Features extraction of geometry defect monitoring in cylindrical piping
This study aims to investigate the features of wave in the single Polyvinyl Chloride (PVC) cylindrical pipeline. This project involved the monitoring process of without defect and defect single pipeline. The experiment process involved the simple geometry defect including the horizontal and ve...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/1972/1/24p%20MOHD%20FAIZ%20MOKHTAR.pdf http://eprints.uthm.edu.my/1972/2/MOHD%20FAIZ%20MOKHTAR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1972/3/MOHD%20FAIZ%20MOKHTAR%20WATERMARK.pdf http://eprints.uthm.edu.my/1972/ |
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| Summary: | This study aims to investigate the features of wave in the single Polyvinyl Chloride
(PVC) cylindrical pipeline. This project involved the monitoring process of without
defect and defect single pipeline. The experiment process involved the simple
geometry defect including the horizontal and vertical cracks. The sensor used in this
project is the Piezoelectric Wafer Active Sensor (PWAS) which the sensors use to
detect the lamb wave. As a part of non-destructive test process, this crack detection
process involving the process of analyzing wave obtained from the sensor. The
size of defect is the manipulated variables use in this project which including the
size of crack start from 1 cm to 5 cm. However, this project is only concentrate only
on the semicircular part of the cross-section of the pipeline. Because of that, all the
six sensors used in this project attached only in the distance 36º between each sensor.
This project indicates the different pattern of wave for each sensor as each sensor
has own angle from the midpoint of the circular cross-section. The different pattern
produced by each sensor in the present of crack and for normal pipe was analyzed
for the understanding the effect of the defect in the normal single PVC pipeline. The
data produced by each sensor then was filter to get the best accurate and consistent
data. Filter data next to analyzed followed by the features choice for time domain
including the maximum peak, minimum peak, velocity of the wave and maximum
amplitude versus angle of the sensors for both horizontal and vertical defect. The
results of each features is discussed graphically in results and discussion chapter. |
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