Research on mixed signal separation method for pipeline leakage based on RobustICA

2016 ◽  
Author(s):  
Qi Li ◽  
Minghao Li ◽  
Xiaoping Zhang ◽  
Wei Ba
Keyword(s):  
Separation Method ◽  
Signal Separation ◽  
Mixed Signal

scholarly journals Dynamic and quasi-static signal separation method for bridges under moving loads based on long-gauge FBG strain monitoring

2019 ◽  
Vol 38 (2) ◽  
pp. 388-402
Author(s):  
Huaxi Lu ◽  
Zhicheng Gao ◽  
Bitao Wu ◽  
Zhenwei Zhou
Keyword(s):  
Health Monitoring ◽  
Strain Sensors ◽  
Separation Method ◽  
Signal Separation ◽  
Dynamic Monitoring ◽  
Static Strain ◽  
Strain Monitoring ◽  
Important Means ◽  
Vehicle Loads ◽  
Strain Signal

Structural health monitoring is an important means of obtaining the state information of bridges, and the extracted quasi-static strain signal can reflect the stress state of bridges directly. However, the strain signals acquired during the operation stage of bridges are dynamic, and the strain gauges used in the health monitoring system are short (no more than 10 cm), which means they are easily affected by small damage at the installation parts of bridges and thereby the monitoring signal abnormalities occur. A type of externally affixed long-gauge fiber strain gauge is used to monitor the health of bridges, and the dynamic and quasi-static signal separation method for long-gauge strain sensors is studied under different vehicle loads; at the same time, the dynamic monitoring performance of the long-gauge sensor is investigated in this paper. The quasi-static strain signal extracted from the dynamic macro-strain signal can be used to directly monitor the stress status of the bridge. The results show that the method proposed in this paper is feasible for extracting the quasi-static macro-strain from a dynamic long-gauge strain signal.

A thermographic data augmentation and signal separation method for defect detection

2020 ◽  
Author(s):  
Kaixin Liu ◽  
Yuwei Tang ◽  
Weiyao Lou ◽  
Yi Liu ◽  
Jianguo Yang ◽  
...  
Keyword(s):  
Defect Detection ◽  
Data Augmentation ◽  
Separation Method ◽  
Signal Separation
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