based capacitance transducer employing a liquid-specific calibration can be used to obtain an output signal that varies linearly with the liquid-level when fringe-field effects are negligible. The calibration also compensates for liquid-to-liquid conductivity and permittivity differences.
The sensor was tested using sodium chloride (NaCl) and ethanol solutions to simulate the range of conductivity and permittivity typical in biological and chemical research. Measured capacitance was a second-order function of liquid volume due to fringe-field effects and was compensated for by adding a hardware-based calibration. Liquid-volume measurement error averaged 0.2% of the 120mul fill volume with a standard deviation of 0.6% (< mul). The maximum absolute error for all liquids was 2.7% (3mul).
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Faulstich, Raymond J., Lawrence W. Jr Burke, and William P. D’Amico. "HARDENED SUBMINIATURE TELEMETRY AND SENSOR SYSTEM." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/607637.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California
The Army development and test community must demonstrate the functionality and reliability of gun-launched projectiles and munitions systems, especially newer smart munitions. The best method to satisfy this requirement is to combine existing optical and tracking systems data with internal data measured with on-board instrumentation (i.e. spin, pitch, and yaw measurements for standard items and terminal sensor, signal processor, and guidance/navigation system monitoring for smart munitions). Acquisition of internal data is usually limited by available space, harsh launch environments, and high associated costs. A technology development and demonstration effort is underway to provide a new generation of products for use in this high-g arena. This paper describes the goals, objectives, and progress of the Hardened Subminiature Telemetry and Sensor System (HSTSS) program.
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Silva, Diogo Fonte da. "SAW sensor validation and instrumentation for torque and temperature measurement." Master's thesis, Universidade de Aveiro, 2017. http://hdl.handle.net/10773/22736.

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Mestrado em Engenharia Eletrónica e Telecomunicações
The work here presented is inserted in the framework of the RTMGear Project, that has the objective of measuring several physical parameters, such as torque and temperature, directly within the rotating parts present in a power reduction gearbox. The urge of this study comes from the aircraft industry demand for systems able to perform real-time monitoring of torque in the most critical components operating inside a gearbox. However, the existing sensing technologies have limitations in terms of accuracy. There are also considerable di culties to its implementation such as space constraints and very harsh conditions which make inappropriate the use of cables and electronic devices inside the gearbox. For this e ect, sensing devices based in SAW(Surface Acoustic Waves) technology were used. This devices are microelectromechanic (MEMS) systems whose characteristics are appropriate to the harsh conditions at hand. In order to proceed with the study two mechanical set- ups have been fabricated, to support the sensors evaluation tests. The rst consisted in a static set- up designed to proceed to the calibration of the strain sensors for torque measurement. The second was a dynamic set- up designed to reach rotation speed as high as 2500 rpm and with the capability of heating the sensors application area above its operating range. This set- up accommodated tests to evaluate the e ect of speed and temperature in the uncertainty of the measurements and nally, an experiment to perform torque measurement with temperature compensation was made. Tests to evaluate the curve dependence of the SAW sensors wrt temperature and the communication link established by two special antennas designated as RF rotary Couplers, used to establish wireless connection in rotative setups were also realized. The results obtained allowed the achievement of several conclusion regarding the work done and future improvements, given that a complete study on the sensors behaviour with respect to the physical quantities being analysed was made and conclusions about the e ect of speed and temperature in the measurements are obtained. However, in order to obtain validation of the technology for gearbox instrumentation, actual torque measurements in a broader range (0 to 250 Nm) with compensation of temperature and vibration, under broader ranges of speed (up to 3000 rpm) and temperature (between -25 oC up to 85o C or more) would have to be accomplished.
O trabalho aqui apresentado está inserido no âmbito do projeto RTMGear, que visa a instrumentação e medição de grandezas físicas tais como binário e temperatura, diretamente a partir dos componentes rotativos da caixa de transmissão de testes, com a nalidade de validar a tecnologia usada para aplicação na indústria aeroespacial. A tecnologia estudada para realizar a monitorização em tempo real de tais grandezas são sensores SAW (sensores de onda acústica super cial) que se tratam de componentes microeletromecânicos (MEMS), com capacidade de medição em ambientes com condições difíceis como o que está a ser estudado. Com o objetivo de proceder ao estudo referido, dois set- ups mecânicos foram construídos e um conjunto de testes para estudar o comportamento dos sensores em tais condições foi efetuado: O primeiro, um set- up estático foi concebido para proceder à calibração dos sensores de binário para medição desta mesma grandeza, obtendo a curva de variação da sua resposta em função da gama de binário aplicada com recurso a uma máquina de testes universal. Foram ainda efetuados dois testes (um por tipo de sensor) com o intuito de obter as curvas de dependência dos sensores relativamente à temperatura. O segundo, um set- up dinâmico com capacidade de atingir rotação até próximo das 2500 rpm e com capacidade de proceder ao aquecimento da área de aplicação dos sensores até temperaturas superiores às compreendidas na sua gama de funcionamento. Neste Set- up testes para avaliar o efeito da aplicação de velocidade de rotação e temperatura no erro de medição e testes nais para apurar o binário medido com compensação do efeito da temperatura, após calibração prévia, foram efetuados. Os resultados obtidos com os procedimentos experimentais descritos permitiram retirar numerosas conclusões sobre o trabalho realizado mas são insu- cientes para validar a aplicação da tecnologia. Para tal, seriam necessários testes de medição de binário numa gama superior, com compensação de temperatura fossem realizados para valores de velocidade de rotação e temperatura signi cativamente superiores ao caso apresentado em que valores de binário foram efetivamente extraídos da realização experiemtal
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Reader, Nicole. "Delaware's first long term instrumented bridge a prototypical instrumentation and installation plan /." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 156 p, 2007. http://proquest.umi.com/pqdweb?did=1338919141&sid=6&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Chang, Huai-Ning. "Electrostatic Feedback for Mems Sensor : Development of in situ TEM instrumentation." Thesis, Linköping University, The Department of Physics, Chemistry and Biology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11649.

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This thesis work is about further developing an existing capacitive MEMS sensor for in situ TEM nanoindentation developed by Nanofactory Instrument AB. Today, this sensor uses a parallel plate capacitor suspended by springs to measure the applied force. The forces are in the micro Newton range. One major issue using with this measurement technique is that the tip mounted on one of the sensor plates can move out of the TEM image when a force is applied. In order to improve the measurement technique electrostatic feedback has been investigated. The sensor’s electrostatic properties have been evaluated using Capacitance-Voltage measurements and a white light interferometer has been used to directly measure the displacement of the sensor with varying voltage. Investigation of the sensor is described with analytical models with detailed treatment of the capacitive response as function of electrostatic actuation. The model has been tested and refined by using experimental data. The model showed the existence of a serial capacitor in the sensor. Moreover, a feedback loop was tested, by using small beads as load and by manually adjusting the voltage. With the success of controlling the feedback loop manually, it is shown that the idea is feasible, but some modifications and improvements are needed to perform it more smoothly.

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Ask, Eric A. (Eric Andrew). "Instrumentation of a sensor for small part inspection using laswer fluorescence." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/37733.

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Kupferschmidt, Benjamin. "INTEGRATING ENGINEERING UNIT CONVERSIONS AND SENSOR CALIBRATION INTO INSTRUMENTATION SETUP SOFTWARE." International Foundation for Telemetering, 2007. http://hdl.handle.net/10150/604520.

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ITC/USA 2007 Conference Proceedings / The Forty-Third Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2007 / Riviera Hotel & Convention Center, Las Vegas, Nevada
Historically, different aspects of the configuration of an airborne instrumentation system were specified in a variety of different software applications. Instrumentation setup software handled the definition of measurements and PCM Formats while separate applications handled pre-flight checkout, calibration and post-flight data analysis. This led to the manual entry of the same data multiple times. Industry standards such as TMATS strive to address this problem by creating a data-interchange format for passing setup information from one application to another. However, a better alternative is to input all of the relevant setup information about the sensor and the measurement when it is initially created in the instrumentation vendor’s software. Furthermore, an additional performance enhancement can be achieved by adding the ability to perform sensor calibration and engineering unit conversions to pre-flight data visualization software that is tightly coupled with the instrumentation setup software. All of the setup information can then be transferred to the ground station for post-flight processing and data reduction. Detailed reports can also be generated for each measurement. This paper describes the flow of data through an integrated airborne instrumentation setup application that allows sensors and measurements to be defined, acquired, calibrated and converted from raw counts to engineering units. The process of performing a sensor calibration, configuring engineering unit conversions, and importing calibration and transducer data sheets will also be discussed.
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Books on the topic "Sensor Instrumentation"

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Mukhopadhyay, Subhas Chandra. Intelligent Sensing, Instrumentation and Measurements. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Iniewski, Krzysztof. Biological and medical sensor technologies. Boca Raton, FL: CRC Press, 2012.

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Biological and medical sensor technologies. Boca Raton, FL: CRC Press, 2012.

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Wireless instruments and instrumentation: Networks, design, and applications. Boca Raton, Fla: Taylor & Francis, 2005.

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Rao, Govind. Optical Sensor Systems in Biotechnology. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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D, McGrath Michael Ph, ed. Wireless sensor networks for healthcare applications. Boston: Artech House, 2010.

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Wobschall, Darold. Circuit design for electronic instrumentation: Analog and digital devices from sensor to display. 2nd ed. New York: McGraw-Hill, 1987.

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Frederick, Van Staden Jacobus, and Aboul-Enein Hassan Y, eds. Electrochemical sensors in bioanalysis. New York: Marcel Dekker, 2001.

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Healthcare sensor networks: Challenges toward practical implementation. Boca Raton: CRC Press/Taylor & Francis Group, 2012.

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Arthur H. M. van Roermund. Nyquist AD Converters, Sensor Interfaces, and Robustness: Advances in Analog Circuit Design, 2012. New York, NY: Springer New York, 2013.

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Book chapters on the topic "Sensor Instrumentation"

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Huijsing, Johan. "Precision Instrumentation Amplifiers." In Smart Sensor Systems, 42–67. Chichester, UK: John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118701508.ch3.

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Piliarik, Marek, and Jiří Homola. "SPR Sensor Instrumentation." In Springer Series on Chemical Sensors and Biosensors, 95–116. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/5346_016.

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Salasmaa, Eero, and Pekka Kostamo. "Humicap® Thin Film Humidity Sensor." In Advanced Agricultural Instrumentation, 135–47. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4404-6_6.

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Zhou, Weibiao, and Nantawan Therdthai. "Instrumentation, Sensor Design and Selection." In Handbook of Food Process Design, 190–210. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781444398274.ch8.

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Lam, Hung, and Yordan Kostov. "Optical Instrumentation for Bioprocess Monitoring." In Optical Sensor Systems in Biotechnology, 125–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/10_2008_50.

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Chavan, D. N., R. H. Bari, G. E. Patil, D. D. Kajale, V. B. Gaikwad, D. V. Ahire, and G. H. Jain. "Nanocystalline In2O3 Thick Film Sensor." In Smart Sensors, Measurement and Instrumentation, 313–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32180-1_18.

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Krah, T., N. Ferreira, S. Büttgenbach, A. Wedmann, F. Härtig, and K. Kniel. "Coordinate Measurement on Wafer Level – From Single Sensors to Sensor Arrays." In Smart Sensors, Measurement and Instrumentation, 377–98. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10948-0_19.

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Lenis, A., M. Grammatikou, V. Maglaris, and S. Papavassiliou. "Extending Instrumentation Grids to Wireless Sensor Networks." In Grid Enabled Remote Instrumentation, 21–32. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-09663-6_2.

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Albano, M., S. Chessa, F. Nidito, and S. Pelagatti. "Data-Centric Storage in Non-Uniform Sensor Networks." In Grid Enabled Remote Instrumentation, 3–19. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-09663-6_1.

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Mali, Barasha, and S. H. Laskar. "PLS-Based Multivariate Statistical Approach for Soft Sensor Development in WWTP." In Control Instrumentation Systems, 123–31. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9419-5_11.

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Conference papers on the topic "Sensor Instrumentation"

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Maret, Y., R. Bloch, and D. Schrag. "C4.3 - Low Power Design for Wireless Instrumentation." In SENSOR+TEST Conferences 2011. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2011. http://dx.doi.org/10.5162/sensor11/c4.3.

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Hamill-Keays, W. J. P. "Instrumentation and sensor education - complacency?" In IEE Colloquium on Sensors and Instrumentation Systems - What Should We Teach? How Should We Teach? IEE, 1996. http://dx.doi.org/10.1049/ic:19960801.

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Patterson, Grant, Mike Bennett, Andy Nelius, William Irby, and Owen Boals. "Preparations for Smart Sensor Usage in Aircraft Gas Turbine Testing." In ASME Turbo Expo 2004: Power for Land, Sea, and Air. ASMEDC, 2004. http://dx.doi.org/10.1115/gt2004-53601.

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The preparation and planning process for smart sensor usage in aircraft gas turbine testing is described. The smart sensors are planned for usage in a process called Snap-In/Snap-Out (SISO). The current instrumentation setup process for testing in an altitude test cell requires a multitude of aerodynamic pressure lines (up to 600 lines) and electrical cables for instrumentation measurement and excitation (up to 800 cables) be routed through patch panels to pressure scanners, power supply/signal conditioners, analog-to-digital (A/D) systems, and acquisition systems for processing, display, recording, analysis, and transmission of the data. The process is manpower intensive in both setup and configuration control. The SISO process will use smart sensors with calibrations and measurement information on the sensors plus consolidation of all sensor outputs before they exit the engine test stand; this configuration offers the opportunity to reduce the number of connections for measured data to one or at most a few wires. Measurement information stored with the sensor reduces the probability of configuring the instrumentation system incorrectly. The SISO process is presented here along with attendant cost reductions for instrumentation setup time, configuration management, and infrastructure maintenance. The discussion of planning activities includes certifying the smart sensor units for operation in the test cell environment, assessing the uncertainty of the sensor units, the schedule for implementation, and future requirements for smart sensors. Also discussed are the use of state-of-the-art smart sensors and legacy sensors, for several applications (pressure, temperature, position, and voltage) and for both transient and dynamic measurements.
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HARSHA, PHILIP. "Instrumentation requirements from the user's view." In Sensor and Measurements Techniques for Aeronautical Applications. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-4663.

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Zia, Asif I., A. R. Mohd Syaifudin, S. C. Mukhopadhyay, P. L. Yu, I. H. Al-Bahadly, Jurgen Kosel, and Chinthaka Gooneratne. "Sensor and instrumentation for progesterone detection." In 2012 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2012. http://dx.doi.org/10.1109/i2mtc.2012.6229289.

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Jung, R. "Image sensor technology for beam instrumentation." In The eighth beam instrumentation workshop. AIP, 1998. http://dx.doi.org/10.1063/1.57043.

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Janz, S., A. Densmore, D. X. Xu, P. Cheben, R. Ma, J. H. Schmid, A. Delâge, et al. "Silicon photonic wire evanescent field sensors: sensor arrays and instrumentation." In SPIE BiOS, edited by Benjamin L. Miller and Philippe M. Fauchet. SPIE, 2011. http://dx.doi.org/10.1117/12.875471.

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BRAMLETTE, MARK, and PETER DEAN. "Artificial intelligence for providing expertise on instrumentation." In Sensor and Measurements Techniques for Aeronautical Applications. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-4666.

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Turrin, Bruno Bestle, Alexandre Rodrigues da Silva, and Fuad Kassab. "Flow sensor instrumentation employing differential pressure reading." In 2010 9th IEEE/IAS International Conference on Industry Applications - INDUSCON 2010. IEEE, 2010. http://dx.doi.org/10.1109/induscon.2010.5739930.

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Wailly, Olivier, Nicolas Heraud, and Olaf Malasse. "Instrumentation design of n-linear sensor network." In 2009 17th Mediterranean Conference on Control and Automation (MED). IEEE, 2009. http://dx.doi.org/10.1109/med.2009.5164673.

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Reports on the topic "Sensor Instrumentation"

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Mariella, Jr., Ray P. Sensor systems to Detect CombustionSummary of Instrumentation. Office of Scientific and Technical Information (OSTI), October 2010. http://dx.doi.org/10.2172/1124934.

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Anbo Wang, Russell May, and Gary R. Pickrell. Single Crystal Sapphire Optical Fiber Sensor Instrumentation. Office of Scientific and Technical Information (OSTI), October 2000. http://dx.doi.org/10.2172/882005.

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A. Wang, G. Pickrell, and R. May. SINGLE-CRYSTAL SAPPHIRE OPTICAL FIBER SENSOR INSTRUMENTATION. Office of Scientific and Technical Information (OSTI), September 2002. http://dx.doi.org/10.2172/808134.

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Pickrell, Gary, Brian Scott, Anbo Wang, and Zhihao Yu. Single-Crystal Sapphire Optical Fiber Sensor Instrumentation. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1238357.

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Wang, A., G. Pickrell, and R. May. SINGLE-CRYSTAL SAPPHIRE OPTICAL FIBER SENSOR INSTRUMENTATION. Office of Scientific and Technical Information (OSTI), October 2001. http://dx.doi.org/10.2172/801212.

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Wang, A., G. Pickrell, and R. May. SINGLE-CRYSTAL SAPPHIRE OPTICAL FIBER SENSOR INSTRUMENTATION. Office of Scientific and Technical Information (OSTI), October 2002. http://dx.doi.org/10.2172/829662.

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A. Wang, G. Pickrell, and R. May. SINGLE-CRYSTAL SAPPHIRE OPTICAL FIBER SENSOR INSTRUMENTATION. Office of Scientific and Technical Information (OSTI), September 2002. http://dx.doi.org/10.2172/819437.

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Cybenko, George, Dorothy Gramm, and Walter Gramm. Instrumentation for Wireless Agent Networks and Sensor Webs. Fort Belvoir, VA: Defense Technical Information Center, December 2001. http://dx.doi.org/10.21236/ada405520.

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Anbo Wang and Kristie Cooper. Optical Fiber Sensor Instrumentation for Slagging Coal Gasifiers. Office of Scientific and Technical Information (OSTI), July 2008. http://dx.doi.org/10.2172/943309.

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Cooper, Kristie L., Anbo Wang, and Gary R. Pickrell. Optical Fiber High Temperature Sensor Instrumentation for Energy Intensive Industries. Office of Scientific and Technical Information (OSTI), November 2006. http://dx.doi.org/10.2172/895010.

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