Pub Date : 2017-10-01DOI: 10.1109/ICEMI.2017.8265853
Yu Yang, S. Mohan, Mao Jialiang, Yang Ping
The classification performance of the relevance vector machine (RVM) model is closely related to its associated kernel function parameter. The artificial bee colony algorithm (ABC), particle swarm optimization (PSO) and genetic algorithm (GA) are proposed to find the optimal parameter of the RVM model, and the performance of these methods had been compared. Based on the binary tree structure and one-against all method, the binary-classification RVM model is extended to establish a four-classification model. The tank bottom corrosion acoustic emission signals were recognized with the established model. The characteristics parameters of the acoustic emission signal and the frequency-domain parameters were selected as the input parameters of the model, and a good recognition was obtained.
{"title":"Corrosion acoustic emission signal recognition based on relevance vector machine","authors":"Yu Yang, S. Mohan, Mao Jialiang, Yang Ping","doi":"10.1109/ICEMI.2017.8265853","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265853","url":null,"abstract":"The classification performance of the relevance vector machine (RVM) model is closely related to its associated kernel function parameter. The artificial bee colony algorithm (ABC), particle swarm optimization (PSO) and genetic algorithm (GA) are proposed to find the optimal parameter of the RVM model, and the performance of these methods had been compared. Based on the binary tree structure and one-against all method, the binary-classification RVM model is extended to establish a four-classification model. The tank bottom corrosion acoustic emission signals were recognized with the established model. The characteristics parameters of the acoustic emission signal and the frequency-domain parameters were selected as the input parameters of the model, and a good recognition was obtained.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"1 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":"130049040","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.2017.8265861
Yanhua Hu, Tangle Peng, Weidong Jin, L. Wei
In view of the complexity of existing image enhancement methods, which can not highlight the detection target, this paper proposes a forward vehicle image enhancement method based on the semantics. This method includes two parts: semantic-based catenary contour extraction and visual enhancement. To extract the catenary semantics contour, the classification model of the catenary and the background patches is trained by the catenary edge detection network. The classification model of the railway image is extracted and classified by the trained classification model, and the confidence level graph of the catenary is obtained by template matching. To achieve visual enhancement of catenary semantics, according to the AlphaBend hybrid method, the catenary confidence level graph is merged with the original image to realize the visual enhancement of the catenary semantics. In this paper, the contour extraction and visual enhancement of the catenary in the railway image are realized, and the gray histogram distribution is more evenly distributed. The number of pixels in each gray level is more average. The average difference and the standard deviation difference between the enhanced catenary area and the background area is greater, and the peak noise ratio and the structural similarity are improved. Comparing with other methods shows that the method in this paper is effective. What's more, it can be more intuitive for the railway staff to show the abnormal situation of the catenary and has very strong practical significance.
{"title":"The image enhancement of forward vehicle video based on catenary semantics","authors":"Yanhua Hu, Tangle Peng, Weidong Jin, L. Wei","doi":"10.1109/ICEMI.2017.8265861","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265861","url":null,"abstract":"In view of the complexity of existing image enhancement methods, which can not highlight the detection target, this paper proposes a forward vehicle image enhancement method based on the semantics. This method includes two parts: semantic-based catenary contour extraction and visual enhancement. To extract the catenary semantics contour, the classification model of the catenary and the background patches is trained by the catenary edge detection network. The classification model of the railway image is extracted and classified by the trained classification model, and the confidence level graph of the catenary is obtained by template matching. To achieve visual enhancement of catenary semantics, according to the AlphaBend hybrid method, the catenary confidence level graph is merged with the original image to realize the visual enhancement of the catenary semantics. In this paper, the contour extraction and visual enhancement of the catenary in the railway image are realized, and the gray histogram distribution is more evenly distributed. The number of pixels in each gray level is more average. The average difference and the standard deviation difference between the enhanced catenary area and the background area is greater, and the peak noise ratio and the structural similarity are improved. Comparing with other methods shows that the method in this paper is effective. What's more, it can be more intuitive for the railway staff to show the abnormal situation of the catenary and has very strong practical significance.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"7 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":"131567215","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.2017.8265943
Liu Ke, Ma Qiang, Z. Xingpeng, Guo Guangkun, Yang Xing, Huang Lei
Baseband signal generator (BSG) is widely used in many applications. This paper analyzes the features of baseband signal. The baseband signal can be divided into two categories. A structure is proposed to generate these two types of baseband signals. The key problems such as symbol mapping, shaping filtering, data interpolation are discussed in detail. A baseband signal generator with 80MHz bandwidth and 1ksym/s–80Msym/s symbol rate is designed based on the structure proposed, which can provide many baseband signals, such as ASK, PSK, DPSK, FSK, MSK, QAM, etc. At last, the performance of baseband signal generator is given to show the effectiveness of the design.
{"title":"The design of baseband signal generator","authors":"Liu Ke, Ma Qiang, Z. Xingpeng, Guo Guangkun, Yang Xing, Huang Lei","doi":"10.1109/ICEMI.2017.8265943","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265943","url":null,"abstract":"Baseband signal generator (BSG) is widely used in many applications. This paper analyzes the features of baseband signal. The baseband signal can be divided into two categories. A structure is proposed to generate these two types of baseband signals. The key problems such as symbol mapping, shaping filtering, data interpolation are discussed in detail. A baseband signal generator with 80MHz bandwidth and 1ksym/s–80Msym/s symbol rate is designed based on the structure proposed, which can provide many baseband signals, such as ASK, PSK, DPSK, FSK, MSK, QAM, etc. At last, the performance of baseband signal generator is given to show the effectiveness of the design.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"87 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":"131590076","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.2017.8265727
L. Bian, Chen Yongqi, Qu Lili
The motive time-frequency system is necessary backup and supplement of the fixed ground time-frequency system. It takes on main tasks of providing high precision time and frequency signals replacing the fixed ground time and frequency system in wartime or under special cases so as to meet all kinds of users' demands. However, compared with the fixed ground time-frequency system, the work environment is adverse, and the number of atomic clock is very small on motive conditions. So it is the existing time keeping method that is not fully applicable to monitor and steer the motive time-frequency system time. In this paper, the time keeping modes of the motive time-frequency system are studied firstly. The empirical mode decomposition method is used to detect singularities of atomic clock signal, and forecast the main clock frequency secondly. In addition, the methods which monitor and steer the system time for different working modes on the motive conditions are put forward by studying the steering strategies of the main clock.
{"title":"Application of EMD in motive time-frequency system","authors":"L. Bian, Chen Yongqi, Qu Lili","doi":"10.1109/ICEMI.2017.8265727","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265727","url":null,"abstract":"The motive time-frequency system is necessary backup and supplement of the fixed ground time-frequency system. It takes on main tasks of providing high precision time and frequency signals replacing the fixed ground time and frequency system in wartime or under special cases so as to meet all kinds of users' demands. However, compared with the fixed ground time-frequency system, the work environment is adverse, and the number of atomic clock is very small on motive conditions. So it is the existing time keeping method that is not fully applicable to monitor and steer the motive time-frequency system time. In this paper, the time keeping modes of the motive time-frequency system are studied firstly. The empirical mode decomposition method is used to detect singularities of atomic clock signal, and forecast the main clock frequency secondly. In addition, the methods which monitor and steer the system time for different working modes on the motive conditions are put forward by studying the steering strategies of the main clock.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"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":"131170277","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.2017.8265919
Wang Haiqiang, Hou Ligang, Ye Tongyang, Wang Jinhui, Geng Shuqin
This paper aims to design a high precision, low drift analog integrator, The method used is to use integral resistance to control the drift generated by the integrator. The main idea is to use the best circuit structure to minimize the zero drift and non-linear error, and select the high-precision components, As far as possible to use a large integral resistance, The op amp has a large open-loop gain and high input impedance and good high frequency characteristics as much as possible, high input impedance frequency integrated circuit, the integral circuit in the non-inverting input access adjustable balance resistor, and the use of two integrators for the poor structure. Finally, the results was summarized and the Cadence simulation is carried out.
{"title":"Integrator structure for reducing drift voltage influence","authors":"Wang Haiqiang, Hou Ligang, Ye Tongyang, Wang Jinhui, Geng Shuqin","doi":"10.1109/ICEMI.2017.8265919","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265919","url":null,"abstract":"This paper aims to design a high precision, low drift analog integrator, The method used is to use integral resistance to control the drift generated by the integrator. The main idea is to use the best circuit structure to minimize the zero drift and non-linear error, and select the high-precision components, As far as possible to use a large integral resistance, The op amp has a large open-loop gain and high input impedance and good high frequency characteristics as much as possible, high input impedance frequency integrated circuit, the integral circuit in the non-inverting input access adjustable balance resistor, and the use of two integrators for the poor structure. Finally, the results was summarized and the Cadence simulation is carried out.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"154 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":"133356423","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.2017.8265745
Luo Qinghua, Yan Xiaozhen, Gan Xingli, Zhou Pengtai, Li Ping, Song Jia, Wang Chenxu
RSSI-based distance estimation method is widely used in wireless sensor network localization techniques, owing to its advantages including availability, low cost, flexibility and so on. However, RSSI measurement is easily affected by the adverse factors from the environment, which results in the localization result to be unhealthy. For the purpose of investigating the unhealthy degree of the localization result, we propose a new uncertainty analysis method for localization based on Received Signal Strength Indicator (RSSI) in three-dimensional (3-D) Wireless Sensor Network (WSN). Firstly, uncertain factors are obtained by analyzing the localization process; Secondly, sensitivities of different factors are gained by making use of the partial differential method; Finally, the uncertainty of localization result is expressed by the products of uncertainties and sensitivities of all factors, with the form of 2-norm. Experimental results in three different environments indicate that the proposed uncertainty analysis method has excellent performance on prediction of uncertainty in the localization result.
{"title":"Uncertainty analysis method for RSSI-based localization in three-dimensional wireless sensor network","authors":"Luo Qinghua, Yan Xiaozhen, Gan Xingli, Zhou Pengtai, Li Ping, Song Jia, Wang Chenxu","doi":"10.1109/ICEMI.2017.8265745","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265745","url":null,"abstract":"RSSI-based distance estimation method is widely used in wireless sensor network localization techniques, owing to its advantages including availability, low cost, flexibility and so on. However, RSSI measurement is easily affected by the adverse factors from the environment, which results in the localization result to be unhealthy. For the purpose of investigating the unhealthy degree of the localization result, we propose a new uncertainty analysis method for localization based on Received Signal Strength Indicator (RSSI) in three-dimensional (3-D) Wireless Sensor Network (WSN). Firstly, uncertain factors are obtained by analyzing the localization process; Secondly, sensitivities of different factors are gained by making use of the partial differential method; Finally, the uncertainty of localization result is expressed by the products of uncertainties and sensitivities of all factors, with the form of 2-norm. Experimental results in three different environments indicate that the proposed uncertainty analysis method has excellent performance on prediction of uncertainty in the localization result.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"125 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":"114738372","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.2017.8265958
Z. Jiangmiao, Zhao Linxiao, Gao Jian, Miao Jingyuan, Zhang Yueqian
The optical pulse standard method is based on the traditional pulse standard method. This method is that converting the optical pulse into electrical pulse through the detector and then calibrating the broadband sampling oscilloscope. In the paper, according to the optical pulse standard method, a method of evaluating the uncertainty of calibrated bandwidth of oscilloscope is proposed. Firstly, the influencing factors of measurement uncertainty are analyzed and the calculation formula of standard uncertainty is derivated; Then the transfer algorithm of uncertainty is studied; Finally, the composite uncertainty of calibrated bandwidth is evaluated. The results show that the method is scientific and reasonable.
{"title":"Research on the uncertainty of calibrated bandwidth of broadband sampling oscilloscope","authors":"Z. Jiangmiao, Zhao Linxiao, Gao Jian, Miao Jingyuan, Zhang Yueqian","doi":"10.1109/ICEMI.2017.8265958","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265958","url":null,"abstract":"The optical pulse standard method is based on the traditional pulse standard method. This method is that converting the optical pulse into electrical pulse through the detector and then calibrating the broadband sampling oscilloscope. In the paper, according to the optical pulse standard method, a method of evaluating the uncertainty of calibrated bandwidth of oscilloscope is proposed. Firstly, the influencing factors of measurement uncertainty are analyzed and the calculation formula of standard uncertainty is derivated; Then the transfer algorithm of uncertainty is studied; Finally, the composite uncertainty of calibrated bandwidth is evaluated. The results show that the method is scientific and reasonable.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"62 11 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":"128455035","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.2017.8265821
M. Dong, Shi Yibing, Zhang Wei, Liu Guozhen
With the high development of real-time transmission schemes for logging while drilling (LWD) system, acoustic wave transmission on drill strings has obtained increasing attention. Considering the comb-type spectral characteristics, Non-contiguous orthogonal frequency division multiplexing (NC-OFDM) is adopted to achieve acoustic wave transmission. This paper proposed an adaptive time synchronization scheme for NC-OFDM-based acoustic system. Firstly, the drill strings channel characteristic is analyzed, and the NC-OFDM transmission model is presented. Then, an adaptive timing synchronization scheme is introduced to achieve timing synchronization. Finally, simulation results confirm the out performance.
{"title":"An adaptive timing synchronization for NC-OFDM-based acoustic communication on drill strings","authors":"M. Dong, Shi Yibing, Zhang Wei, Liu Guozhen","doi":"10.1109/ICEMI.2017.8265821","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265821","url":null,"abstract":"With the high development of real-time transmission schemes for logging while drilling (LWD) system, acoustic wave transmission on drill strings has obtained increasing attention. Considering the comb-type spectral characteristics, Non-contiguous orthogonal frequency division multiplexing (NC-OFDM) is adopted to achieve acoustic wave transmission. This paper proposed an adaptive time synchronization scheme for NC-OFDM-based acoustic system. Firstly, the drill strings channel characteristic is analyzed, and the NC-OFDM transmission model is presented. Then, an adaptive timing synchronization scheme is introduced to achieve timing synchronization. Finally, simulation results confirm the out performance.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"59 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":"127211319","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.2017.8265789
Chen Sen, Li Qing, Shenqi Ying, Liu Zhangjie
Soil shear strength is an important indicator of the mechanical properties of soil, which directly reflects the difficulty of shear deformation of soil under external force. At present, the detection of soil shear strength is mainly based on artificial field sampling and laboratory instrument analysis. However, these methods can not achieve long-term monitoring of the field. Therefore, there are some shortcomings such as complicated operation and large sampling error, which can not reflect the change of soil shear strength. In this paper, a shear strength measurement device based on shear wave velocity is proposed. If the shear wave velocity of soil can be measured in real time, the corresponding shear strength can be obtained and the on-site long-term monitoring can be achieved.
{"title":"Development of device for measuring shear strength of soil wave based on piezoelectric effect","authors":"Chen Sen, Li Qing, Shenqi Ying, Liu Zhangjie","doi":"10.1109/ICEMI.2017.8265789","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265789","url":null,"abstract":"Soil shear strength is an important indicator of the mechanical properties of soil, which directly reflects the difficulty of shear deformation of soil under external force. At present, the detection of soil shear strength is mainly based on artificial field sampling and laboratory instrument analysis. However, these methods can not achieve long-term monitoring of the field. Therefore, there are some shortcomings such as complicated operation and large sampling error, which can not reflect the change of soil shear strength. In this paper, a shear strength measurement device based on shear wave velocity is proposed. If the shear wave velocity of soil can be measured in real time, the corresponding shear strength can be obtained and the on-site long-term monitoring can be achieved.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"146 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":"127253243","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.2017.8265701
J. Zhanglei, Wu Yapeng, Xu Xiaoli, Zuo Yunbo
Operation of the wind turbine is influenced by ever-changing wind speed and wind direction, and its transmission system running in a state of nonlinear and non-stationary operation. It is difficult and inaccurate to predict the amplitude of the vibration of the transmission system in real time. So the method, the trend prediction method of deterioration about equipment operation stability based on the degree of deterioration and quantification interval, is proposed in this paper. The vibration signal of the running state would be collected about the transmission system of the wind turbine; the concept, “the mean value of 1.5 dimensional spectral band energy”, is proposed. According to the concept of “the mean value of 1.5 dimension spectrum frequency band energy”, corresponding classification standard of vibration signal is established, and the degradation degree of running stability is quantified to obtain the quantification interval about the degree of deterioration. Then the state sequence of deterioration of the operation stability is established. The known observation sequence is predicted about tendency by using the improved superimposed Markov chain prediction method. In order to verify the effectiveness of the proposed method, measured vibration data experiment would be used to do verification test about the windfield wind turbine generator in working condition. The experimental results show that the development trend of the deterioration state could be got though the running stability deterioration trend prediction, which is consistent with the actual running state.
{"title":"Research on the trend prediction method of equipment operation stability based on quantification interval of deterioration degree","authors":"J. Zhanglei, Wu Yapeng, Xu Xiaoli, Zuo Yunbo","doi":"10.1109/ICEMI.2017.8265701","DOIUrl":"https://doi.org/10.1109/ICEMI.2017.8265701","url":null,"abstract":"Operation of the wind turbine is influenced by ever-changing wind speed and wind direction, and its transmission system running in a state of nonlinear and non-stationary operation. It is difficult and inaccurate to predict the amplitude of the vibration of the transmission system in real time. So the method, the trend prediction method of deterioration about equipment operation stability based on the degree of deterioration and quantification interval, is proposed in this paper. The vibration signal of the running state would be collected about the transmission system of the wind turbine; the concept, “the mean value of 1.5 dimensional spectral band energy”, is proposed. According to the concept of “the mean value of 1.5 dimension spectrum frequency band energy”, corresponding classification standard of vibration signal is established, and the degradation degree of running stability is quantified to obtain the quantification interval about the degree of deterioration. Then the state sequence of deterioration of the operation stability is established. The known observation sequence is predicted about tendency by using the improved superimposed Markov chain prediction method. In order to verify the effectiveness of the proposed method, measured vibration data experiment would be used to do verification test about the windfield wind turbine generator in working condition. The experimental results show that the development trend of the deterioration state could be got though the running stability deterioration trend prediction, which is consistent with the actual running state.","PeriodicalId":275568,"journal":{"name":"2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)","volume":"7 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":"127545698","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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