A pressure-based method for monitoring leaks in a pipe distribution system: A Review

Abstract

Leakage from a pipe network possibly poses significant environmental destruction and economic losses due to the release of potential energy. While the pipe network may be planned and constructed to satisfy the requirements of rigorous conditions, it is quite hard to avoid the subsequent appearance of leakages in a pipeline during the system's lifetime. Pressure leak detection enables a fast and reliable action response which is necessary to minimise the damage. Many leak detection approaches have been previously suggested. These methods basically depend on numerical modelling and transient analysis, such as inverse transient analysis, time domain analysis and frequency domain analysis, the negative pressure method, etc. Many methods build upon the analysis of the variation of measured pressure, such as the pressure residual vector method. Hydraulic leak detection has the important advantage of being less costly and has a faster response compared to other leak detection approaches. In this work, various leak detection methods based on pressure are listed and the analysis is reviewed. Both steady state and unsteady state conditions are discussed. The advantages and disadvantages of each approach are mentioned. In addition, methods are included that are suitable for use in both the oil and water industries.

An Inverse Transient Nonmetallic Pipeline Leakage Diagnosis Method Based on Markov Quantitative Judgment

“…e characteristic line grid is shown in Figure 1. Equations (9) and (11) are C+ and C− characteristic lines AP and BP, respectively; equations (8) and 10are the compatibility equations for satisfying the respective characteristic lines. e pipes are equally divided into N equal parts, the step size is Δx, and the time step is Δt � aΔx.…”

“…In 2017, Abdulshaheed proved that the biggest problem in the use of the inverse transient method is that the modeling of transients in the system does not accurately reflect the actual situation, and the calculated data and measured experimental data are very different. e difference is mainly because the model does not accurately consider the multidimensional effect of unstable friction [11]. In 2017, Chen et al tested the transient model of pipeline leakage through the characteristic line method and confirmed that the positioning results calculated using the starting and ending pressure and flow results at the steady state after pipeline leakage are close to the real values [12].…”

Fatigue life prediction of clutch sleeve based on abrasion mathematical model in service period

“…An air blower with a hollow blade and a special transmission system was designed to press the air into the leakage gap, which offset the leakage caused by the side pressure and suction in the axial fan. Abdulshaheed et al 17 analysed a variety of leakage testing methods under pressure and discussed the leakage problems in stable and unstable states and summarized different detection methods for special oil and water conveyance purposes. Abdulshaheed et al 17 analysed a variety of leakage testing methods under pressure and discussed the leakage problems in stable and unstable states and summarized different detection methods for special oil and water conveyance purposes.…”

“…During the analysis of the leakage, Fox et al 16 especially considered the interaction between structure and leakage dynamics then proposed a throttle equation with constant flow coefficient to use and accurately estimate the dynamic leakage flow of longitudinal cracks. Abdulshaheed et al 17 analysed a variety of leakage testing methods under pressure and discussed the leakage problems in stable and unstable states and summarized different detection methods for special oil and water conveyance purposes. Eparu et al 18 used a numerical simulation of gas leakage in buried pipelines.…”

Multi-parameter dynamical measuring system using fibre Bragg grating sensors for industrial hydraulic piping

“…Multi-parameter dynamical measurement of hydraulic piping systems is needed for performance testing and real-time condition monitoring to prevent fatigue failure [6][7][8][9]. State-of-the-art multi-parameter dynamical measuring technology and systems with high accuracy, good environmental adaptability and low cost, and permitting easy integration and operation, are in high demand [10,11]. However, traditional electrical/piezoelectric sensors (such as resistance strain gauges, thermocouples, piezoelectric accelerometers, and electric pressure transducers) and electronic instruments, and non-destructive evaluation methods (for example, ultrasonic, acoustic emission, radiography, magnetic particle, and magnetic flux), are not suited to harsh environments [12,13].…”