A review on different pipeline fault detection methods. (May 2016)
- Record Type:
- Journal Article
- Title:
- A review on different pipeline fault detection methods. (May 2016)
- Main Title:
- A review on different pipeline fault detection methods
- Authors:
- Datta, Shantanu
Sarkar, Shibayan - Abstract:
- Abstract: Pipeline faults like leakage and blockage always create problem for engineers. Detection of exact fault quantity and its location is necessary for smooth functioning of a plant or industry and safety of the environment. In this paper brief discussion is made on various pipeline fault detection methods viz. Vibration analysis, Pulse echo methodology, Acoustic techniques, Negative pressure wave based leak detection system, Support Vector Machine (SVM) based pipeline leakage detection, Interferometric fibre sensor based leak detection, Filter Diagonalization Method (FDM), etc. In this paper merit and demerits of all methods are discussed. It is found that these methods have been applied for specific fluids like oil, gas and water, for different layout patterns like straight and zigzag, for various lengths of pipeline like short and long and also depending on various operating conditions. Therefore, a comparison among all methods has been done based on their applicability. Among all fault detection methods, Acoustic reflectometry is found most suitable because of its proficiency to identify blockages and leakage in pipe as small as 1% of its diameter. Moreover this method is economical and applicable for straight, zigzag and long, short length pipes for low, medium and high density fluid. Highlights: Software and Hardware based Methods are used for pipeline fault detection. Discussion on performance of different methods for blockage and leakage detection. ComparisonAbstract: Pipeline faults like leakage and blockage always create problem for engineers. Detection of exact fault quantity and its location is necessary for smooth functioning of a plant or industry and safety of the environment. In this paper brief discussion is made on various pipeline fault detection methods viz. Vibration analysis, Pulse echo methodology, Acoustic techniques, Negative pressure wave based leak detection system, Support Vector Machine (SVM) based pipeline leakage detection, Interferometric fibre sensor based leak detection, Filter Diagonalization Method (FDM), etc. In this paper merit and demerits of all methods are discussed. It is found that these methods have been applied for specific fluids like oil, gas and water, for different layout patterns like straight and zigzag, for various lengths of pipeline like short and long and also depending on various operating conditions. Therefore, a comparison among all methods has been done based on their applicability. Among all fault detection methods, Acoustic reflectometry is found most suitable because of its proficiency to identify blockages and leakage in pipe as small as 1% of its diameter. Moreover this method is economical and applicable for straight, zigzag and long, short length pipes for low, medium and high density fluid. Highlights: Software and Hardware based Methods are used for pipeline fault detection. Discussion on performance of different methods for blockage and leakage detection. Comparison based on applicability on types of fluid, long, short, zigzag, straight pipeline. Acoustic reflectometry has vast applicability in fault detection followed by impedance method. … (more)
- Is Part Of:
- Journal of loss prevention in the process industries. Volume 41(2016:May)
- Journal:
- Journal of loss prevention in the process industries
- Issue:
- Volume 41(2016:May)
- Issue Display:
- Volume 41 (2016)
- Year:
- 2016
- Volume:
- 41
- Issue Sort Value:
- 2016-0041-0000-0000
- Page Start:
- 97
- Page End:
- 106
- Publication Date:
- 2016-05
- Subjects:
- Pipeline -- Fault detection methods -- Overview -- Leakage and blockage -- Safety
Chemical industries -- Safety measures -- Periodicals
660.2804 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09504230/ ↗
http://www.journals.elsevier.com/journal-of-loss-prevention-in-the-process-industries/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jlp.2016.03.010 ↗
- Languages:
- English
- ISSNs:
- 0950-4230
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5010.562000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2451.xml