Plastic Pipe Defect Detection Using Nonlinear  Acoustic Modulation

Priyandoko, Gigih; Fun, Tan Siew

doi:10.22441/sinergi.2015.1.001

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…al., 2007), and so on. Therefore, leakage detection and localization are one of the paramount concerns of pipeline operators and researchers all over the world (Priyandoko and Fun, 2015).…”

Section: Introductionmentioning

confidence: 99%

Non-Destructive Leak Detection in Galvanized Iron Pipe Using Nonlinear Acoustic Modulation Method

Priyandoko

2018

Sinergi

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Non-destructive testing is a wide group of analysis techniques used in science and industry to evaluate the properties of a structure without causing damage to it. The main objective of this project is to carry out experiment to detect leakage in pipeline using nonlinear acoustic modulation method. The nonlinear acoustic modulation approach with low frequency excitation and high frequency acoustic wave is used to reveal modulations in the presence of leak. The pipe used in this experiment was galvanized iron pipe. The experiment is started with the experiment of undamaged specimen and followed by the experiment of damaged specimen with manually applied leak. The results obtained are being observed and the difference between the specimen without leak and with leak can be distinguished. The distance of the leak and the distance of the outlet detected is nearly accurate to the exact location which is leak at 4.0 m and outlet at 6.0 m. Therefore, the results demonstrate that leakage can be detected using nonlinear acoustic modulation, and proved the objective of distinguish the difference between the results of specimen without leak and with leak has succeeded. The damage detection process can be eased with the knowledge on the signal features.

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“…al., 2007), and so on. Therefore, leakage detection and localization are one of the paramount concerns of pipeline operators and researchers all over the world (Priyandoko and Fun, 2015).…”

Section: Introductionmentioning

confidence: 99%

Non-Destructive Leak Detection in Galvanized Iron Pipe Using Nonlinear Acoustic Modulation Method

Priyandoko

2018

Sinergi

Self Cite

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Detecting Classifier-Coal Mill Damage Using a Signal Vibration Analysis

Romahadi

Luthfie

Dorion

2019

Sinergi

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A classifier plays a crucial role in the cement industry. It is in charge of separating coal that has been smoothened out and is ready to be burned although the coal is still rough after going through the grinding process. It takes a long time to burn coal that is not perfectly processed with a classifier. Therefore, it will reduce the amount of cement production, and the factories will release more energy. The closed arrangement and the number of components in the unit classifier requires a sophisticated method to detect damage that occurs early. Vibration analysis is a method that has been effectively employed in detecting the initial damage that occurs to the engine, especially the classifier. This study was aimed at detecting the location of the damage occurring in the classifier by using a vibration signal analysis and by measuring the magnitude of vibration and presenting it to the frequency domain (spectrum) form using Fast Fourier Transform. Engine condition assessment referred to ISO 10816-3 standard in velocity and displacement modes. Based on data spectrum analysis, the dominant damage laid in the unbalanced rotor. Spectrum characteristics of the damage appeared to be in the spectrum line worth 438.01 μm at a 3.5-Hz frequency (1X) radially. This analysis proved to be supported by the decrease in vibration value to 18.65 μm after balancing the Classifier rotor.

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Plastic Pipe Defect Detection Using Nonlinear Acoustic Modulation

Abstract: --

Cited by 2 publications

References 5 publications

Non-Destructive Leak Detection in Galvanized Iron Pipe Using Nonlinear Acoustic Modulation Method

Non-Destructive Leak Detection in Galvanized Iron Pipe Using Nonlinear Acoustic Modulation Method

Detecting Classifier-Coal Mill Damage Using a Signal Vibration Analysis

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