Pub Date : 2019-05-01DOI: 10.1109/I2MTC.2019.8826870
Meiying Guo, K. Wu, Jiamin Yao, Yi Wen, Zhenxing Li, Lijun Wang
Free-fall absolute gravimeters are widely employed to measure the gravitational acceleration, commonly known as g. It applies an interferometer to measure the trajectory of a free-falling object. The measurement precision of the absolute gravimeters is limited by the ground vibration. A vibration correction method is often applied in a noisy environment including a moving platform, sometimes it is required to get the g value quickly. It takes much time about 6 min to calculate the g value for one set measurement (no less than 25 drops). In order to quickly and accurately obtain the g value in hostile environments, there are two modifying methods including applying a lower sampling rate than original sampling rate of the vibration signal, and applying a division on trajectory data method. An equally spaced in distance division method is used. The results show, when applying the sampling rate of the vibration signal 1 MHz and the division factor 14, the total consumption time is reduced to one quarter of the time, from about 6 min to 1.5 min. Meanwhile, the error between the corrected results with and without the modifying methods is below 10 μGal, and the standard deviation of the g value has no significant change. In the future, promisingly it will be used to quick and precise dynamic absolute gravity measurement in hostile environments.
{"title":"Reducing the Time Consumption of Vibration Correction Methods for Absolute Gravimeters","authors":"Meiying Guo, K. Wu, Jiamin Yao, Yi Wen, Zhenxing Li, Lijun Wang","doi":"10.1109/I2MTC.2019.8826870","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826870","url":null,"abstract":"Free-fall absolute gravimeters are widely employed to measure the gravitational acceleration, commonly known as g. It applies an interferometer to measure the trajectory of a free-falling object. The measurement precision of the absolute gravimeters is limited by the ground vibration. A vibration correction method is often applied in a noisy environment including a moving platform, sometimes it is required to get the g value quickly. It takes much time about 6 min to calculate the g value for one set measurement (no less than 25 drops). In order to quickly and accurately obtain the g value in hostile environments, there are two modifying methods including applying a lower sampling rate than original sampling rate of the vibration signal, and applying a division on trajectory data method. An equally spaced in distance division method is used. The results show, when applying the sampling rate of the vibration signal 1 MHz and the division factor 14, the total consumption time is reduced to one quarter of the time, from about 6 min to 1.5 min. Meanwhile, the error between the corrected results with and without the modifying methods is below 10 μGal, and the standard deviation of the g value has no significant change. In the future, promisingly it will be used to quick and precise dynamic absolute gravity measurement in hostile environments.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123915949","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 : 2019-05-01DOI: 10.1109/I2MTC.2019.8827124
T. Xue, Chenyang Li, Qian Wang
Due to its advantages of non-invasion and high temporal-spatial resolution, Planar Laser-induced Fluorescence (PLIF) is widely applied to measure the liquid film which is significant for heat and mass transfer. In the circumferential liquid film measurement, the image distortion is led by the refractive index difference between the air, water and the circular pipe wall. Traditionally this issue is eased by installing an extra refractive index matching box outside the pipe or corrected by a calibration target. In this paper, an optical path analysis is carried out to calibrate the distortion which needs not any extra equipment. The analysis is conducted on different planes. And the non-distortion images are reconstructed by means of image processing. To verify the method, the average film thickness is extracted and compared with the classical prediction models. The result is in good agreements with the predictions which indicates this method is capable for the image distortion correction and measurements of circumferential liquid film.
{"title":"Optical Analysis and Correction for Circumferential Liquid Film Measurement Based on Planar Laser-induced Fluorescence Method","authors":"T. Xue, Chenyang Li, Qian Wang","doi":"10.1109/I2MTC.2019.8827124","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827124","url":null,"abstract":"Due to its advantages of non-invasion and high temporal-spatial resolution, Planar Laser-induced Fluorescence (PLIF) is widely applied to measure the liquid film which is significant for heat and mass transfer. In the circumferential liquid film measurement, the image distortion is led by the refractive index difference between the air, water and the circular pipe wall. Traditionally this issue is eased by installing an extra refractive index matching box outside the pipe or corrected by a calibration target. In this paper, an optical path analysis is carried out to calibrate the distortion which needs not any extra equipment. The analysis is conducted on different planes. And the non-distortion images are reconstructed by means of image processing. To verify the method, the average film thickness is extracted and compared with the classical prediction models. The result is in good agreements with the predictions which indicates this method is capable for the image distortion correction and measurements of circumferential liquid film.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114989129","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 : 2019-05-01DOI: 10.1109/I2MTC.2019.8826935
Yang Tao, Hanyang Xu, J. S. Avila, C. Ktistis, W. Yin, A. Peyton
In eddy current testing (ECT), feature extraction methods play an important role in the detection and classification of defects. Convolutional sparse coding (CSC) has gained attentions in recent years as this can provide a versatile framework in the description of signal and rich options for effective discrimination and classification algorithms. In this paper, we propose a feature extraction method which for the first time applies the CSC model for ECT. The local dictionary in the model is trained using signal segments corresponding to scans of defects. The proposed algorithm has achieved 98% accuracy in terms of the recovery of the location of defect signal segments. The recovered coefficients are adopted as unique features which eventually correspond to the profiles of the defect.
{"title":"Defect Feature Extraction in Eddy Current Testing Based on Convolutional Sparse Coding","authors":"Yang Tao, Hanyang Xu, J. S. Avila, C. Ktistis, W. Yin, A. Peyton","doi":"10.1109/I2MTC.2019.8826935","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826935","url":null,"abstract":"In eddy current testing (ECT), feature extraction methods play an important role in the detection and classification of defects. Convolutional sparse coding (CSC) has gained attentions in recent years as this can provide a versatile framework in the description of signal and rich options for effective discrimination and classification algorithms. In this paper, we propose a feature extraction method which for the first time applies the CSC model for ECT. The local dictionary in the model is trained using signal segments corresponding to scans of defects. The proposed algorithm has achieved 98% accuracy in terms of the recovery of the location of defect signal segments. The recovered coefficients are adopted as unique features which eventually correspond to the profiles of the defect.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116463043","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 : 2019-05-01DOI: 10.1109/I2MTC.2019.8826943
Lide Fang, Xiaofei Yu, Qiaoqiao Zeng, Ning Zhao, Xiaoting Li
the quality of ultrasonic transducer has a direct impact on the performance of ultrasonic flowmeter, the ultrasonic transducer function is converting the electrical signal to mechanical signal and mechanical signal to electrical signal, this process realizes the generation and reception of ultrasonic waves. The electrical signals of the excitation transducer are different, causing the effect of the transmitting transducer to be different. Based on different excitation signals, the transmitting transducer is urged to study the difference of receiving a signal under various excitations. At the same time, a COMSOL simulation method was proposed to simulate different excitation methods for single-channel ultrasound probes, and the difference in sound field distribution during transmission. Experiments verify the rationality of simulation results. The excitation signal is selected as a square wave, sine wave, with different burst number and burst time interval as the signal entry. Discuss the parameters such as the propagation trajectory, propagation time and sound pressure distribution of ultrasonic waves with the variation of excitation mode, and analyze its influence on the received signal.
{"title":"Excitation Characteristics of Ultrasonic Probe","authors":"Lide Fang, Xiaofei Yu, Qiaoqiao Zeng, Ning Zhao, Xiaoting Li","doi":"10.1109/I2MTC.2019.8826943","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826943","url":null,"abstract":"the quality of ultrasonic transducer has a direct impact on the performance of ultrasonic flowmeter, the ultrasonic transducer function is converting the electrical signal to mechanical signal and mechanical signal to electrical signal, this process realizes the generation and reception of ultrasonic waves. The electrical signals of the excitation transducer are different, causing the effect of the transmitting transducer to be different. Based on different excitation signals, the transmitting transducer is urged to study the difference of receiving a signal under various excitations. At the same time, a COMSOL simulation method was proposed to simulate different excitation methods for single-channel ultrasound probes, and the difference in sound field distribution during transmission. Experiments verify the rationality of simulation results. The excitation signal is selected as a square wave, sine wave, with different burst number and burst time interval as the signal entry. Discuss the parameters such as the propagation trajectory, propagation time and sound pressure distribution of ultrasonic waves with the variation of excitation mode, and analyze its influence on the received signal.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123721641","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 : 2019-05-01DOI: 10.1109/I2MTC.2019.8827090
D. Belega, D. Petri
This paper investigates the accuracies of the sine-wave amplitude and phase estimators provided by an enhanced Frequency-domain Linear Least-Squares (e-FLLS) algorithm recently proposed in the literature. The e-FLLS algorithm adopts the rectangular window and it considers three Discrete Time Fourier Transform (DTFT) samples to compensate the contribution of the spectral image component. Analytical expressions for the Mean Squares Errors (MSEs) of the e-FLLS amplitude and phase estimators are derived and their accuracies are verified by means of computer simulations. Moreover, the accuracies of the amplitude and phase estimators provided by the e-FLLS algorithm, the classical three-parameter sine-fit (3PSF) method, and the weighted three-parameter sine-fit (W3PSF) algorithm are compared each other through both theoretical and simulation results.
{"title":"Accuracy Analysis of an Enhanced Frequency-Domain Linear Least-Squares Algorithm","authors":"D. Belega, D. Petri","doi":"10.1109/I2MTC.2019.8827090","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827090","url":null,"abstract":"This paper investigates the accuracies of the sine-wave amplitude and phase estimators provided by an enhanced Frequency-domain Linear Least-Squares (e-FLLS) algorithm recently proposed in the literature. The e-FLLS algorithm adopts the rectangular window and it considers three Discrete Time Fourier Transform (DTFT) samples to compensate the contribution of the spectral image component. Analytical expressions for the Mean Squares Errors (MSEs) of the e-FLLS amplitude and phase estimators are derived and their accuracies are verified by means of computer simulations. Moreover, the accuracies of the amplitude and phase estimators provided by the e-FLLS algorithm, the classical three-parameter sine-fit (3PSF) method, and the weighted three-parameter sine-fit (W3PSF) algorithm are compared each other through both theoretical and simulation results.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116813434","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 : 2019-05-01DOI: 10.1109/I2MTC.2019.8826989
Z. Szadkowski, A. Szadkowska
The paper discusses the consequence of a standard approach (known as “Golden Rules”) to data acquisition for any surface detector of the cosmic rays experiments. When digitizing the analog signal, the spectrum is usually cut-off according to the Nyquist theorem. The cut-off frequency is set on a half of the sampling frequency. This approach allows avoiding aliasing effects. Nevertheless, if the signals, which we expect to detect, are very short with fast attenuated tails the anti-aliasing filter may dramatically reduce their amplitudes which in consequence may violate the standard trigger conditions. We analyzed large numbers of ADC traces detected by the prototype Front-End Board (FEB) based on the CycloneV FPGA 5CEFA9F31I7. The prototype FEB was not equipped with the anti-aliasing filter. We compared the original traces with filtered off-line in MATLAB. We see that a non-negligible number of events may be lost if the anti-aliasing hardware filter is implemented on the FEB.
{"title":"DAQ Golden Rules in the Anti-Aliasing Bessel Filter vs. Potentially Lost Events in the Surface Detectors in Cosmic Rays Experiments","authors":"Z. Szadkowski, A. Szadkowska","doi":"10.1109/I2MTC.2019.8826989","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826989","url":null,"abstract":"The paper discusses the consequence of a standard approach (known as “Golden Rules”) to data acquisition for any surface detector of the cosmic rays experiments. When digitizing the analog signal, the spectrum is usually cut-off according to the Nyquist theorem. The cut-off frequency is set on a half of the sampling frequency. This approach allows avoiding aliasing effects. Nevertheless, if the signals, which we expect to detect, are very short with fast attenuated tails the anti-aliasing filter may dramatically reduce their amplitudes which in consequence may violate the standard trigger conditions. We analyzed large numbers of ADC traces detected by the prototype Front-End Board (FEB) based on the CycloneV FPGA 5CEFA9F31I7. The prototype FEB was not equipped with the anti-aliasing filter. We compared the original traces with filtered off-line in MATLAB. We see that a non-negligible number of events may be lost if the anti-aliasing hardware filter is implemented on the FEB.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124116623","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 : 2019-05-01DOI: 10.1109/I2MTC.2019.8827133
M. Abou-Khousa
Cylindrical microwave imaging systems have shown practical potential in wide range of biomedical and industrial applications. In this paper, the design of new wideband circular microwave imaging array is introduced. The imaging array consists of staggered 32 waveguide-fed rectangular apertures cut into the wall of metallic cylinder. The array operates over the frequency range from 9 – 14 GHz. Monostatic sensing and imaging inside the cylinder is accomplished using a custom-made 1-to-32 switch. The design and characterization of the array as well as preliminary imaging results are detailed herein.
{"title":"Wideband Circular Microwave Imaging Array Embedded into Metallic Cylinder","authors":"M. Abou-Khousa","doi":"10.1109/I2MTC.2019.8827133","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827133","url":null,"abstract":"Cylindrical microwave imaging systems have shown practical potential in wide range of biomedical and industrial applications. In this paper, the design of new wideband circular microwave imaging array is introduced. The imaging array consists of staggered 32 waveguide-fed rectangular apertures cut into the wall of metallic cylinder. The array operates over the frequency range from 9 – 14 GHz. Monostatic sensing and imaging inside the cylinder is accomplished using a custom-made 1-to-32 switch. The design and characterization of the array as well as preliminary imaging results are detailed herein.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128166739","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 : 2019-05-01DOI: 10.1109/I2MTC.2019.8827004
M. Camboim, O. Baiocchi, A. W. R. Villarim, S. Catunda, C. P. Souza, C. Moreira
Thermoelectricity energy harvesting based on the thermoelectric generator (TEG) has had a prominent role in energy harvesting solutions since they have dramatically grown recently due to the existence of significant thermal gradients $Delta{{mathrm {T}}}$ in both natural and industrial environments. However, to prove that a given environment is adequate to generate energy is a hard task. In order to early evaluate the potential of a given environment to get enough thermal energy to be converted to electric energy, we propose in this paper an automatic emulation system of thermal energy that can be used with any thermal source in a simple way. Experimental results show that the proposed platform can emulate any thermal gradient pattern, apply this pattern on a TEG and measure the actual electric energy generated by the TEG. An example of application is described, and the results are shown. The example is an experiment to harvest energy from tree trunks.
{"title":"An Automatic Emulation System for Environmental Thermal Energy Harvesting","authors":"M. Camboim, O. Baiocchi, A. W. R. Villarim, S. Catunda, C. P. Souza, C. Moreira","doi":"10.1109/I2MTC.2019.8827004","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8827004","url":null,"abstract":"Thermoelectricity energy harvesting based on the thermoelectric generator (TEG) has had a prominent role in energy harvesting solutions since they have dramatically grown recently due to the existence of significant thermal gradients $Delta{{mathrm {T}}}$ in both natural and industrial environments. However, to prove that a given environment is adequate to generate energy is a hard task. In order to early evaluate the potential of a given environment to get enough thermal energy to be converted to electric energy, we propose in this paper an automatic emulation system of thermal energy that can be used with any thermal source in a simple way. Experimental results show that the proposed platform can emulate any thermal gradient pattern, apply this pattern on a TEG and measure the actual electric energy generated by the TEG. An example of application is described, and the results are shown. The example is an experiment to harvest energy from tree trunks.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127175639","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 : 2019-05-01DOI: 10.1109/I2MTC.2019.8826891
Han Zhang, Xuefeng Chen, Xiaoli Zhang
The highly overlapping distortion characteristic of high speed aero-engine bearing faults violates the fundamental assumption of popular bearing fault diagnostic techniques which assume that every impulse has a distinct exponential-decaying pattern. Therefore, a tailored clustering low rank framework (coined as CluLR) is proposed for the feature detection of aero-engine bearings. This work firstly explores the underlying prior information that fault features demonstrate multiple similarity structures in a transformed data matrix obtained through employing an elaborately designed partition operator. Then, incorporating the clustering procedure into low-rank regularization model, the proposed CluLR guarantees that different similarity information is reliably concentrated onto their matched low-rank domains, which effectively eliminates the singular value overlapping coherent pathology. Consequently, weak features as well as strong features could be detected simultaneously. Moreover, an alternative minimization algorithm adopted from block coordinate descent framework is developed to solve the two-stage nonsmooth and nonconvex problem. Lastly, compared with the state-of-the-art bearing diagnosis techniques, the proposed CluLR’s superiority is sufficiently verified through its application to the experimental data from an aero-engine bearing under 25000 rev/min for overlapping distorted feature detection tasks.
{"title":"A clustering low-rank approach for aero-enging bearing fault detection","authors":"Han Zhang, Xuefeng Chen, Xiaoli Zhang","doi":"10.1109/I2MTC.2019.8826891","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826891","url":null,"abstract":"The highly overlapping distortion characteristic of high speed aero-engine bearing faults violates the fundamental assumption of popular bearing fault diagnostic techniques which assume that every impulse has a distinct exponential-decaying pattern. Therefore, a tailored clustering low rank framework (coined as CluLR) is proposed for the feature detection of aero-engine bearings. This work firstly explores the underlying prior information that fault features demonstrate multiple similarity structures in a transformed data matrix obtained through employing an elaborately designed partition operator. Then, incorporating the clustering procedure into low-rank regularization model, the proposed CluLR guarantees that different similarity information is reliably concentrated onto their matched low-rank domains, which effectively eliminates the singular value overlapping coherent pathology. Consequently, weak features as well as strong features could be detected simultaneously. Moreover, an alternative minimization algorithm adopted from block coordinate descent framework is developed to solve the two-stage nonsmooth and nonconvex problem. Lastly, compared with the state-of-the-art bearing diagnosis techniques, the proposed CluLR’s superiority is sufficiently verified through its application to the experimental data from an aero-engine bearing under 25000 rev/min for overlapping distorted feature detection tasks.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127187655","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 : 2019-05-01DOI: 10.1109/I2MTC.2019.8826819
B. Ooi, W. Beh, W. Lee, S. Shirmohammadi
Tracking the status of manufacturing systems is important for analyzing the performance of a manufacturing process. Unfortunately, legacy manufacturing systems are technologies from the yesteryears which have no Internet connectivity and very often are not programmable. Gathering operational information of such systems is often done manually with poor temporal resolution. This work proposes an Internet-of-things (IoT) approach that uses vibration sensors to track the operation status of legacy manufacturing systems. One of the challenges of using vibration data is to identify the meaning of the vibration without prior knowledge of the vibration profile and without the privilege to interrupt the manufacturing process. Although there are many existing works that capture and analyze vibration data, these existing works very often only focus on fault diagnosis and prognosis. Our work focuses on using the vibration data to monitor the operation status of a manufacturing machine. Experimental results show that the proposed vibration analysis method is able to track the operation status of a machine with more than 90% accuracy, in the worst case with 90.2% and standard uncertainty of 3.6%.
{"title":"Operation Status Tracking for Legacy Manufacturing Systems via Vibration Analysis","authors":"B. Ooi, W. Beh, W. Lee, S. Shirmohammadi","doi":"10.1109/I2MTC.2019.8826819","DOIUrl":"https://doi.org/10.1109/I2MTC.2019.8826819","url":null,"abstract":"Tracking the status of manufacturing systems is important for analyzing the performance of a manufacturing process. Unfortunately, legacy manufacturing systems are technologies from the yesteryears which have no Internet connectivity and very often are not programmable. Gathering operational information of such systems is often done manually with poor temporal resolution. This work proposes an Internet-of-things (IoT) approach that uses vibration sensors to track the operation status of legacy manufacturing systems. One of the challenges of using vibration data is to identify the meaning of the vibration without prior knowledge of the vibration profile and without the privilege to interrupt the manufacturing process. Although there are many existing works that capture and analyze vibration data, these existing works very often only focus on fault diagnosis and prognosis. Our work focuses on using the vibration data to monitor the operation status of a manufacturing machine. Experimental results show that the proposed vibration analysis method is able to track the operation status of a machine with more than 90% accuracy, in the worst case with 90.2% and standard uncertainty of 3.6%.","PeriodicalId":132588,"journal":{"name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129978397","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：