Pub Date : 2013-05-06DOI: 10.1109/I2MTC.2013.6555454
P. Moradshahi, H. Chatrzarrin, R. Goubran
Cough sound discriminator algorithms are capable of distinguishing between dry and wet cough types. The performance of such algorithms, however, is affected by noise and reverberation in the environment. The effect of reverberation on the performance of cough sound discriminators was previously studied in [1]. In this paper, the effect of noise on the performance of cough sound discriminator is studied and quantitatively measured using previously defined Linear Separation Score (LSS) [1]. Experiments revealed a significant decrease in the performance of cough sound discriminator in the presence of white noise using a single microphone for cough sound acquisition. A microphone array structure containing a maximum of 7 microphones along with delay-and-sum beamforming algorithm was used to improve the performance of the cough sound discriminator. Experimental results showed improvement in the performance of the cough sound discriminator in the presence of white noise using microphone arrays.
{"title":"Cough sound discrimination in noisy environments using microphone array","authors":"P. Moradshahi, H. Chatrzarrin, R. Goubran","doi":"10.1109/I2MTC.2013.6555454","DOIUrl":"https://doi.org/10.1109/I2MTC.2013.6555454","url":null,"abstract":"Cough sound discriminator algorithms are capable of distinguishing between dry and wet cough types. The performance of such algorithms, however, is affected by noise and reverberation in the environment. The effect of reverberation on the performance of cough sound discriminators was previously studied in [1]. In this paper, the effect of noise on the performance of cough sound discriminator is studied and quantitatively measured using previously defined Linear Separation Score (LSS) [1]. Experiments revealed a significant decrease in the performance of cough sound discriminator in the presence of white noise using a single microphone for cough sound acquisition. A microphone array structure containing a maximum of 7 microphones along with delay-and-sum beamforming algorithm was used to improve the performance of the cough sound discriminator. Experimental results showed improvement in the performance of the cough sound discriminator in the presence of white noise using microphone arrays.","PeriodicalId":432388,"journal":{"name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128717103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-06DOI: 10.1109/I2MTC.2013.6555706
Xu Fu, Lihan He, Hai Qiu
Monitoring the blade tip deflection of wind turbines in real time could prevent catastrophic failures caused by blade striking the tower. In this paper, a MEMS-based gyroscope sensor is proposed to measure the wind turbine blade tip deflection. A neural network model-based estimation method is developed to estimate the blade tip deflection from 3-dimensional gyroscope data. The proposed system is validated by field test in a 1.6MW wind turbine with 100-meters rotating diameter. To evaluate the measurement accuracy, a laser distance finder is also installed on the wind turbine tower outside to give a reference value of the blade tip to tower clearance.
{"title":"MEMS gyroscope sensors for wind turbine blade tip deflection measurement","authors":"Xu Fu, Lihan He, Hai Qiu","doi":"10.1109/I2MTC.2013.6555706","DOIUrl":"https://doi.org/10.1109/I2MTC.2013.6555706","url":null,"abstract":"Monitoring the blade tip deflection of wind turbines in real time could prevent catastrophic failures caused by blade striking the tower. In this paper, a MEMS-based gyroscope sensor is proposed to measure the wind turbine blade tip deflection. A neural network model-based estimation method is developed to estimate the blade tip deflection from 3-dimensional gyroscope data. The proposed system is validated by field test in a 1.6MW wind turbine with 100-meters rotating diameter. To evaluate the measurement accuracy, a laser distance finder is also installed on the wind turbine tower outside to give a reference value of the blade tip to tower clearance.","PeriodicalId":432388,"journal":{"name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128753546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-06DOI: 10.1109/I2MTC.2013.6555713
Kai Song, Qi Wang, Jianfeng Li, Hongquan Zhang
To solve the nonlinear response of semiconductor gas sensor and cross-sensitivity to the non-target gases, this paper studies gas sensor array and least square support vector regression (LS-SVR) based gas concentration measurement method. Methane (CH4), hydrogen (H2) and their mixtures are selected as the target gases. A multi-sensor array is composed of four metal oxide semiconductor (MOS) gas sensors with properties of different sensitivity. LS-SVR is used to establish the quantitative analysis model of each gas component. Given the difficulty in selecting parameters of LS-SVR and the high computational complex in using cross-validation when modeling on each gas component, this paper proposes a niche particle swarm optimization (NPSO) based parameter optimization algorithm which can find the global optimal parameters of the established LS-SVR model of each gas component. Compared with other methods such as artificial neural networks (ANNs), this proposed method improves precision of concentration measurement, and it is particularly adequate for the quantitative detection of gas concentrations within small training samples.
{"title":"Quantitative measurement of gas component using multisensor array and NPSO-based LS-SVR","authors":"Kai Song, Qi Wang, Jianfeng Li, Hongquan Zhang","doi":"10.1109/I2MTC.2013.6555713","DOIUrl":"https://doi.org/10.1109/I2MTC.2013.6555713","url":null,"abstract":"To solve the nonlinear response of semiconductor gas sensor and cross-sensitivity to the non-target gases, this paper studies gas sensor array and least square support vector regression (LS-SVR) based gas concentration measurement method. Methane (CH4), hydrogen (H2) and their mixtures are selected as the target gases. A multi-sensor array is composed of four metal oxide semiconductor (MOS) gas sensors with properties of different sensitivity. LS-SVR is used to establish the quantitative analysis model of each gas component. Given the difficulty in selecting parameters of LS-SVR and the high computational complex in using cross-validation when modeling on each gas component, this paper proposes a niche particle swarm optimization (NPSO) based parameter optimization algorithm which can find the global optimal parameters of the established LS-SVR model of each gas component. Compared with other methods such as artificial neural networks (ANNs), this proposed method improves precision of concentration measurement, and it is particularly adequate for the quantitative detection of gas concentrations within small training samples.","PeriodicalId":432388,"journal":{"name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128754963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-06DOI: 10.1109/I2MTC.2013.6555658
Taylor K. Calibo, Justin A. Blanco, S. Firebaugh
This work explores using a low-cost electroencephalography (EEG) headset to quantify the human response to stressed and non-stressed states. We used a Stroop color-word interference test to elicit a mild stress response in 18 test subjects while recording scalp EEG. EEG signals were analyzed using an algorithm that computed the root mean square voltage in the beta, alpha, and theta bands immediately following the presentation of the Stroop stimuli. These features were then used as inputs to logistic regression and k-nearest neighbor classifiers. Results showed that there was a median accuracy of 73.96% for classifying mental state using the O1 sensor on the Emotiv headset.
{"title":"Cognitive stress recognition","authors":"Taylor K. Calibo, Justin A. Blanco, S. Firebaugh","doi":"10.1109/I2MTC.2013.6555658","DOIUrl":"https://doi.org/10.1109/I2MTC.2013.6555658","url":null,"abstract":"This work explores using a low-cost electroencephalography (EEG) headset to quantify the human response to stressed and non-stressed states. We used a Stroop color-word interference test to elicit a mild stress response in 18 test subjects while recording scalp EEG. EEG signals were analyzed using an algorithm that computed the root mean square voltage in the beta, alpha, and theta bands immediately following the presentation of the Stroop stimuli. These features were then used as inputs to logistic regression and k-nearest neighbor classifiers. Results showed that there was a median accuracy of 73.96% for classifying mental state using the O1 sensor on the Emotiv headset.","PeriodicalId":432388,"journal":{"name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128183581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-06DOI: 10.1109/I2MTC.2013.6555684
L. Ciani, L. Cristaldi, M. Faifer, M. Lazzaroni, M. Rossi
Nowadays the world energy infrastructure is subjected to a progressive transformation. In fact it is already possible to notice the growing number of distributed small generation units, based on different technologies, directly connected to the power grid. At present the energy that can be produced by the sun and wind seem to be the most promising renewable energy sources. The use of the solar energy requires to optimize the efficiency of the converting chain and to maintain the performances of the system. These requirements highlight the need to equip photovoltaic (PV) plants with efficient condition monitoring tools. In this paper a hardware solution for monitoring system that allows implementing algorithm devoted to check the dependability of the PV panels and to improve the overall system efficiency is presented.
{"title":"Design and implementation of a on-board device for photovoltaic panels monitoring","authors":"L. Ciani, L. Cristaldi, M. Faifer, M. Lazzaroni, M. Rossi","doi":"10.1109/I2MTC.2013.6555684","DOIUrl":"https://doi.org/10.1109/I2MTC.2013.6555684","url":null,"abstract":"Nowadays the world energy infrastructure is subjected to a progressive transformation. In fact it is already possible to notice the growing number of distributed small generation units, based on different technologies, directly connected to the power grid. At present the energy that can be produced by the sun and wind seem to be the most promising renewable energy sources. The use of the solar energy requires to optimize the efficiency of the converting chain and to maintain the performances of the system. These requirements highlight the need to equip photovoltaic (PV) plants with efficient condition monitoring tools. In this paper a hardware solution for monitoring system that allows implementing algorithm devoted to check the dependability of the PV panels and to improve the overall system efficiency is presented.","PeriodicalId":432388,"journal":{"name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128573942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-06DOI: 10.1109/I2MTC.2013.6555708
Won-Jae Yi, Sufeng Niu, T. Gonnot, J. Saniie
In this paper, we introduce a wireless body sensor network (BSN) system architecture with sensor data collection, signal processing, analysis and transmission capabilities. These capabilities are established on an intelligent Personal Communication Node (iPCN) consisting of an FPGA board and/or an Android smartphone with wireless connections to sensor nodes and a central server. We demonstrate signal processing feasibility for both iPCN candidates by observing Fast Fourier Transform (FFT) computation performance. Acceleration, temperature, electrocardiography (ECG) and phonocardiography (PCG) signal data collections using an Android smartphone are established for data transmissions and graphical/numerical display in real-time. Wireless protocols such as Near Field Communication (NFC), Bluetooth, Wi-Fi and cellular data network connections are used for data transmission. This basic system emphasizes the capability to mobilize and enable remote diagnosis of system users while maintaining normal day-to-day activities.
{"title":"System architecture of intelligent personal communication node for body sensor network","authors":"Won-Jae Yi, Sufeng Niu, T. Gonnot, J. Saniie","doi":"10.1109/I2MTC.2013.6555708","DOIUrl":"https://doi.org/10.1109/I2MTC.2013.6555708","url":null,"abstract":"In this paper, we introduce a wireless body sensor network (BSN) system architecture with sensor data collection, signal processing, analysis and transmission capabilities. These capabilities are established on an intelligent Personal Communication Node (iPCN) consisting of an FPGA board and/or an Android smartphone with wireless connections to sensor nodes and a central server. We demonstrate signal processing feasibility for both iPCN candidates by observing Fast Fourier Transform (FFT) computation performance. Acceleration, temperature, electrocardiography (ECG) and phonocardiography (PCG) signal data collections using an Android smartphone are established for data transmissions and graphical/numerical display in real-time. Wireless protocols such as Near Field Communication (NFC), Bluetooth, Wi-Fi and cellular data network connections are used for data transmission. This basic system emphasizes the capability to mobilize and enable remote diagnosis of system users while maintaining normal day-to-day activities.","PeriodicalId":432388,"journal":{"name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129559341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-06DOI: 10.1109/I2MTC.2013.6555558
C. S. Silva, J. Pontes, J. Viana, L. Rocha, J. Gaspar
A combined fabrication process using polymer and silicon planar microtechnologies is presented here and used for the fabrication of a fully-integrated three-axis thermal accelerometer. The use of polymers (polystyrene and polyimide) with low thermal conductivities improves the overall power consumption of the thermal accelerometer and enables a simple and low-cost fabrication process. The accelerometer is composed of 4 polystyrene microinjected structural microparts (two identical top parts and two identical central parts) and three polyimide membranes (two identical z-axis membranes and a central membrane). The microinjected parts provide the mechanical support for the active elements that are placed on the membranes (the heater and the temperature sensors). Fabricated microparts and membranes are presented and measurements performed on central membranes are used to characterize the heater. Experimental results reveal that a power of 58 mW is required to increase the temperature in the heater to 580K.
{"title":"A fully integrated three-axis thermal accelerometer","authors":"C. S. Silva, J. Pontes, J. Viana, L. Rocha, J. Gaspar","doi":"10.1109/I2MTC.2013.6555558","DOIUrl":"https://doi.org/10.1109/I2MTC.2013.6555558","url":null,"abstract":"A combined fabrication process using polymer and silicon planar microtechnologies is presented here and used for the fabrication of a fully-integrated three-axis thermal accelerometer. The use of polymers (polystyrene and polyimide) with low thermal conductivities improves the overall power consumption of the thermal accelerometer and enables a simple and low-cost fabrication process. The accelerometer is composed of 4 polystyrene microinjected structural microparts (two identical top parts and two identical central parts) and three polyimide membranes (two identical z-axis membranes and a central membrane). The microinjected parts provide the mechanical support for the active elements that are placed on the membranes (the heater and the temperature sensors). Fabricated microparts and membranes are presented and measurements performed on central membranes are used to characterize the heater. Experimental results reveal that a power of 58 mW is required to increase the temperature in the heater to 580K.","PeriodicalId":432388,"journal":{"name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129569479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-06DOI: 10.1109/I2MTC.2013.6555646
N. Paulter, John R. Jendzurski, Michael M. McTigue, Bill Hagerup, T. Linnenbrink
The Technical Committee 10 (TC-10) of the IEEE Instrumentation and Measurement Society initiated a new standards activity in 2006 for the development of test methods to characterize the performance of circuit probes. This standard contains a set of performance parameters that describe probe performance along with a test method for each of these parameters. All test methods consider both single-ended and differential probes. The probes may be either stand alone, that is, they are not necessarily constrained to operate with one model of waveform recorder (such as an oscilloscope), or a probe-scope system, where the probe is designed by the probe manufacturer to work with one or more models of oscilloscopes. The probes considered in this standard are all active high-input impedance devices. Both static and dynamic signal measuring performance parameters are considered in the P1696. The key to accurate measurements of the dynamic signal measurement properties of the probe is a quality test fixture, which is described in the standard.
{"title":"The forthcoming IEEE standard 1696 on test methods for characterizing circuit probes","authors":"N. Paulter, John R. Jendzurski, Michael M. McTigue, Bill Hagerup, T. Linnenbrink","doi":"10.1109/I2MTC.2013.6555646","DOIUrl":"https://doi.org/10.1109/I2MTC.2013.6555646","url":null,"abstract":"The Technical Committee 10 (TC-10) of the IEEE Instrumentation and Measurement Society initiated a new standards activity in 2006 for the development of test methods to characterize the performance of circuit probes. This standard contains a set of performance parameters that describe probe performance along with a test method for each of these parameters. All test methods consider both single-ended and differential probes. The probes may be either stand alone, that is, they are not necessarily constrained to operate with one model of waveform recorder (such as an oscilloscope), or a probe-scope system, where the probe is designed by the probe manufacturer to work with one or more models of oscilloscopes. The probes considered in this standard are all active high-input impedance devices. Both static and dynamic signal measuring performance parameters are considered in the P1696. The key to accurate measurements of the dynamic signal measurement properties of the probe is a quality test fixture, which is described in the standard.","PeriodicalId":432388,"journal":{"name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127006219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-06DOI: 10.1109/I2MTC.2013.6555445
S. Liao, N. Gopalsami, S. Bakhtiari, T. Elmer, A. C. Raptis
A universal, mixerless millimeter wave (mmW) Doppler radar architecture consisting of simply a Continuous Wave (CW) source and an intensity detector based on optical interferometry technique has been assembled. The phase information is obtained by using an oscillating mirror in the reference arm, similar to that used by the FTIR (Fourier Transform Infrared spectroscopy) technique. The reference mirror oscillates at a frequency that is higher than twice the Doppler frequency of the object. Rigorous mathematical formulas have been derived to solve for both the amplitude and the phase of the Doppler signal, by using the Low-Frequency-Band (LFB) and High-Frequency-Band (HFB) signals. The Doppler frequency signature of a moving object can be obtained from the Fourier transform of the phase. A prototype at 94 GHz was built and tested using a ball pendulum target moving over a full-swing distance much smaller than a wavelength. Both the measured amplitude and phase have been shown to agree well with the experimental parameters. The interferometric Doppler radar architecture is universal and can be extended to THz without significant change of components.
{"title":"A novel interferometric millimeter wave Doppler radar architecture","authors":"S. Liao, N. Gopalsami, S. Bakhtiari, T. Elmer, A. C. Raptis","doi":"10.1109/I2MTC.2013.6555445","DOIUrl":"https://doi.org/10.1109/I2MTC.2013.6555445","url":null,"abstract":"A universal, mixerless millimeter wave (mmW) Doppler radar architecture consisting of simply a Continuous Wave (CW) source and an intensity detector based on optical interferometry technique has been assembled. The phase information is obtained by using an oscillating mirror in the reference arm, similar to that used by the FTIR (Fourier Transform Infrared spectroscopy) technique. The reference mirror oscillates at a frequency that is higher than twice the Doppler frequency of the object. Rigorous mathematical formulas have been derived to solve for both the amplitude and the phase of the Doppler signal, by using the Low-Frequency-Band (LFB) and High-Frequency-Band (HFB) signals. The Doppler frequency signature of a moving object can be obtained from the Fourier transform of the phase. A prototype at 94 GHz was built and tested using a ball pendulum target moving over a full-swing distance much smaller than a wavelength. Both the measured amplitude and phase have been shown to agree well with the experimental parameters. The interferometric Doppler radar architecture is universal and can be extended to THz without significant change of components.","PeriodicalId":432388,"journal":{"name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"09 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127219095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2013-05-06DOI: 10.1109/I2MTC.2013.6555469
G. Bucci, F. Ciancetta, E. Fiorucci, D. Gallo, C. Landi, M. Luiso
The paper deals with a low-cost transducer that implements an improved technique for wind speed measurement in open air. The instrument is a 2-axis ultrasonic anemometer, capable of monitoring both wind speed and direction. Its main advantage is that using the ultrasonic technique it has no moving parts, allowing for the utilization in a variety of applications requiring low maintenance and fast response to rapid wind gusts. Wind speed measurement for power turbine control can be considered as a reference application of it. The proposed instrument presents a simple design and is constructed using commercially available components, to reduce development costs. In the paper the proposed architecture is presented, discussing the algorithm applied to process the transduced ultrasonic signals. Some results obtained during the first tests are also presented and discussed, suggesting for successive improvements.
{"title":"A low-cost ultrasonic wind speed and direction measurement system","authors":"G. Bucci, F. Ciancetta, E. Fiorucci, D. Gallo, C. Landi, M. Luiso","doi":"10.1109/I2MTC.2013.6555469","DOIUrl":"https://doi.org/10.1109/I2MTC.2013.6555469","url":null,"abstract":"The paper deals with a low-cost transducer that implements an improved technique for wind speed measurement in open air. The instrument is a 2-axis ultrasonic anemometer, capable of monitoring both wind speed and direction. Its main advantage is that using the ultrasonic technique it has no moving parts, allowing for the utilization in a variety of applications requiring low maintenance and fast response to rapid wind gusts. Wind speed measurement for power turbine control can be considered as a reference application of it. The proposed instrument presents a simple design and is constructed using commercially available components, to reduce development costs. In the paper the proposed architecture is presented, discussing the algorithm applied to process the transduced ultrasonic signals. Some results obtained during the first tests are also presented and discussed, suggesting for successive improvements.","PeriodicalId":432388,"journal":{"name":"2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130145721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：