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1.发明公开公开(公告)号：US20240272032A1
公开(公告)日：2024-08-15
申请号：US18422087
申请日：2024-01-25
CPC分类号： G01M3/243 , G01N29/0672 , G01N29/14 , G01N29/2437 , G01N29/42 , G01N2291/0289 , G01N2291/106 , G01N2291/2636
摘要： A transient-based time reversal (TR) technique for acoustic imaging of a pressurized water supply pipeline is provided. Measured multi-input-multi-output (MIMO) imaging data at high frequency (10kH-100 kHz) are processed by an adapted Time Reversal-MUltiple SIgnal Classification (TR-MUSIC) algorithm to provide a high-resolution image of a pipeline section about 100 m long. The resultant image reveals the pipe wall inner and outer condition, and incipient and existing defects at a scale up to millimeters. The technique is tested and validated in a laboratory environment and in a large-scale facility on pressurized water-filled viscoelastic high-density polyethylene pipes. Furthermore, the technique can be applied to different fluids and pipe materials. In addition, the technique is computationally efficient, and nondestructive. The technique requires only local intrusion for placing transducers at an access point.
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公开(公告)号：US20240219355A1
公开(公告)日：2024-07-04
申请号：US18399826
申请日：2023-12-29
CPC分类号： G01N29/348 , G01N29/12 , G01N29/2412 , G01N29/36
摘要： A defect detection method is provided for a pressurized pipe having at least one defect. According to the method, an acoustic source generates a probing wave of a frequency range from 10 kHz to 100 kHz, where the probing wave is scattered by the at least one defect to create a reflected wave; an acoustic receiver measures a wave response to obtain a measured response, where the measured response is attributed essentially to a superposition of the probing wave and the reflected wave; and a computer device processes the measured response to locate the at least one defect.
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3.发明公开公开(公告)号：US20240288130A1
公开(公告)日：2024-08-29
申请号：US18585161
申请日：2024-02-23
CPC分类号： F17D5/02 , G01M3/2815
摘要： A technique for detection, classification and location identification of defects in a pressurized pipe network uses supervised machine learning and transient response signals (TRSs) of potential defect scenarios as training data. The TRSs are obtained from a model and/or measurements. The TRSs are arranged in an appropriate matrix form and its singular vectors (SVs) are obtained using singular value decomposition. The defect detection and classification procedure is conducted by projecting a measured TRS of the pipe network into a SV space. The location of the measured TRS in the SV space indicates the state of defective pipe section (if any), classify the defect according to clusters of training data (e.g., leak, blockage), and locate the defect within an identified defective section. The technique can accurately detect defective pipes in a network with a training data set as small as three scenarios per pipe section and one single measurement location.
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公开(公告)号：US20240201041A1
公开(公告)日：2024-06-20
申请号：US18503240
申请日：2023-11-07
CPC分类号： G01M3/2815 , G06F17/14
摘要： A method of defect detection is provided for a pressurized pipe having an upstream node and a downstream node. The method comprises generating, by a wave source located at xS at the downstream node, a transient wave travelling in a direction from the downstream node towards the upstream node, measuring, by a pressure sensor located at xR upstream of the wave source, a transient response caused by the transient wave to obtain a measured signal; and processing, by a computer device to execute a time-reversal (TR) algorithm, the measured signal for determining one or more defects of the pressurized pipe.
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