Abstract
Leak detection is one of the main tasks of pipeline inspection, as the extension of pipelines usually requires a pipeline repair capability. Reliable and fast detection of fluid leaks in pipelines is extremely important for seaports, where their branched system is located. The most frequent locations of pipeline leakages are seam weldings and flanged joints, which are most exposed to plastic deformation. The aim of this study was to detect leaks in a technological pipeline connecting two vertical bitumen storage tanks. Based on the spectral analysis of acoustic emission signals (AE), a characteristic picture of the pipeline micro-damage process course (leakage, delamination, cracking, rupture, etc.) was obtained.
Highlights
Automated system swim-fin efficiency movement pattern automatski sustav učinkovitost peraja za plivanje obrazac kretanja
Because reproducible swimming technique is difficult to obtain due to the diver’s fatigue during an experiment, an automated system is desirable to carry out experimentation leading to reliable results
The test bench has been equipped with a controlling system which has been developed based on movement patterns obtained using computer vision techniques
Summary
Automated system swim-fin efficiency movement pattern automatski sustav učinkovitost peraja za plivanje obrazac kretanja A genuine pattern of movement of a diver’s leg is necessary for developing a control system of the robotic leg. To gather necessary data, the experiments with a diver were carried out in a swimming pool. The experiments were conducted for various speeds and different types of fins, which facilitated obtaining representative data.
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