scholarly journals Experiment Study on Small Leak Detection and Diagnosis for Propulsion System Pipelines of Sounding Rocket

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 8743-8753 ◽  
Author(s):  
Shaofeng Wang ◽  
Lili Dong ◽  
Jianguo Wang ◽  
Hailing Wang ◽  
Chunsheng Ji ◽  
...  
Keyword(s):  
Leak Detection ◽  
Propulsion System ◽  
Sounding Rocket ◽  
Experiment Study ◽  
Small Leak ◽  
Detection And Diagnosis

scholarly journals A Small Leak Detection Method Based on VMD Adaptive De-Noising and Ambiguity Correlation Classification Intended for Natural Gas Pipelines

Sensors ◽  
2016 ◽  
Vol 16 (12) ◽  
pp. 2116 ◽  
Author(s):  
Qiyang Xiao ◽  
Jian Li ◽  
Zhiliang Bai ◽  
Jiedi Sun ◽  
Nan Zhou ◽  
...  
Keyword(s):  
Natural Gas ◽  
Detection Method ◽  
Leak Detection ◽  
Gas Pipelines ◽  
Natural Gas Pipelines ◽  
Small Leak

AQUASONIC – A Sounding Rocket Based on Hybrid Propulsion

2016 ◽  
Vol 831 ◽  
pp. 3-13 ◽  
Author(s):  
Uwe Apel ◽  
Alexander Baumann ◽  
Christian Dierken ◽  
Thilo Kunath
Keyword(s):  
Nitrous Oxide ◽  
Propulsion System ◽  
Main Element ◽  
Sounding Rocket ◽  
Launch Vehicles ◽  
Flight Altitude ◽  
Hybrid Propulsion ◽  
Space Industry ◽  
Space Agency ◽  
Research Organisations

The AQUASONIC project is aimed to develop a sounding rocket including a hybrid propulsion system based on the propellant combination nitrous oxide and polyethylene. It takes place in the frame of the STERN (Student Experimental Rockets) programme founded by the German Space Agency (DLR) in order to promote students in the area of launch vehicles. Main element of the project is the AQUASONIC rocket, which shall reach a flight altitude of 5-6 km and a velocity of MACH 1. All major activities like design, manufacturing, verification and, finally, the launch campaign will be performed by students. The rocket shall be launched at Esrange Space Centre (Sweden) in 2016. Thus, students are able to apply their skills and knowledge to a real project like it is conducted by the space industry or research organisations.

ARX modeling approach to leak detection and diagnosis

2010 ◽  
Vol 23 (3) ◽  
pp. 462-475 ◽  
Author(s):  
Carlos André Vaz Junior ◽  
José Luiz de Medeiros ◽  
Ofélia de Queiroz Fernandes Araújo
Keyword(s):  
Leak Detection ◽  
Modeling Approach ◽  
Detection And Diagnosis

scholarly journals Acoustic Emission-Based Small Leak Detection of Propulsion System Pipeline of Sounding Rocket

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Lin Gao ◽  
Lili Dong ◽  
Jianguo Cao ◽  
Shaofeng Wang ◽  
Wenjing Liu
Keyword(s):  
Acoustic Emission ◽  
Leak Detection ◽  
Average Frequency ◽  
Kernel Functions ◽  
Estimation Accuracy ◽  
Support Vector ◽  
Pipeline System ◽  
Small Leak ◽  
Pipe Joints ◽  
Pipe Joint

For pipes connected by pipe joints, leaks in the pipeline system are likely to occur at the pipe joints as opposed to the tube itself. Thus, early detection is critical to ensure the safety of the pipeline system. Based on acoustic emission (AE) techniques, this paper presents an experimental research on small leak detection in gas distribution pipelines due to loosening of the pipe joint connection. Firstly, the acoustic characteristics of leak signals are studied; then, features of signals are extracted. Finally, a classifier based on the support vector machine (SVM) technology is established, and the qualified features are selected to detect the leak. It is verified that the main frequency of the AE small leak signal due to the failure of the pipe joint is focused in the range of 33–45 kHz, and the algorithms based on SVM with kernel functions all can reach a better estimation accuracy of 98% using the feature “envelope area” or the feature set {standard deviation (STD), root mean square (RMS), energy, average frequency}.

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