High precision detection method of methane in extreme environment based on TDLAS

2021 ◽  
Author(s):  
Tingting Zhang ◽  
Lin Zhang ◽  
Yanfang Li ◽  
Yubin Wei ◽  
Zhaowei Wang ◽  
...  
Keyword(s):  
High Precision ◽  
Detection Method ◽  
Extreme Environment

High-Precision Atmospheric Disturbance Detection Method for Moving Objects

2021 ◽  
Vol 41 (2) ◽  
pp. 0228002
Author(s):  
张月 Zhang Yue ◽  
王旭 Wang Xu ◽  
苏云 Su Yun ◽  
张学敏 Zhang Xuemin ◽  
邬志强 Wu Zhiqiang ◽  
...  
Keyword(s):  
High Precision ◽  
Moving Objects ◽  
Detection Method ◽  
Atmospheric Disturbance ◽  
Disturbance Detection

High precision detection method of safety helmet based on convolution neural network

2021 ◽  
Vol 36 (7) ◽  
pp. 1018-1026
Author(s):  
Tian-yu LI ◽  
◽  
Dong LI ◽  
Ming-ju CHEN ◽  
Hao WU ◽  
...  
Keyword(s):  
Neural Network ◽  
High Precision ◽  
Detection Method ◽  
Convolution Neural Network

scholarly journals Improved High Precision Aircraft Target Detection Method of YOLT

2021 ◽  
Vol 1955 (1) ◽  
pp. 012028
Author(s):  
Jiaxing Mao ◽  
Xinyu Zhang ◽  
Yang Ji ◽  
Zhen Zhang ◽  
Zihao Guo
Keyword(s):  
Target Detection ◽  
High Precision ◽  
Detection Method

A high-precision multi-targets visual detection method in automatic driving scene

2020 ◽  
Vol 1 (1) ◽  
pp. 135-140
Author(s):  
Huizhi Shi ◽  
Jinqi Zhang ◽  
Xuechen Qiao ◽  
Yue Peng ◽  
Zhiqi Xu
Keyword(s):  
High Precision ◽  
Visual Detection ◽  
Detection Method ◽  
Automatic Driving

scholarly journals Research on Fault Detection Method of FADS System

2020 ◽  
Vol 38 (6) ◽  
pp. 1210-1217
Author(s):  
Qianlei Jia ◽  
Weiguo Zhang ◽  
Jingping Shi ◽  
Guangwen Li ◽  
Xiaoxiong Liu
Keyword(s):  
Fault Detection ◽  
High Precision ◽  
Detection Method ◽  
Measurement Noise ◽  
Distribution Characteristics ◽  
Detection Problem ◽  
Chi Square ◽  
Statistical Knowledge ◽  
Noise Simulation ◽  
Simulation Results

In order to solve the fault detection problem of flush air data sensing (FADS), an advanced airborne sensor, a new method is proposed in this paper. First, the high-precision FADS model is established on the basis of the database obtained from the CFD software and aerodynamics knowledge. Then, the distribution characteristics of each group of signals under fault condition are derived through strict formulas. Meanwhile, the threshold of alarm times is designed with statistical knowledge. For verifying the effectiveness of the newly proposed method, a comparison with other two widely adopted methods, including the methods based on parity equation and Chi-square χ2 distribution, is conducted under different measurement noise. Simulation results show that the proposed fault detection method for FADS possess higher accuracy and stronger anti-interference.

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