Pub Date : 2017-10-01DOI: 10.1109/ICEMI.2017.8265904
L. Jun, Wu Yan
The nonlinear dynamic sequence Bayesian estimation model consist of 2 parts, the recursive evaluation followed by the filtered and the estimation based on predictive distributions of unmeasured time-varying signal with noise. A new model based on the combination of particle filter (PF) and correlation named correlation particle filter (CPF) is proposed in this paper. On the other hand, the state smoothing is also used for this model. That weights the particles' importance according to the Spearman correlation coefficient between the noisy observations of measured signal and the particles' observations. The sample impoverishment problem is absent because the resampling step is removed in the correlation particle filter. The analysis and results simulated by the proposed model are shown to indicates the versatility and accuracy of the correlation particle filter over those PFs known by us such as the sequential importance resampling (SIR) model, and the Gaussian sum particle filter, the lower time complexity of the correlation particle filter than those PFs such as the SIR model the auxiliary particle filter (APF) and the regularized particle filter, and almost the same time complexity of CPF like Gaussian particle filter (GPF).
{"title":"Correlation particle filter","authors":"L. Jun, Wu Yan","doi":"10.1109/ICEMI.2017.8265904","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265904","url":null,"abstract":"The nonlinear dynamic sequence Bayesian estimation model consist of 2 parts, the recursive evaluation followed by the filtered and the estimation based on predictive distributions of unmeasured time-varying signal with noise. A new model based on the combination of particle filter (PF) and correlation named correlation particle filter (CPF) is proposed in this paper. On the other hand, the state smoothing is also used for this model. That weights the particles' importance according to the Spearman correlation coefficient between the noisy observations of measured signal and the particles' observations. The sample impoverishment problem is absent because the resampling step is removed in the correlation particle filter. The analysis and results simulated by the proposed model are shown to indicates the versatility and accuracy of the correlation particle filter over those PFs known by us such as the sequential importance resampling (SIR) model, and the Gaussian sum particle filter, the lower time complexity of the correlation particle filter than those PFs such as the SIR model the auxiliary particle filter (APF) and the regularized particle filter, and almost the same time complexity of CPF like Gaussian particle filter (GPF).","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"14 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130749707","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 : 2017-10-01DOI: 10.1109/ICEMI.2017.8265771
Xi Gongwei, Yu Chutian, Chen Weigen, Jin Lingfeng, Tang Sirui
Dissolved Gas Analysis (DGA) is one of the most effective method to diagnose the early latent fault in oil-immersed power transformer. Gas sensor detection technology is the core of DGA, which will directly affect the reliability and accuracy of the transformer condition monitoring and fault diagnosis. At present, since the development of gas sensor restricted by the characteristics of dispersion, low sensitivity, ageing or poisoning, therefore, it is actively significance to continuously study the gas sensing technology and develop new type gas detection sensor to improve the on-line monitoring level of gas dissolved in transformer oil. In this work, gas sensor array was developed by synthesizing the Ag/Zn/Cu/Pt-loaded SnO2 hybrid nanocomposite via hydrothermal method. The study of the relationship between input voltage and gas sensitivity, gas selection and the drift characteristics between temperature and humidity to two typical characteristic fault gases hydrogen (H2) and acetylene (C2H2) for as-prepared gas sensor array were carried out. In addition, based on combined intelligent algorithm (PCA-BPNN), the classification and quantitative research of mixed gases were analyzed and discussed. The results laying the foundation for the preparation of gas sensor which serve for the transformer condition monitoring and fault diagnosis.
{"title":"Study on the development and test method of SnO2-based gas sensor array for dissolved gas analysis","authors":"Xi Gongwei, Yu Chutian, Chen Weigen, Jin Lingfeng, Tang Sirui","doi":"10.1109/ICEMI.2017.8265771","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265771","url":null,"abstract":"Dissolved Gas Analysis (DGA) is one of the most effective method to diagnose the early latent fault in oil-immersed power transformer. Gas sensor detection technology is the core of DGA, which will directly affect the reliability and accuracy of the transformer condition monitoring and fault diagnosis. At present, since the development of gas sensor restricted by the characteristics of dispersion, low sensitivity, ageing or poisoning, therefore, it is actively significance to continuously study the gas sensing technology and develop new type gas detection sensor to improve the on-line monitoring level of gas dissolved in transformer oil. In this work, gas sensor array was developed by synthesizing the Ag/Zn/Cu/Pt-loaded SnO2 hybrid nanocomposite via hydrothermal method. The study of the relationship between input voltage and gas sensitivity, gas selection and the drift characteristics between temperature and humidity to two typical characteristic fault gases hydrogen (H2) and acetylene (C2H2) for as-prepared gas sensor array were carried out. In addition, based on combined intelligent algorithm (PCA-BPNN), the classification and quantitative research of mixed gases were analyzed and discussed. The results laying the foundation for the preparation of gas sensor which serve for the transformer condition monitoring and fault diagnosis.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130780084","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 : 2017-10-01DOI: 10.1109/ICEMI.2017.8265814
Chen Ruiqiong, Yang Ying, L. Ya, L. Xiaohui, Xue Yanrong
The pseudorange and carrier phase are two basic measurements of the GNSS receiver, both of them are different and complementary, The accuracy of pseudorange from a few meters to a few decimeters, which are frequently used in the low precision of the common-view comparison, it has the advantages of high speed and simple data processing. The carrier phase observation value actually represents the phase difference between the reference signals generated by the receiver. It is a carrier signal with Doppler shift and its accuracy is up to millimeter, It is often used in the high-accuracy of common-view comparison. But it exists the ambiguity uncertain problem, greatly increasing the difficulty of data processing. In this paper, two kinds of precision measurement methods are presented. one is direct using pseudorange observation value to common-view comparison, and the other is using the carrier phase value to smooth the pseudo-range observation value. After relevant experiments analysis, using the original pseudorange measurements, the standard deviation of the difference is 1.0 m, and the standard deviation of the difference is 0.46 m after the carrier phase to smooth the pseudo-range observation value, and the result comparison is improved obviously. Finally, in the experiment of short baseline, using original pseudorange the standard deviation of the common-view comparison is 1.90 ns and using the carrier phase smoothing pseudorange is 1.18 ns, It is show that the uncertainty of carrier phase smoothing pseudorange measurement is better than that of pseudorange method.
{"title":"Satellite common-view comparison of two types of unequal precision data","authors":"Chen Ruiqiong, Yang Ying, L. Ya, L. Xiaohui, Xue Yanrong","doi":"10.1109/ICEMI.2017.8265814","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265814","url":null,"abstract":"The pseudorange and carrier phase are two basic measurements of the GNSS receiver, both of them are different and complementary, The accuracy of pseudorange from a few meters to a few decimeters, which are frequently used in the low precision of the common-view comparison, it has the advantages of high speed and simple data processing. The carrier phase observation value actually represents the phase difference between the reference signals generated by the receiver. It is a carrier signal with Doppler shift and its accuracy is up to millimeter, It is often used in the high-accuracy of common-view comparison. But it exists the ambiguity uncertain problem, greatly increasing the difficulty of data processing. In this paper, two kinds of precision measurement methods are presented. one is direct using pseudorange observation value to common-view comparison, and the other is using the carrier phase value to smooth the pseudo-range observation value. After relevant experiments analysis, using the original pseudorange measurements, the standard deviation of the difference is 1.0 m, and the standard deviation of the difference is 0.46 m after the carrier phase to smooth the pseudo-range observation value, and the result comparison is improved obviously. Finally, in the experiment of short baseline, using original pseudorange the standard deviation of the common-view comparison is 1.90 ns and using the carrier phase smoothing pseudorange is 1.18 ns, It is show that the uncertainty of carrier phase smoothing pseudorange measurement is better than that of pseudorange method.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127856409","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 : 2017-10-01DOI: 10.1109/ICEMI.2017.8265851
Zhang Defu, Liang Xianling, Ni Mingyang, Lin Pengzhi, Dong Lijian, Rui Dawei, Z. Jianguo
For requirements of high-precision displacement compensation of components in optical system, a 6 degree-of-freedom (6-DOF) displacement adjustment mechanism is presented in this paper. The composition and working principle of the mechanism are expatiated. The output compliance and the input stiffness model of the mechanism are established. The results obtained by the finite element analysis (FEA) are compared with that got by the compliance matrix method (CMM). The displacement Jacobian matrix of the mechanism is established according to the FEA results. The output compliance obtained by the FEA and the CMM are 16.081um/N and 14.138 um/N, respectively, and the deviation is 12.083%. The input stiffness got by the FEA and the CMM are 22.483 N/um and 22.127 N/um respectively, and the deviation is 1.605%. The FEA results show that the translation and rotation stroke of the mechanism are larger than 50 um and 200 urad, respectively. The maximum stress on the mechanism is less than 50 MPa when the full stroke is reached. The surface figure introduced by adjusting the lens element is less than 1nm. The results show that the method is feasible and provides the design basis for 6-DOF optical elements.
{"title":"Design of 6 degree-of-freedom micro-positioning mechanism for optical elements","authors":"Zhang Defu, Liang Xianling, Ni Mingyang, Lin Pengzhi, Dong Lijian, Rui Dawei, Z. Jianguo","doi":"10.1109/ICEMI.2017.8265851","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265851","url":null,"abstract":"For requirements of high-precision displacement compensation of components in optical system, a 6 degree-of-freedom (6-DOF) displacement adjustment mechanism is presented in this paper. The composition and working principle of the mechanism are expatiated. The output compliance and the input stiffness model of the mechanism are established. The results obtained by the finite element analysis (FEA) are compared with that got by the compliance matrix method (CMM). The displacement Jacobian matrix of the mechanism is established according to the FEA results. The output compliance obtained by the FEA and the CMM are 16.081um/N and 14.138 um/N, respectively, and the deviation is 12.083%. The input stiffness got by the FEA and the CMM are 22.483 N/um and 22.127 N/um respectively, and the deviation is 1.605%. The FEA results show that the translation and rotation stroke of the mechanism are larger than 50 um and 200 urad, respectively. The maximum stress on the mechanism is less than 50 MPa when the full stroke is reached. The surface figure introduced by adjusting the lens element is less than 1nm. The results show that the method is feasible and provides the design basis for 6-DOF optical elements.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131300945","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 : 2017-10-01DOI: 10.1109/ICEMI.2017.8265897
Liu Shuo, Zhao Jin, Xu Ben, Z. Guangquan, Wang Shaojun
With the performance improvement of satellite payload, satellite payload data simulators with high-speed and large-capacity are eagerly demanded by ground automatic test system for the testing of satellite data transmission system. Based on the analysis of traditional simulators, a new design with FlexRIO is introduced in this paper. Based on the PXIe architecture, the simulator mainly consists of data source module and data loading module. In-chassis high-speed data storage board is used as the data source module, which achieves a storage capacity of 2.9TB and is easy to extend. The data loading module is composed of FlexRIO and its adapter, of which the single-channel serial transmission rate is up to 1.2Gbps with TLK2711A as the transmission interface chip. And six channels are supported to work at the same time. Test results show that with high reliability and strong versatility, the simulator has no bit-error in laboratory. Hence, the payload data simulator can be used for satellite test directly, and can provide reference for the design of other high-speed data loaders.
{"title":"Design of high-speed satellite payload data simulator based on FlexRIO","authors":"Liu Shuo, Zhao Jin, Xu Ben, Z. Guangquan, Wang Shaojun","doi":"10.1109/ICEMI.2017.8265897","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265897","url":null,"abstract":"With the performance improvement of satellite payload, satellite payload data simulators with high-speed and large-capacity are eagerly demanded by ground automatic test system for the testing of satellite data transmission system. Based on the analysis of traditional simulators, a new design with FlexRIO is introduced in this paper. Based on the PXIe architecture, the simulator mainly consists of data source module and data loading module. In-chassis high-speed data storage board is used as the data source module, which achieves a storage capacity of 2.9TB and is easy to extend. The data loading module is composed of FlexRIO and its adapter, of which the single-channel serial transmission rate is up to 1.2Gbps with TLK2711A as the transmission interface chip. And six channels are supported to work at the same time. Test results show that with high reliability and strong versatility, the simulator has no bit-error in laboratory. Hence, the payload data simulator can be used for satellite test directly, and can provide reference for the design of other high-speed data loaders.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125387497","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 : 2017-10-01DOI: 10.1109/ICEMI.2017.8265796
C. Ke, Chen Bingyan, L. Changyu, Fang Peisen, Gan Yulin, Zhou Yan
Ultrasonic detection technology has many advantages with fast, non-contact, non-destruction, and so on. Especially, it has been widely used in the field of non-destructive detection. In this paper, a circuit system for single ultrasonic detection sensor was proposed, which can be used to measure the distance with non-contact. The circuit system included the input and output unit, signal generation and echo acquisition unit, echo amplification unit, and time-out reset and the self-locking unit. With the frequency as 170.0 kHz of the ultrasonic sensor, the detection system can accurately measure the distance in air with the error rate less than 4.60 %% in the range of2000.00 mm, and the uncertainty less than ±1.71mm in the range of 1000.00 mm. The ultrasonic detection system can accurately measure the distance with non-destructive and non-contact, and it can provide the references for other applications of ultrasonic sensor.
{"title":"Circuit system design and test for single ultrasonic detection sensor","authors":"C. Ke, Chen Bingyan, L. Changyu, Fang Peisen, Gan Yulin, Zhou Yan","doi":"10.1109/ICEMI.2017.8265796","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265796","url":null,"abstract":"Ultrasonic detection technology has many advantages with fast, non-contact, non-destruction, and so on. Especially, it has been widely used in the field of non-destructive detection. In this paper, a circuit system for single ultrasonic detection sensor was proposed, which can be used to measure the distance with non-contact. The circuit system included the input and output unit, signal generation and echo acquisition unit, echo amplification unit, and time-out reset and the self-locking unit. With the frequency as 170.0 kHz of the ultrasonic sensor, the detection system can accurately measure the distance in air with the error rate less than 4.60 %% in the range of2000.00 mm, and the uncertainty less than ±1.71mm in the range of 1000.00 mm. The ultrasonic detection system can accurately measure the distance with non-destructive and non-contact, and it can provide the references for other applications of ultrasonic sensor.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125494698","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 : 2017-10-01DOI: 10.1109/ICEMI.2017.8265734
G. Yuhai, Linfeng He, Wenxiu Lv, Yu Mei
Because the gear boxes of large wind turbine unit operate under complicated working conditions in a long-term, the vibration signals collected from the gearbox are subjected to a large amount of background noise. In order to effectively extract fault features from vibration signals, the heuristic soft threshold and dual tree complex wavelet transform were adopted to denoise the collected signals. Then, according to the speed pulse signal collected synchronously, the rotating shaft frequency and the gear fitting frequency were calculated by time measuring method, and the same frequency sine data was generated, and then the correlation between the sine data and the vibration data was calculated to judge the fault location preliminarily. Lastly, the three order equation fitting method was used to carry out order resampling, and the power spectrum of the order data was calculated to obtain the gear fault feature. The simulation of Matlab and experiment results show that this method is effective in fault diagnosis feature extraction for wind turbine gearbox.
{"title":"Research on gearbox fault diagnosis method based on DTCWT and order spectrum","authors":"G. Yuhai, Linfeng He, Wenxiu Lv, Yu Mei","doi":"10.1109/ICEMI.2017.8265734","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265734","url":null,"abstract":"Because the gear boxes of large wind turbine unit operate under complicated working conditions in a long-term, the vibration signals collected from the gearbox are subjected to a large amount of background noise. In order to effectively extract fault features from vibration signals, the heuristic soft threshold and dual tree complex wavelet transform were adopted to denoise the collected signals. Then, according to the speed pulse signal collected synchronously, the rotating shaft frequency and the gear fitting frequency were calculated by time measuring method, and the same frequency sine data was generated, and then the correlation between the sine data and the vibration data was calculated to judge the fault location preliminarily. Lastly, the three order equation fitting method was used to carry out order resampling, and the power spectrum of the order data was calculated to obtain the gear fault feature. The simulation of Matlab and experiment results show that this method is effective in fault diagnosis feature extraction for wind turbine gearbox.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122977396","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 : 2017-10-01DOI: 10.1109/ICEMI.2017.8265768
Hao Huadong, Chen Xianlei, Shi Haolei, Li Xuemin, YI Peng-ju
According to the traditional geometric methods have some shortcomings, such as low accuracy, low work efficiency and high risk factor in the capacity measurement, it is presented an automatic measurement system and method of large vertical storage tank volume based on three-dimensional (3D) Laser Scanning Principle in the paper. The calculation model of vertical tank volume is established and the key algorithms are researched for the point cloud data analysis. By calculating the cross-sectional area along the horizontal direction and integrating from vertical direction, the volume value is automatic calculated in the different liquids. Selected a vertical tank as the test object, which the nominal capacity is 1000m3, it is shown the good repeatability and reappearance of the system proposed in the paper. The experimental comparison system is designed, and the measurement experiment is carried out in three different vertical tanks which the nominal capacity is 1000 m3, 2500 m3 and 5000 m3, respectively. The validity of the proposed method is verified by using the traditional capacity measurement method as reference.
{"title":"The automatic measurement system of large vertical storage tank volume based on 3D laser scanning principle","authors":"Hao Huadong, Chen Xianlei, Shi Haolei, Li Xuemin, YI Peng-ju","doi":"10.1109/ICEMI.2017.8265768","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265768","url":null,"abstract":"According to the traditional geometric methods have some shortcomings, such as low accuracy, low work efficiency and high risk factor in the capacity measurement, it is presented an automatic measurement system and method of large vertical storage tank volume based on three-dimensional (3D) Laser Scanning Principle in the paper. The calculation model of vertical tank volume is established and the key algorithms are researched for the point cloud data analysis. By calculating the cross-sectional area along the horizontal direction and integrating from vertical direction, the volume value is automatic calculated in the different liquids. Selected a vertical tank as the test object, which the nominal capacity is 1000m3, it is shown the good repeatability and reappearance of the system proposed in the paper. The experimental comparison system is designed, and the measurement experiment is carried out in three different vertical tanks which the nominal capacity is 1000 m3, 2500 m3 and 5000 m3, respectively. The validity of the proposed method is verified by using the traditional capacity measurement method as reference.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126326363","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 : 2017-10-01DOI: 10.1109/ICEMI.2017.8265896
Z. Jiangmiao, Yan Di, Qin Yuhui, Chen Ye, Wu Wenjuan
The selection of timescale algorithm will have a great influence on the accuracy and stability of timescale. To improve the accuracy and stability of timescale, this paper studied the stochastic model of the hydrogen clock and Hadamard deviation for researching the Kalman timescale algorithm based on the hydrogen clock ensemble, which is quite different from the traditional Kalman timescale algorithm based on the model of cesium-beam clock ensemble, mixed ensemble and Allen deviation. The Hadamard variance is used to describe the stability of clock frequency in this paper; it will improve the precision of the Hydrogen Clock Ensemble. By using Hadamard variance instead of Allen avariance, it can overcome the influence of frequency drift. In this paper, the clock whose stability is best is chosen as the reference clock so that the accuracy and stability of the hydrogen clock ensemble will be improved. The experiment data of the hydrogen clock ensemble in the timekeeping laboratory of National Institute of Metrology (NIM) in China were processed; the frequency stability can be improved to 10'15. The results verified that the Kalman timescale algorithm based on the hydrogen clock ensemble is effective.
{"title":"Kalman timescale algorithm based on hydrogen clock ensemble","authors":"Z. Jiangmiao, Yan Di, Qin Yuhui, Chen Ye, Wu Wenjuan","doi":"10.1109/ICEMI.2017.8265896","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265896","url":null,"abstract":"The selection of timescale algorithm will have a great influence on the accuracy and stability of timescale. To improve the accuracy and stability of timescale, this paper studied the stochastic model of the hydrogen clock and Hadamard deviation for researching the Kalman timescale algorithm based on the hydrogen clock ensemble, which is quite different from the traditional Kalman timescale algorithm based on the model of cesium-beam clock ensemble, mixed ensemble and Allen deviation. The Hadamard variance is used to describe the stability of clock frequency in this paper; it will improve the precision of the Hydrogen Clock Ensemble. By using Hadamard variance instead of Allen avariance, it can overcome the influence of frequency drift. In this paper, the clock whose stability is best is chosen as the reference clock so that the accuracy and stability of the hydrogen clock ensemble will be improved. The experiment data of the hydrogen clock ensemble in the timekeeping laboratory of National Institute of Metrology (NIM) in China were processed; the frequency stability can be improved to 10'15. The results verified that the Kalman timescale algorithm based on the hydrogen clock ensemble is effective.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126920011","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 : 2017-10-01DOI: 10.1109/ICEMI.2017.8265933
Zhang Long, Wu Guoxin, Di Chunyan, Lu Jiwei
Due to the influence of various factors, such as the test environment, the instrument itself and the target's spectrum characteristics, the measured linear CCD spectrum data contains noise. If the noise can not be removed effectively, the results of spectrum detection will be affected. Since the noise contained in the linear CCD spectrum data is mainly Gauss white noise and impulsive noise, a combined filter method based on wavelet threshold and median filter is proposed to denoise the linear CCD spectrum data in this paper. The simulation spectrum data and the measured spectrum data captured by spectrum instrument are used to check the validity of this method. The simulation results show that using the combined filter method, the noise of the spectrum data can be effectively reduced, and the signal-to-noise ratio of the spectrum signal is improved.
{"title":"Research on denoising methods of linear CCD spectrum data using combined filter based on wavelet threshold","authors":"Zhang Long, Wu Guoxin, Di Chunyan, Lu Jiwei","doi":"10.1109/ICEMI.2017.8265933","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265933","url":null,"abstract":"Due to the influence of various factors, such as the test environment, the instrument itself and the target's spectrum characteristics, the measured linear CCD spectrum data contains noise. If the noise can not be removed effectively, the results of spectrum detection will be affected. Since the noise contained in the linear CCD spectrum data is mainly Gauss white noise and impulsive noise, a combined filter method based on wavelet threshold and median filter is proposed to denoise the linear CCD spectrum data in this paper. The simulation spectrum data and the measured spectrum data captured by spectrum instrument are used to check the validity of this method. The simulation results show that using the combined filter method, the noise of the spectrum data can be effectively reduced, and the signal-to-noise ratio of the spectrum signal is improved.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121261412","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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