While measuring the steam humidity using microwave cylindrical cavity, thanks to the thermal expansion effect of metal, the resonant frequency changes as temperature changes. Such phenomenon reduces the measurement accuracy. This paper analyses the phenomenon, and discusses an amended calculation method which will increase the test accuracy. Compared with lab test results, this amended method becomes more convictive.
The uncertainty of the geographical environment and climate in the power transmission lines leading to the safe operation of the power grid lines become an important indicator of reliability. Transmission line monitoring system monitors transmission line mechanical parameters and meteorological data in the operation. In order to realizing monitoring, prediction and positioning accurately in typical faults, ZIGBEE and GPRS are adopted to transmit mechanical parameters and meteorological data in monitoring system.
Optimization of microwave filter structure parameter based on traditional learning methods faces problems like long design cycles, complex calculation and sensitive to initial value, and so on. A hybrid trust region algorithm which combine the improved trust region with the advance and retreat method is introduced to the field of optimization of microwave filter structure parameter for the first time. Comparison between the methods based on the traditional trust region method and the improved trust region method reveals that the algorithm can significantly increase precision and speed of optimization model of the microwave cavity filter parameters.
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