Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/97986
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Civil and Environmental Engineering | en_US |
| dc.creator | Che, TC | en_US |
| dc.creator | Duan, HF | en_US |
| dc.creator | Lee, PJ | en_US |
| dc.date.accessioned | 2023-04-06T07:18:02Z | - |
| dc.date.available | 2023-04-06T07:18:02Z | - |
| dc.identifier.issn | 0888-3270 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/97986 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Academic Press | en_US |
| dc.rights | © 2021 Elsevier Ltd. All rights reserved. | en_US |
| dc.rights | © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
| dc.rights | The following publication Che, T.-C., Duan, H.-F., & Lee, P. J. (2021). Transient wave-based methods for anomaly detection in fluid pipes: A review. Mechanical Systems and Signal Processing, 160, 107874 is available at https://dx.doi.org/10.1016/j.ymssp.2021.107874. | en_US |
| dc.subject | Anomaly detection | en_US |
| dc.subject | Fluid pipe system | en_US |
| dc.subject | Inverse problem | en_US |
| dc.subject | Signal processing | en_US |
| dc.subject | Transient wave | en_US |
| dc.title | Transient wave-based methods for anomaly detection in fluid pipes : a review | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 160 | en_US |
| dc.identifier.doi | 10.1016/j.ymssp.2021.107874 | en_US |
| dcterms.abstract | Over the years, anomaly detection of fluid pipes has been a focus of water authorities as well as oil and gas operators to advance the operation and management of these mechanical systems. This paper presents a comprehensive review on the development and application of transient wave-based methods for the detection of different anomalies in fluid pipes. A brief introduction of the fundamental physics and mechanism of transient waves in both intact and defective pipes is first presented. Different techniques and principles for transient wave generation and measurement are then discussed. In addition, the signal processing techniques commonly used for feature extraction from the measured signals are summarized. The main focus of this paper is on the comprehensive review of the technological advances and characteristics of five common types of transient wave-based anomaly detection methods for fluid pipe systems, namely (1) reflection-based method; (2) damping-based method; (3) FRF peak pattern-based method; (4) time domain full-waveform inversion method; and (5) frequency domain full-waveform inversion method. Afterwards, two practical applications of transient wave-based methods for anomaly detection in real-life fluid pipe systems are introduced and discussed. Finally, recommendations for future work in this research field are given. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Mechanical systems and signal processing, Nov. 2021, v. 160, 107874 | en_US |
| dcterms.isPartOf | Mechanical systems and signal processing | en_US |
| dcterms.issued | 2021-11 | - |
| dc.identifier.scopus | 2-s2.0-85103779547 | - |
| dc.identifier.eissn | 1096-1216 | en_US |
| dc.identifier.artn | 107874 | en_US |
| dc.description.validate | 202303 bcfc | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | CEE-0117 | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 48005463 | - |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Che_Transient_Wave-Based_Methods.pdf | Pre-Published version | 3.94 MB | Adobe PDF | View/Open |
Page views
123
Last Week
5
5
Last month
Citations as of Nov 9, 2025
Downloads
336
Citations as of Nov 9, 2025
SCOPUSTM
Citations
150
Citations as of Dec 19, 2025
WEB OF SCIENCETM
Citations
134
Citations as of Dec 18, 2025
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



