A Noncontact Method for the Detection and Diagnosis of Surface Damage in Immersed Structures

Q2 Physics and Astronomy

Advances in Acoustics and Vibration Pub Date : 2015-05-19 DOI:10.1155/2015/429749

Y. Sidibé, F. Druaux, D. Lefebvre, F. Léon, G. Maze

引用次数: 1

Abstract

Detection and diagnosis method is proposed for surface damage in immersed structures. It is based on noncontact ultrasonic echography measurements, signal processing tools, and artificial intelligence methods. Significant features are extracted from the measured signals and a classification method is developed to detect the echoes resulting from surface damage in an immersed structure. The identification of the damage is also provided. Gaussian neural networks trained with a specific learning algorithm are developed for this purpose. The performance of the method is validated by laboratory experiments which indicate that this method could be suitable for the monitoring of inaccessible systems like marine turbines whose unavailability causes severe economic losses.

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一种水下结构表面损伤的非接触检测与诊断方法

提出了浸入式结构表面损伤的检测与诊断方法。它基于非接触式超声测量、信号处理工具和人工智能方法。从测量信号中提取重要特征，提出了一种水下结构表面损伤回波分类检测方法。还提供了对损害的识别。高斯神经网络训练与特定的学习算法是为此目的而开发的。通过室内实验验证了该方法的有效性，表明该方法适用于船舶水轮机等不可达系统的监测，其不可达性会造成严重的经济损失。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in Acoustics and Vibration ACOUSTICS-

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期刊介绍： The aim of Advances in Acoustics and Vibration is to act as a platform for dissemination of innovative and original research and development work in the area of acoustics and vibration. The target audience of the journal comprises both researchers and practitioners. Articles with innovative works of theoretical and/or experimental nature with research and/or application focus can be considered for publication in the journal. Articles submitted for publication in Advances in Acoustics and Vibration must neither have been published previously nor be under consideration elsewhere. Subject areas include (but are not limited to): Active, semi-active, passive and combined active-passive noise and vibration control Acoustic signal processing Aero-acoustics and aviation noise Architectural acoustics Audio acoustics, mechanisms of human hearing, musical acoustics Community and environmental acoustics and vibration Computational acoustics, numerical techniques Condition monitoring, health diagnostics, vibration testing, non-destructive testing Human response to sound and vibration, Occupational noise exposure and control Industrial, machinery, transportation noise and vibration Low, mid, and high frequency noise and vibration Materials for noise and vibration control Measurement and actuation techniques, sensors, actuators Modal analysis, statistical energy analysis, wavelet analysis, inverse methods Non-linear acoustics and vibration Sound and vibration sources, source localisation, sound propagation Underwater and ship acoustics Vibro-acoustics and shock.