Pub Date : 2019-09-09DOI: 10.1109/I2MTC.2019.8827036
J. McAlorum, G. Fusiek, T. Rubert, P. Niewczas
In this paper, preliminary results from a concrete fatigue experiment using a custom built machine are demonstrated. A pre-cracked concrete member is instrumented with bespoke metallic-bonded and epoxy-bonded fiber Bragg grating (FBG) displacement sensors, retrofitted over the crack. Fatigue loading is applied to the beam, with cycle magnitudes replicating results from a previous industrial trial concerning structural health monitoring (SHM) of a wind turbine foundation. Results are compared to an FEM model for verification. The new metallic-bonded crack displacement sensor design is compared in performance with the traditional epoxy-bonded design. Both sensors were sufficiently resilient under dynamic loading to successfully undergo 105 cycle fatigue test. The sensors display a linear relationship with respect to one another; however, from the initial thermal characterization of the devices between 20 and $65^{circ}C$, the epoxy-bonded sensor exhibited considerable drift with every subsequent temperature cycle while the metallic-bonded construction was stable within the experimental error. The set up can be used over a long term to validate in situ results from distributed SHM sensors and for initial testing of sensors and data analytics strategies prior to any future field installations.
{"title":"Concrete fatigue experiment for sensor prototyping and validation of industrial SHM trials","authors":"J. McAlorum, G. Fusiek, T. Rubert, P. Niewczas","doi":"10.1109/I2MTC.2019.8827036","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827036","url":null,"abstract":"In this paper, preliminary results from a concrete fatigue experiment using a custom built machine are demonstrated. A pre-cracked concrete member is instrumented with bespoke metallic-bonded and epoxy-bonded fiber Bragg grating (FBG) displacement sensors, retrofitted over the crack. Fatigue loading is applied to the beam, with cycle magnitudes replicating results from a previous industrial trial concerning structural health monitoring (SHM) of a wind turbine foundation. Results are compared to an FEM model for verification. The new metallic-bonded crack displacement sensor design is compared in performance with the traditional epoxy-bonded design. Both sensors were sufficiently resilient under dynamic loading to successfully undergo 105 cycle fatigue test. The sensors display a linear relationship with respect to one another; however, from the initial thermal characterization of the devices between 20 and $65^{circ}C$, the epoxy-bonded sensor exhibited considerable drift with every subsequent temperature cycle while the metallic-bonded construction was stable within the experimental error. The set up can be used over a long term to validate in situ results from distributed SHM sensors and for initial testing of sensors and data analytics strategies prior to any future field installations.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116665170","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 : 2019-05-20DOI: 10.1109/I2MTC.2019.8826994
F. Reverter, M. Gasulla
This work evaluates the performance of a timer-based demodulator applied to low-frequency amplitude-modulated (AM) square signals coming from sensor circuits. The demodulator extracts the amplitude of the AM square signal by measuring the period of a reference signal that is altered by the AM signal itself, as already suggested in a previous paper but for AM sinusoidal signals. The demodulation and digitization are carried out simultaneously via a digital timer and without requiring a rectifier, a mixer, a low-pass filter, or an analog-to-digital converter. In addition, a new method to extract the amplitude of the AM square signal, which cannot be applied to the sinusoidal case, is experimentally presented. This method shows advantages in terms of linearity, data processing, and simplicity of the circuitry to generate the signals involved in the measurement.
{"title":"Timer-based Demodulator for AM Square Signals coming from Sensor Circuits","authors":"F. Reverter, M. Gasulla","doi":"10.1109/I2MTC.2019.8826994","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826994","url":null,"abstract":"This work evaluates the performance of a timer-based demodulator applied to low-frequency amplitude-modulated (AM) square signals coming from sensor circuits. The demodulator extracts the amplitude of the AM square signal by measuring the period of a reference signal that is altered by the AM signal itself, as already suggested in a previous paper but for AM sinusoidal signals. The demodulation and digitization are carried out simultaneously via a digital timer and without requiring a rectifier, a mixer, a low-pass filter, or an analog-to-digital converter. In addition, a new method to extract the amplitude of the AM square signal, which cannot be applied to the sinusoidal case, is experimentally presented. This method shows advantages in terms of linearity, data processing, and simplicity of the circuitry to generate the signals involved in the measurement.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121993234","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 : 2019-05-20DOI: 10.1109/I2MTC.2019.8827049
Hongyu Zhang, Lijun Xu, Liuyong Chang, Z. Cao
In this paper, the WMS-2f method was introduced to determine the Doppler shift in tunable diode laser spectroscopy (TDLAS) velocimetry. The peak shift caused by the velocity was achieved from the cross correlation of amplitude peaks in two separate laser paths. In this way, the peak position in the WMS-2f signal can be located precisely, and the standard deviation of the measured velocity can be only one half of the classical peak picking method. As a result, the resolution and robustness of the velocity measurement were improved and the applications in low-speed flowing medium and harsh environment can be more feasible. Numerical simulations in cases of both uniform and nonuniform velocity profiles verified the feasibility and effectiveness of the proposed method.
{"title":"A robust Doppler shift-based velocimetry via using tuable diode laser absorption spectroscopy","authors":"Hongyu Zhang, Lijun Xu, Liuyong Chang, Z. Cao","doi":"10.1109/I2MTC.2019.8827049","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827049","url":null,"abstract":"In this paper, the WMS-2f method was introduced to determine the Doppler shift in tunable diode laser spectroscopy (TDLAS) velocimetry. The peak shift caused by the velocity was achieved from the cross correlation of amplitude peaks in two separate laser paths. In this way, the peak position in the WMS-2f signal can be located precisely, and the standard deviation of the measured velocity can be only one half of the classical peak picking method. As a result, the resolution and robustness of the velocity measurement were improved and the applications in low-speed flowing medium and harsh environment can be more feasible. Numerical simulations in cases of both uniform and nonuniform velocity profiles verified the feasibility and effectiveness of the proposed method.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132229853","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 : 2019-05-20DOI: 10.1109/I2MTC.2019.8826815
F. Reverter, M. Gasulla
This work aims to experimentally characterize the energy consumption of analog-to-digital converters (ADC) embedded into microcontroller units (MCU) operating in low power for autonomous sensor applications. The study is carried out at low and high operating frequencies, and for different numbers of conversion bits. In addition, this work not only takes into account the energy to do the conversion, but also the wake-up energy, which is implicit to any conversion performed by an embedded ADC. The contribution of this wake-up energy can be quite significant, especially when the conversion is performed at high frequency. Experimental tests have been done using a commercial low-power MCU (MSP430FR5969 from Texas Instruments) that includes a 12-bit ADC.
{"title":"Experimental Characterization of the Energy Consumption of ADC Embedded into Microcontrollers Operating in Low Power","authors":"F. Reverter, M. Gasulla","doi":"10.1109/I2MTC.2019.8826815","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826815","url":null,"abstract":"This work aims to experimentally characterize the energy consumption of analog-to-digital converters (ADC) embedded into microcontroller units (MCU) operating in low power for autonomous sensor applications. The study is carried out at low and high operating frequencies, and for different numbers of conversion bits. In addition, this work not only takes into account the energy to do the conversion, but also the wake-up energy, which is implicit to any conversion performed by an embedded ADC. The contribution of this wake-up energy can be quite significant, especially when the conversion is performed at high frequency. Experimental tests have been done using a commercial low-power MCU (MSP430FR5969 from Texas Instruments) that includes a 12-bit ADC.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131053549","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 : 2019-05-20DOI: 10.1109/I2MTC.2019.8826998
Cheng Zhang, H. Dong, J. Ge, Huan Liu, Jiahao Wang, W. Luo, Zhiwen Yuan, Jun Zhu, Haiyang Zhang
In practical applications of electromagnetic measurement while drilling (EM-MWD) in the underground coal mine, the signal-to-noise ratio (SNR) of the receiver cannot always meet the requirements of reliable communication conditions due to the earth-attenuation, interfering signal from a well site, etc. Traditional digital communication systems use independent design coding and modulation techniques to improve system performance. The coding is mainly achieved by introducing redundant bits and the improvement of error performance is at the expense of information rate. Aimed to solve this problem, we use a coding technique based on trellis coded modulation (TCM) to maximize the minimum distance between modulated output sequences and achieve significant coding gain. Simulation and experiments show that the system can improve the anti-noise performance of the system by obtaining a coding gain without reducing the transmission rate. Compared to the uncoded quadrature phase shift keying (QPSK), TCM can achieve a coding gain of at least 3 dB under the same transmitting rate. At that time, as the number of TCM system states or trace back depth increases, the coding gain is further enhanced. The TCM code modulation method can be used in an EM-MWD system to improve the system performance.
{"title":"Research on a TCM-based Transmission Approach for EM-MWD by Combining Phase Modulation and Convolutional Coding","authors":"Cheng Zhang, H. Dong, J. Ge, Huan Liu, Jiahao Wang, W. Luo, Zhiwen Yuan, Jun Zhu, Haiyang Zhang","doi":"10.1109/I2MTC.2019.8826998","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826998","url":null,"abstract":"In practical applications of electromagnetic measurement while drilling (EM-MWD) in the underground coal mine, the signal-to-noise ratio (SNR) of the receiver cannot always meet the requirements of reliable communication conditions due to the earth-attenuation, interfering signal from a well site, etc. Traditional digital communication systems use independent design coding and modulation techniques to improve system performance. The coding is mainly achieved by introducing redundant bits and the improvement of error performance is at the expense of information rate. Aimed to solve this problem, we use a coding technique based on trellis coded modulation (TCM) to maximize the minimum distance between modulated output sequences and achieve significant coding gain. Simulation and experiments show that the system can improve the anti-noise performance of the system by obtaining a coding gain without reducing the transmission rate. Compared to the uncoded quadrature phase shift keying (QPSK), TCM can achieve a coding gain of at least 3 dB under the same transmitting rate. At that time, as the number of TCM system states or trace back depth increases, the coding gain is further enhanced. The TCM code modulation method can be used in an EM-MWD system to improve the system performance.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115380698","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}
Heart-related ailments are one of the primary causes of death worldwide. Hence the early investigation of a heart for such ailments is crucial. Recent approaches for automated analysis of the heart sounds require segmentation of Phonocardiograms (PCG) signal. However, segmentation of PCG adds up to the complexity and expanded computational difficulty in the algorithm. Thereby, the main aim of this paper is to eliminate the segmentation process and to measure the benefit for accurate and detailed classification of short unsegmented 5 second PCG recordings. A novel approach for the classification of heart sounds that had been provided by PhysioNet2016 challenge, based on the convolutional neural network using a pre-trained (AlexNet) model has been analyzed in this study. After pre-processing short 5 second PCG recordings accompanied by continuous wavelet transform (CWT) results to the generation of 2D scalogram images. The scalogram images have been used to train and test Convolutional neural network based on deep learning. The proposed design has obtained comparable performance compared to the state-of-the-art methods. Test results have demonstrated that the proposed technique presents excellent performance outcomes by reducing segmentation complexity.
{"title":"Classification of short unsegmented heart sound based on deep learning","authors":"Sinam Ajitkumar Singh, Swanirbhar Majumder, Madhusudhan Mishra","doi":"10.1109/I2MTC.2019.8826991","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826991","url":null,"abstract":"Heart-related ailments are one of the primary causes of death worldwide. Hence the early investigation of a heart for such ailments is crucial. Recent approaches for automated analysis of the heart sounds require segmentation of Phonocardiograms (PCG) signal. However, segmentation of PCG adds up to the complexity and expanded computational difficulty in the algorithm. Thereby, the main aim of this paper is to eliminate the segmentation process and to measure the benefit for accurate and detailed classification of short unsegmented 5 second PCG recordings. A novel approach for the classification of heart sounds that had been provided by PhysioNet2016 challenge, based on the convolutional neural network using a pre-trained (AlexNet) model has been analyzed in this study. After pre-processing short 5 second PCG recordings accompanied by continuous wavelet transform (CWT) results to the generation of 2D scalogram images. The scalogram images have been used to train and test Convolutional neural network based on deep learning. The proposed design has obtained comparable performance compared to the state-of-the-art methods. Test results have demonstrated that the proposed technique presents excellent performance outcomes by reducing segmentation complexity.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115712882","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 : 2019-05-20DOI: 10.1109/I2MTC.2019.8826924
Harald Gietler, Christian Stetco, J. P. Leitzke, H. Zangl
Anti-icing and de-icing systems for aircraft wings are an extensively studied topic for many decades. Most of those systems try to determine if icing-conditions are present and prevent the wing from icing by a simple heating process. The determination of icing-conditions is either done visually by the pilot or by dedicated sensors. However, due to the harsh-conditions and high velocity of aircraft’s, measuring conditions such as temperature is very difficult. Consequently, the sensor information is very uncertain and for safety reasons the demand of heating energy is over-estimated. Also, the sensor units do not measure the on-wing temperature directly due to thermal resistances coupled with air and the wing. Hence, to obtain the actual on-wing temperature, statistical filtering methods are implemented and used by the controller of the heating system in order to stabilize the temperature on the wing surface. This prevents the wing from icing without over-heating which is beneficial for energy savings. This paper introduces an approach to accurately estimate and control the on-wing temperature using a wireless on-wing sensor.
{"title":"On-Wing Temperature Estimation and Control for Anti-Icing System on Aircraft","authors":"Harald Gietler, Christian Stetco, J. P. Leitzke, H. Zangl","doi":"10.1109/I2MTC.2019.8826924","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826924","url":null,"abstract":"Anti-icing and de-icing systems for aircraft wings are an extensively studied topic for many decades. Most of those systems try to determine if icing-conditions are present and prevent the wing from icing by a simple heating process. The determination of icing-conditions is either done visually by the pilot or by dedicated sensors. However, due to the harsh-conditions and high velocity of aircraft’s, measuring conditions such as temperature is very difficult. Consequently, the sensor information is very uncertain and for safety reasons the demand of heating energy is over-estimated. Also, the sensor units do not measure the on-wing temperature directly due to thermal resistances coupled with air and the wing. Hence, to obtain the actual on-wing temperature, statistical filtering methods are implemented and used by the controller of the heating system in order to stabilize the temperature on the wing surface. This prevents the wing from icing without over-heating which is beneficial for energy savings. This paper introduces an approach to accurately estimate and control the on-wing temperature using a wireless on-wing sensor.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116368267","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 : 2019-05-20DOI: 10.1109/I2MTC.2019.8827101
Hui Wang, Jiawen Xu, Ruqiang Yan
This paper presents a new bearing fault diagnostic method based on symmetrized dot pattern (SDP) and convolutional neural networks (CNNs). Firstly, a time-domain vibration signal is directly transformed into a snowflake image in the polar coordinate to visualize fault by using SDP technique, and the sample library of visual SDP graphs of each running state is established. Then, shape difference features of SDP images are automatically extracted by the designed CNNs model to form a feature vector. Finally, the formed feature vector is used as the input to a Softmax classifier for recognizing the bearing fault state. Relative to the fault visualization of time-frequency analysis methods, the snowflake image of bearing vibration signal is directly acquireded by SDP technique without Fourier transforms, which is simpler with better performance. Experimental results show that the proposed method using SDP and CNNs can not only accurately recognize the bearing states, but also identify the relative position that fault occurred. The proposed method is more applicable for intelligent fault diagnosis of rolling bearing with 100% diagnosis accuracy.
{"title":"Bearing Fault Diagnosis Based on Visual Symmetrized Dot Pattern and CNNs","authors":"Hui Wang, Jiawen Xu, Ruqiang Yan","doi":"10.1109/I2MTC.2019.8827101","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827101","url":null,"abstract":"This paper presents a new bearing fault diagnostic method based on symmetrized dot pattern (SDP) and convolutional neural networks (CNNs). Firstly, a time-domain vibration signal is directly transformed into a snowflake image in the polar coordinate to visualize fault by using SDP technique, and the sample library of visual SDP graphs of each running state is established. Then, shape difference features of SDP images are automatically extracted by the designed CNNs model to form a feature vector. Finally, the formed feature vector is used as the input to a Softmax classifier for recognizing the bearing fault state. Relative to the fault visualization of time-frequency analysis methods, the snowflake image of bearing vibration signal is directly acquireded by SDP technique without Fourier transforms, which is simpler with better performance. Experimental results show that the proposed method using SDP and CNNs can not only accurately recognize the bearing states, but also identify the relative position that fault occurred. The proposed method is more applicable for intelligent fault diagnosis of rolling bearing with 100% diagnosis accuracy.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121998949","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 : 2019-05-20DOI: 10.1109/I2MTC.2019.8826953
C. Morales-Perez, J. Rangel-Magdaleno, H. Peregrina-Barreto, J. Ramírez-Cortés, Emmanuel Vazquez-Pacheco
Induction Motors (IMs) have been extensively used in the industry due to their low-cost, fast installation, and easy operation. However, it is necessary to have adequate maintenance programs because sudden faults, in the IM, could lead in important financial losses. Several methods have been proposed in the literature, where the thermography images analysis is an excellent candidate due to it is a non-invasive and non-contact technique, avoiding problems that exist in traditional techniques as indirect and unnoticed interference from other equipment in the signal to analyze, e.g. vibration or current. In this paper, a methodology based on the analysis of the specific region in thermography images to detect bearing damage is developed. In this manner, a study of two common damages is performed. The analysis is performed in three regions in the IM, with mechanical load, and with different supply frequencies. The difference of temperature among the regions are studied and the results are shown a difference in about 1.8°C between healthy and damaged condition, enough difference to detect the damage in the bearing taking into account that the IM has a cooling fan in the back.
{"title":"Bearing Fault Detection Technique by using Thermal Images: A case of Study","authors":"C. Morales-Perez, J. Rangel-Magdaleno, H. Peregrina-Barreto, J. Ramírez-Cortés, Emmanuel Vazquez-Pacheco","doi":"10.1109/I2MTC.2019.8826953","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826953","url":null,"abstract":"Induction Motors (IMs) have been extensively used in the industry due to their low-cost, fast installation, and easy operation. However, it is necessary to have adequate maintenance programs because sudden faults, in the IM, could lead in important financial losses. Several methods have been proposed in the literature, where the thermography images analysis is an excellent candidate due to it is a non-invasive and non-contact technique, avoiding problems that exist in traditional techniques as indirect and unnoticed interference from other equipment in the signal to analyze, e.g. vibration or current. In this paper, a methodology based on the analysis of the specific region in thermography images to detect bearing damage is developed. In this manner, a study of two common damages is performed. The analysis is performed in three regions in the IM, with mechanical load, and with different supply frequencies. The difference of temperature among the regions are studied and the results are shown a difference in about 1.8°C between healthy and damaged condition, enough difference to detect the damage in the bearing taking into account that the IM has a cooling fan in the back.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126460268","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 : 2019-05-20DOI: 10.1109/I2MTC.2019.8827121
P. Arpaia, R. Corsini, A. Gilardi, K. Sjobak
An experimental campaign has been carried out at the European Organization for Nuclear Research (CERN) in order to estimate the wakefield kick in the X-Band accelerating structure of the future Compact LInear Collider (CLIC). The CLIC Project, currently under study, is an electron-positron collider with centre of mass energy of 3TeV and an instantaneous luminosity of $2 times 10^{34} {mathrm {cm}}^{-2} mathrm{s}^{-1}$. The X-Band accelerating structures are able to sustain an accelerating gradient of 100MV /m. The wakefield kick is an electromagnetic field perturbing the particle bunch. This campaign is carried out at the CERN Linear Electron Accelerator for Research (CLEAR). A beam-based method to align the accelerating structure to the beam trajectory with the use of a beam-screen is proposed in order to estimate the transverse wakefield kick. Aligning such a structure to the beam trajectory, with an accuracy of $3.5 mu mathrm{m}$, is a key point to achieve the above luminosity.
{"title":"Beam–based alignment of the CLIC high-gradient X-Band accelerating structure using beam-screen","authors":"P. Arpaia, R. Corsini, A. Gilardi, K. Sjobak","doi":"10.1109/I2MTC.2019.8827121","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827121","url":null,"abstract":"An experimental campaign has been carried out at the European Organization for Nuclear Research (CERN) in order to estimate the wakefield kick in the X-Band accelerating structure of the future Compact LInear Collider (CLIC). The CLIC Project, currently under study, is an electron-positron collider with centre of mass energy of 3TeV and an instantaneous luminosity of $2 times 10^{34} {mathrm {cm}}^{-2} mathrm{s}^{-1}$. The X-Band accelerating structures are able to sustain an accelerating gradient of 100MV /m. The wakefield kick is an electromagnetic field perturbing the particle bunch. This campaign is carried out at the CERN Linear Electron Accelerator for Research (CLEAR). A beam-based method to align the accelerating structure to the beam trajectory with the use of a beam-screen is proposed in order to estimate the transverse wakefield kick. Aligning such a structure to the beam trajectory, with an accuracy of $3.5 mu mathrm{m}$, is a key point to achieve the above luminosity.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127835038","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}
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