The SPATE 8000 Thermo-Elastic Camera For Dynamic Stress Measurement On Nuclear Plant Components

1987 ◽  
Author(s):  
R. G. Bream ◽  
B. C. Gasper ◽  
B. E. Lloyd ◽  
S. W. J. Page
Keyword(s):  
Dynamic Stress ◽  
Stress Measurement ◽  
Nuclear Plant ◽  
Plant Components

scholarly journals Dynamic Stress Measurement with Sensor Data Compensation

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 859
Author(s):  
Jingjing Gu ◽  
Zhiteng Dong ◽  
Cai Zhang ◽  
Xiaojiang Du ◽  
Mohsen Guizani
Keyword(s):  
Neural Network ◽  
Dynamic Stress ◽  
Stress Measurement ◽  
Rapid Change ◽  
Back Propagation ◽  
Environmental Parameters ◽  
Back Propagation Neural Network ◽  
Sensor Data ◽  
Bee Colony ◽  
Stability Of Solution

Applying parachutes-deployed Wireless Sensor Network (WSN) in monitoring the high-altitude space is a promising solution for its effectiveness and cost. However, both the high deviation of data and the rapid change of various environment factors (air pressure, temperature, wind speed, etc.) pose a great challenge. To this end, we solve this challenge with data compensation in dynamic stress measurements of parachutes during the working stage. Specifically, we construct a data compensation model to correct the deviation based on neural network by taking into account a variety of environmental parameters, and name it as Data Compensation based on Back Propagation Neural Network (DC-BPNN). Then, for improving the speed and accuracy of training the DC-BPNN, we propose a novel Adaptive Artificial Bee Colony (AABC) algorithm. We also address its stability of solution by deriving a stability bound. Finally, to verify the real performance, we conduct a set of real implemented experiments of airdropped WSN.

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