Transient wave-based methods for anomaly detection in fluid pipes: A review

Tong Chuan Che, Huan Feng Duan, Pedro J. Lee

Research output: Journal article publicationReview articleAcademic researchpeer-review

67 Citations (Scopus)


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.

Original languageEnglish
Article number107874
JournalMechanical Systems and Signal Processing
Publication statusPublished - Nov 2021


  • Anomaly detection
  • Fluid pipe system
  • Inverse problem
  • Signal processing
  • Transient wave

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Civil and Structural Engineering
  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications


Dive into the research topics of 'Transient wave-based methods for anomaly detection in fluid pipes: A review'. Together they form a unique fingerprint.

Cite this