CMT uses the stream control transmission protocol＇s（SCTPs） multihoming feature to distribute data across multiple end-to-end paths in a multihomed SCTP association. As the disparity of multipaths, it is facing a gr...CMT uses the stream control transmission protocol＇s（SCTPs） multihoming feature to distribute data across multiple end-to-end paths in a multihomed SCTP association. As the disparity of multipaths, it is facing a great challenge to solve the disorder of the received data packets. To lighten the reordering degree and then to improve the throughput performance, we need to estimate the real-time paths＇ bandwidth and round trip time（RTT） as exactly as possible. In this paper, we use the extended vector（ext-vec） Kalman filter（KF） to predict the available bandwidth and RTT of each path simultaneously. Based on this, we propose a predictive path selection algorithm for CMT in SCTP. To simulate and compare the algorithms＇ performance, two kinds of scenarios, bandwidth sensitive scenario and time and bandwidth sensitive scenario, are built and NS-2 is used. The simulation results show that the path selection algorithm can lessen the data packets disordering by correctly predicting each path＇s bandwidth and RTT in real time. Comparing the existing algorithms, the algorithm can converge more quickly and can improve the system total throughput in a certain extent in bandwidth sensitive scenario. To time and bandwidth sensitive scenario, it can greatly improve the convergence speed and total throughput.展开更多
Today, induction machines are playing, thanks to their robustness, an important role in world industries. Although they are quite reliable, they have become the target of various types of defects. Thus, for a long tim...Today, induction machines are playing, thanks to their robustness, an important role in world industries. Although they are quite reliable, they have become the target of various types of defects. Thus, for a long time, many research laboratories have been focusing their works on the theme of diagnosis in order to find the most efficient technique to predict a fault in an early stage and to avoid an unplanned stopping in the chain of production and costs ensuing. In this paper, an approach called Park＇s vector product approach （PVPA） was proposed which was endowed with a dominant sensitivity in the case in which there would be rotor or stator faults. To show its high sensitivity, it was compared with the classical methods such as motor current signature analysis （MCSA） and techniques studied in recent publications such as motor square current signature analysis （MSCSA）, Park＇s vector square modulus （PVSM） and Park-Hilbert （P-H） （PVSMp_H）. The proposed technique was based on three main steps. First, the three-phase currents of the induction motor led to a Park＇s vector. was calculated to show Secondly, the proposed PVPA the distinguishing spectral signatures of each default and specific frequencies. Finally, simulation and experimental results were presented to confirm the theoretical assumptions.展开更多
基金supported by the National Natural Science Foundation of China (61179006)the Natural Science Foundation of Jiangsu Province,China (BK20141068)
文摘CMT uses the stream control transmission protocol＇s（SCTPs） multihoming feature to distribute data across multiple end-to-end paths in a multihomed SCTP association. As the disparity of multipaths, it is facing a great challenge to solve the disorder of the received data packets. To lighten the reordering degree and then to improve the throughput performance, we need to estimate the real-time paths＇ bandwidth and round trip time（RTT） as exactly as possible. In this paper, we use the extended vector（ext-vec） Kalman filter（KF） to predict the available bandwidth and RTT of each path simultaneously. Based on this, we propose a predictive path selection algorithm for CMT in SCTP. To simulate and compare the algorithms＇ performance, two kinds of scenarios, bandwidth sensitive scenario and time and bandwidth sensitive scenario, are built and NS-2 is used. The simulation results show that the path selection algorithm can lessen the data packets disordering by correctly predicting each path＇s bandwidth and RTT in real time. Comparing the existing algorithms, the algorithm can converge more quickly and can improve the system total throughput in a certain extent in bandwidth sensitive scenario. To time and bandwidth sensitive scenario, it can greatly improve the convergence speed and total throughput.
文摘Today, induction machines are playing, thanks to their robustness, an important role in world industries. Although they are quite reliable, they have become the target of various types of defects. Thus, for a long time, many research laboratories have been focusing their works on the theme of diagnosis in order to find the most efficient technique to predict a fault in an early stage and to avoid an unplanned stopping in the chain of production and costs ensuing. In this paper, an approach called Park＇s vector product approach （PVPA） was proposed which was endowed with a dominant sensitivity in the case in which there would be rotor or stator faults. To show its high sensitivity, it was compared with the classical methods such as motor current signature analysis （MCSA） and techniques studied in recent publications such as motor square current signature analysis （MSCSA）, Park＇s vector square modulus （PVSM） and Park-Hilbert （P-H） （PVSMp_H）. The proposed technique was based on three main steps. First, the three-phase currents of the induction motor led to a Park＇s vector. was calculated to show Secondly, the proposed PVPA the distinguishing spectral signatures of each default and specific frequencies. Finally, simulation and experimental results were presented to confirm the theoretical assumptions.
