Pub Date : 2015-08-01DOI: 10.1109/ICPACE.2015.7274972
G. Lakshmi, P. V. Kumar, P. Sudeepika
This paper presents a Field Oriented Control of Interior Permanent Magnet Synchronous Motor (IPMSM) using three-level and five-level diode-clamped inverter. Field Oriented Control is a basic method in which real-time control of torque variations, rotor mechanical speed and phase currents can be possible. It controls the direct and quadrature axis currents to achieve required torque. The inverter switching pulses are generated using effective space vector pulse width modulation technique known as Centre Spaced Space Vector Pulse Width Modulation (CSSVPWM). This modulation technique is a simple and easy method to generate pulses similar to Space Vector Pulse Width Modulation (SVPWM) using the concept of effective time which reduces the complexity involved in calculation of angle and sector. The inverter output voltage can be directly synthesized by the effective times and the voltage modulation task can be greatly simplified. Three-level and Five-level diode-clamped inverter fed IPMSM analysis is done in MATLAB/SIMULINK.
{"title":"Field Oriented Control of IPMSM using diode-clamped multilevel inverter","authors":"G. Lakshmi, P. V. Kumar, P. Sudeepika","doi":"10.1109/ICPACE.2015.7274972","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274972","url":null,"abstract":"This paper presents a Field Oriented Control of Interior Permanent Magnet Synchronous Motor (IPMSM) using three-level and five-level diode-clamped inverter. Field Oriented Control is a basic method in which real-time control of torque variations, rotor mechanical speed and phase currents can be possible. It controls the direct and quadrature axis currents to achieve required torque. The inverter switching pulses are generated using effective space vector pulse width modulation technique known as Centre Spaced Space Vector Pulse Width Modulation (CSSVPWM). This modulation technique is a simple and easy method to generate pulses similar to Space Vector Pulse Width Modulation (SVPWM) using the concept of effective time which reduces the complexity involved in calculation of angle and sector. The inverter output voltage can be directly synthesized by the effective times and the voltage modulation task can be greatly simplified. Three-level and Five-level diode-clamped inverter fed IPMSM analysis is done in MATLAB/SIMULINK.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"21 1","pages":"355-360"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83969798","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 : 2015-08-01DOI: 10.1109/ICPACE.2015.7274964
Pothireddy Adarsh Reddy, A. Sao, B. Rajpurohit
Transformers range in size from a few kVA to several hundred MVA are one of the most critical components of power system with with replacement costs around millions of dollars for power transformers. A sudden in-service failure of a transformer not only results in substantial economic losses but also can result in death of utility personnel apart from the environmental damages caused and grid instability induced. The condition assessment and life estimation of a transformer is an important part of reliable power system operation. The equivalent parameters of a transformer are not affected by external faults and change only in the presence of internal abberations making them suitable for internal condition assessment of transformers. Presently, there is no accurate measurement method for the transformer winding parameters and generally require the transformer to be disconnected from the power system. A new simple algorithm for extracting transformer winding parameters which can be implemented online is presented in this paper. This method doesn't require the transformer to be disconnected from the power grid. The primary and secondary currents and voltages are taken as inputs and winding parameters are obtained by solving the equivalent circuit equations in real time continuously which allows for interpretation and detection of faults in real-time. The proposed method has been tested and validated by simulations. Different cases of parameter variations and their possible interpretations are discussed in order to detect any incipient faults or anomalies in an in-service transformer which serve as advance alarms.
{"title":"Advanced monitoring and on-line health diagnosis of single-phase transformers","authors":"Pothireddy Adarsh Reddy, A. Sao, B. Rajpurohit","doi":"10.1109/ICPACE.2015.7274964","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274964","url":null,"abstract":"Transformers range in size from a few kVA to several hundred MVA are one of the most critical components of power system with with replacement costs around millions of dollars for power transformers. A sudden in-service failure of a transformer not only results in substantial economic losses but also can result in death of utility personnel apart from the environmental damages caused and grid instability induced. The condition assessment and life estimation of a transformer is an important part of reliable power system operation. The equivalent parameters of a transformer are not affected by external faults and change only in the presence of internal abberations making them suitable for internal condition assessment of transformers. Presently, there is no accurate measurement method for the transformer winding parameters and generally require the transformer to be disconnected from the power system. A new simple algorithm for extracting transformer winding parameters which can be implemented online is presented in this paper. This method doesn't require the transformer to be disconnected from the power grid. The primary and secondary currents and voltages are taken as inputs and winding parameters are obtained by solving the equivalent circuit equations in real time continuously which allows for interpretation and detection of faults in real-time. The proposed method has been tested and validated by simulations. Different cases of parameter variations and their possible interpretations are discussed in order to detect any incipient faults or anomalies in an in-service transformer which serve as advance alarms.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"41 5","pages":"308-314"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91401283","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 : 2015-08-01DOI: 10.1109/ICPACE.2015.7274951
Preethy V. Warrier, P. Preetha
Bridgeless topologies have been introduced to improve the input power factor and hence reduce THD and ripples in the input current. Bridgeless zeta converter has the advantages of reduced number of semiconductor switch, easy electrical isolation and reduced in-rush current during start-up. Conventional PWM technique is used for the control of switches. But it suffers from the problem of slow dynamic response. With One Cycle Control it is possible to eliminate input perturbations in one switching cycle. In this paper, a comparison has been made between the conventional PWM technique and modified One Cycle Control for bridgeless zeta converter. The model is developed using MATLAB/Simulink and the results have been analyzed.
{"title":"Comparison of PWM and modified One Cycle Control for bridgeless zeta AC-DC converter","authors":"Preethy V. Warrier, P. Preetha","doi":"10.1109/ICPACE.2015.7274951","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274951","url":null,"abstract":"Bridgeless topologies have been introduced to improve the input power factor and hence reduce THD and ripples in the input current. Bridgeless zeta converter has the advantages of reduced number of semiconductor switch, easy electrical isolation and reduced in-rush current during start-up. Conventional PWM technique is used for the control of switches. But it suffers from the problem of slow dynamic response. With One Cycle Control it is possible to eliminate input perturbations in one switching cycle. In this paper, a comparison has been made between the conventional PWM technique and modified One Cycle Control for bridgeless zeta converter. The model is developed using MATLAB/Simulink and the results have been analyzed.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"2 1","pages":"244-247"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74253612","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 : 2015-08-01DOI: 10.1109/ICPACE.2015.7274979
L. Kumar, B. Ramachandra, S. S. Kumar
Paper-oil insulation is widely used in transformers. The reactive sulphur forms copper sulfide and dispersing in oil causes the reduction in insulation of the transformer. It is reported that during life cycle of transformer, paper and pressboard insulation undergoes deterioration mainly because of increase in sulphur content in transformer oil. The Ø-t-N distribution is a popular choice for PD representation as the discharge magnitude is associated with the state of insulation. Representations based on the charge magnitude are susceptible to influence of the measuring system, discharge and equivalent characteristics. On the other hand, the Ø-t-N representation offers much flexibility.
{"title":"Performance of PCCC in presence of mercaptans in transformer oil using Ø-t-N technique","authors":"L. Kumar, B. Ramachandra, S. S. Kumar","doi":"10.1109/ICPACE.2015.7274979","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274979","url":null,"abstract":"Paper-oil insulation is widely used in transformers. The reactive sulphur forms copper sulfide and dispersing in oil causes the reduction in insulation of the transformer. It is reported that during life cycle of transformer, paper and pressboard insulation undergoes deterioration mainly because of increase in sulphur content in transformer oil. The Ø-t-N distribution is a popular choice for PD representation as the discharge magnitude is associated with the state of insulation. Representations based on the charge magnitude are susceptible to influence of the measuring system, discharge and equivalent characteristics. On the other hand, the Ø-t-N representation offers much flexibility.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"33 1","pages":"393-398"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82280338","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 : 2015-08-01DOI: 10.1109/ICPACE.2015.7274946
S. Mathew, P. B. Karandikar, Gaurav Shekhar, Dr. Prof. Datta S Chavan Ph.D.
The emergence of supercapacitors as an environment friendly energy storage device has generated a lot of interest in industry and academia. Carbon used in this device for making of electrodes can be derived from biomass. This study tries to use dried Neem leaves as a precursor to produce activated carbon. This carbon is then used to develop supercapacitors which are found to have high specific capacitance. The specific capacitance was then modelled using artificial neural network for various input parameters like temperature of activation and percentage of Neem based activated carbon.
{"title":"A novel Neem based supercapacitor and its modeling using artificial neural network","authors":"S. Mathew, P. B. Karandikar, Gaurav Shekhar, Dr. Prof. Datta S Chavan Ph.D.","doi":"10.1109/ICPACE.2015.7274946","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274946","url":null,"abstract":"The emergence of supercapacitors as an environment friendly energy storage device has generated a lot of interest in industry and academia. Carbon used in this device for making of electrodes can be derived from biomass. This study tries to use dried Neem leaves as a precursor to produce activated carbon. This carbon is then used to develop supercapacitors which are found to have high specific capacitance. The specific capacitance was then modelled using artificial neural network for various input parameters like temperature of activation and percentage of Neem based activated carbon.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"399 1","pages":"216-220"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84843183","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 : 2015-08-01DOI: 10.1109/ICPACE.2015.7274939
Pradeep Surwase, M. Nagendran, D. Patil, F. Joseph
Analysis of fault events is of prime importance in determining the adequacy of protection systems. During fault, measured signals contain harmonics, decaying dc and noise. Thus protective relays must filter their inputs to reject unwanted entities. A comparison of contemporary phasor estimation techniques is presented to identify one most suited to analyze fault phenomena. Fault occurrence in power system should be detected quickly. In conjunction with phasor estimation, fault detection techniques have been compared. Main dictum of this paper is to examine effect of phasor estimation techniques on fault detection. These algorithms are implemented and tested using Scilab. Several fault cases have been simulated in MiPower/ETA software. Performances of these implemented algorithms have been compared by using simulated cases and from field data.
{"title":"Comparative evaluation of phasor estimation and fault detection","authors":"Pradeep Surwase, M. Nagendran, D. Patil, F. Joseph","doi":"10.1109/ICPACE.2015.7274939","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274939","url":null,"abstract":"Analysis of fault events is of prime importance in determining the adequacy of protection systems. During fault, measured signals contain harmonics, decaying dc and noise. Thus protective relays must filter their inputs to reject unwanted entities. A comparison of contemporary phasor estimation techniques is presented to identify one most suited to analyze fault phenomena. Fault occurrence in power system should be detected quickly. In conjunction with phasor estimation, fault detection techniques have been compared. Main dictum of this paper is to examine effect of phasor estimation techniques on fault detection. These algorithms are implemented and tested using Scilab. Several fault cases have been simulated in MiPower/ETA software. Performances of these implemented algorithms have been compared by using simulated cases and from field data.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"1 1","pages":"178-184"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88483703","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 : 2015-08-01DOI: 10.1109/ICPACE.2015.7274935
P. Sebastian, Pramod Antony DSa
This paper presents a classification system based on Wavelet Transform for normal Power Quality disturbances. The parameter used for the classification algorithm was energy distribution of detailed coefficient of Wavelet Transform up to 10 leveles of decomposition. Wavelet Transform parameters are effective in classification of disturbance waveforms. Artificial Neural Network was used for the classification purpose which gave satisfactory results. And the algorithm developed in MATLAB was interfaced with Data Acquisition devices to check its accuracy for online classification purpose.
{"title":"Implementation of a Power Quality signal classification system using wavelet based energy distribution and neural network","authors":"P. Sebastian, Pramod Antony DSa","doi":"10.1109/ICPACE.2015.7274935","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274935","url":null,"abstract":"This paper presents a classification system based on Wavelet Transform for normal Power Quality disturbances. The parameter used for the classification algorithm was energy distribution of detailed coefficient of Wavelet Transform up to 10 leveles of decomposition. Wavelet Transform parameters are effective in classification of disturbance waveforms. Artificial Neural Network was used for the classification purpose which gave satisfactory results. And the algorithm developed in MATLAB was interfaced with Data Acquisition devices to check its accuracy for online classification purpose.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"47 1","pages":"157-161"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86612190","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 : 2015-08-01DOI: 10.1109/ICPACE.2015.7274981
M. Ansari, Javid Akhtar
The response of transformer windings due to the impact of high voltage surges has evoked the attention of insulation engineers for almost a century. The reason is simple: These fast rising voltages give rise to non-uniform voltage stress distribution along the coil sections and can endanger the insulation of high voltage power transformer windings. Hence an in depth knowledge of this is necessary for insulation engineers to design the winding insulation and also protective devices to be used to ensure that insulation failure does not take place when such fast rising voltages appear at the terminals of high voltage power transformers. In this paper, time domain analysis on model winding of a high voltage power transformer with 12-coil sections and 18-coil sections is being carried out to investigate its dynamic behaviour under a variety of fast rising impulse voltages. Simulation results of both the 12-coil sections and 18-coil sections of model winding impressed with full impulse, time-step and chopped impulse surge voltages with α=10 and 20 have been presented.
{"title":"Time domain analysis of a 12 coil section and 18 coil section transformer model winding subjected to a variety of surge voltages","authors":"M. Ansari, Javid Akhtar","doi":"10.1109/ICPACE.2015.7274981","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274981","url":null,"abstract":"The response of transformer windings due to the impact of high voltage surges has evoked the attention of insulation engineers for almost a century. The reason is simple: These fast rising voltages give rise to non-uniform voltage stress distribution along the coil sections and can endanger the insulation of high voltage power transformer windings. Hence an in depth knowledge of this is necessary for insulation engineers to design the winding insulation and also protective devices to be used to ensure that insulation failure does not take place when such fast rising voltages appear at the terminals of high voltage power transformers. In this paper, time domain analysis on model winding of a high voltage power transformer with 12-coil sections and 18-coil sections is being carried out to investigate its dynamic behaviour under a variety of fast rising impulse voltages. Simulation results of both the 12-coil sections and 18-coil sections of model winding impressed with full impulse, time-step and chopped impulse surge voltages with α=10 and 20 have been presented.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"60 1","pages":"405-408"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79889630","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 : 2015-08-01DOI: 10.1109/ICPACE.2015.7274970
Garima Singh
The chief advantage of VSC based HVDC links over conventional HVDC is the controllability it offers on both the rectifier and inverter ends. The DC voltage, AC voltage, frequency, active and reactive power can be controlled on either side, which has been studied. Thereafter, stability analysis for the two- terminal VSC based HVDC transmission system is performed. For the integration of VSC based HVDC links into the networks consisting of large wind farms and other industrial systems, the VSC based link has been checked for transient stability, voltage stability and frequency stability. All simulations are performed using MATLAB. Further, small signal stability of the link is studied to ensure that it is stable under small disturbances. For this analysis, both cases of lossless converter and converter with losses are considered.
{"title":"Controller design and stability analysis of VSC based HVDC transmission system","authors":"Garima Singh","doi":"10.1109/ICPACE.2015.7274970","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274970","url":null,"abstract":"The chief advantage of VSC based HVDC links over conventional HVDC is the controllability it offers on both the rectifier and inverter ends. The DC voltage, AC voltage, frequency, active and reactive power can be controlled on either side, which has been studied. Thereafter, stability analysis for the two- terminal VSC based HVDC transmission system is performed. For the integration of VSC based HVDC links into the networks consisting of large wind farms and other industrial systems, the VSC based link has been checked for transient stability, voltage stability and frequency stability. All simulations are performed using MATLAB. Further, small signal stability of the link is studied to ensure that it is stable under small disturbances. For this analysis, both cases of lossless converter and converter with losses are considered.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"20 1","pages":"344-349"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72934892","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 : 2015-08-01DOI: 10.1109/ICPACE.2015.7274959
Yogesh Sherki, Nikhil Gaikwad, J. Chandle, A. Kulkarni
Earthquake is one of the major natural calamity. So prediction of the reach of earthquake event to the various locations could result in minimizing the disaster due to it. An early warning system for earthquake mainly issues an alarm to have a time margin for evacuating peoples to the safe place or shutting down key facilities like major industrial work etc. to avoid major consequences [1]. This paper contains the design of sensor system and the techniques used for detection and processing of the received signals in real time. The main difference between our method and conventional methods of earthquake location tracking is addition of two planer Azimuth angle. Conventionally the distance triangulation method is used for tracking the earthquake location. But this method is not much accurate since it considers the average speeds of the P and S waves. Speed of seismic waves varies immensely depending upon type of soil, rocks or water etc. below the earth surface. The addition of using the two planer Azimuth angle gives 3-dimensional angle of incoming seismic waves at the sensor system. So using two planer Azimuth angle along with distance triangulation method we can track location of earthquake more accurately by using at least three sensors data.
{"title":"Design of real time sensor system for detection and processing of seismic waves for earthquake early warning system","authors":"Yogesh Sherki, Nikhil Gaikwad, J. Chandle, A. Kulkarni","doi":"10.1109/ICPACE.2015.7274959","DOIUrl":"https://doi.org/10.1109/ICPACE.2015.7274959","url":null,"abstract":"Earthquake is one of the major natural calamity. So prediction of the reach of earthquake event to the various locations could result in minimizing the disaster due to it. An early warning system for earthquake mainly issues an alarm to have a time margin for evacuating peoples to the safe place or shutting down key facilities like major industrial work etc. to avoid major consequences [1]. This paper contains the design of sensor system and the techniques used for detection and processing of the received signals in real time. The main difference between our method and conventional methods of earthquake location tracking is addition of two planer Azimuth angle. Conventionally the distance triangulation method is used for tracking the earthquake location. But this method is not much accurate since it considers the average speeds of the P and S waves. Speed of seismic waves varies immensely depending upon type of soil, rocks or water etc. below the earth surface. The addition of using the two planer Azimuth angle gives 3-dimensional angle of incoming seismic waves at the sensor system. So using two planer Azimuth angle along with distance triangulation method we can track location of earthquake more accurately by using at least three sensors data.","PeriodicalId":6644,"journal":{"name":"2015 International Conference on Power and Advanced Control Engineering (ICPACE)","volume":"3 1","pages":"285-289"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89440412","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：