scholarly journals Fault Detection Performance Analysis of GNSS Integrity RAIM

2012 ◽  
Vol 20 (3) ◽  
pp. 49-56
Author(s):  
Ji Hye Kim ◽  
Kwan Dong Park ◽  
Du Sik Kim
Keyword(s):  
Performance Analysis ◽  
Fault Detection ◽  
Detection Performance

Fault detection performance of multi-mode transmission reflection analysis for few-mode fiber link

2021 ◽  
Author(s):  
Wenping Zhang ◽  
Feng Liu ◽  
Zhenxing He ◽  
Lixin Xu ◽  
Guijun Hu
Keyword(s):  
Fault Detection ◽  
Detection Performance ◽  
Fiber Link ◽  
Multi Mode

scholarly journals Fault Detection Method Based on Global-Local Marginal Discriminant Preserving Projection for Chemical Process

Processes ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 122
Author(s):  
Yang Li ◽  
Fangyuan Ma ◽  
Cheng Ji ◽  
Jingde Wang ◽  
Wei Sun
Keyword(s):  
Feature Extraction ◽  
Fault Detection ◽  
Chemical Process ◽  
Detection Method ◽  
Detection Performance ◽  
Detection Methods ◽  
Normal Operation ◽  
Discriminative Feature ◽  
Inherent Feature ◽  
Global And Local

Feature extraction plays a key role in fault detection methods. Most existing methods focus on comprehensive and accurate feature extraction of normal operation data to achieve better detection performance. However, discriminative features based on historical fault data are usually ignored. Aiming at this point, a global-local marginal discriminant preserving projection (GLMDPP) method is proposed for feature extraction. Considering its comprehensive consideration of global and local features, global-local preserving projection (GLPP) is used to extract the inherent feature of the data. Then, multiple marginal fisher analysis (MMFA) is introduced to extract the discriminative feature, which can better separate normal data from fault data. On the basis of fisher framework, GLPP and MMFA are integrated to extract inherent and discriminative features of the data simultaneously. Furthermore, fault detection methods based on GLMDPP are constructed and applied to the Tennessee Eastman (TE) process. Compared with the PCA and GLPP method, the effectiveness of the proposed method in fault detection is validated with the result of TE process.

Detection Performance Analysis of Multistatic Sonar System Based on Cumulative Detection*

2021 ◽  
Author(s):  
Zhou Ziling ◽  
Fang Erzheng ◽  
Yin Xuanzi ◽  
Gui Chenyang
Keyword(s):  
Performance Analysis ◽  
Detection Performance ◽  
Sonar System

Detection Performance Analysis of All-Fiber Coherent Wind Lidar Under Different Weather Types

2017 ◽  
Vol 44 (2) ◽  
pp. 0210003
Author(s):  
范 琪 Fan Qi ◽  
朱克云 Zhu Keyun ◽  
郑佳锋 Zheng Jiafeng ◽  
张 杰 Zhang Jie ◽  
周鼎富 Zhou Dingfu ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Detection Performance ◽  
Weather Types ◽  
Wind Lidar
Sign in / Sign up

Export Citation Format

Share Document