On the reliability of an automated ultrasonic system for hull inspection in ship-based oil production units

Carvalho, A. A.; Sagrilo, Luís Volnei Sudati; Silva, I.C.; Rebello, J. M. A.; Carneval, R. O.

doi:10.1016/j.apor.2004.02.004

Cited by 25 publications

(10 citation statements)

References 1 publication

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“…Because of some special characteristics of A 0 mode of GWs (i.e., out-off-the-plate displacements) they have been used as a preventive technique for bio-fouling on ship structures [ 44 ]. Carvalho et al [ 117 ] used the ultrasounic automated system to inspect corrosion induced superficial defects in marine/ship structures. The artificial neural networks (ANN) has been used by some researchers as a reliable method in automatic ultrasonic testing and defect detection in pipelines [ 118 ].…”

Section: Research Literature Review On Various Aspects Of Ugws Tecmentioning

confidence: 99%

Structural Health Monitoring (SHM) and Determination of Surface Defects in Large Metallic Structures using Ultrasonic Guided Waves

Abbas

Shafiee

2018

Sensors

114

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Ultrasonic guided wave (UGW) is one of the most commonly used technologies for non-destructive evaluation (NDE) and structural health monitoring (SHM) of structural components. Because of its excellent long-range diagnostic capability, this method is effective in detecting cracks, material loss, and fatigue-based defects in isotropic and anisotropic structures. The shape and orientation of structural defects are critical parameters during the investigation of crack propagation, assessment of damage severity, and prediction of remaining useful life (RUL) of structures. These parameters become even more important in cases where the crack intensity is associated with the safety of men, environment, and material, such as ship’s hull, aero-structures, rail tracks and subsea pipelines. This paper reviews the research literature on UGWs and their application in defect diagnosis and health monitoring of metallic structures. It has been observed that no significant research work has been convened to identify the shape and orientation of defects in plate-like structures. We also propose an experimental research work assisted by numerical simulations to investigate the response of UGWs upon interaction with cracks in different shapes and orientations. A framework for an empirical model may be considered to determine these structural flaws.

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Section: Research Literature Review On Various Aspects Of Ugws Tecmentioning

confidence: 99%

Structural Health Monitoring (SHM) and Determination of Surface Defects in Large Metallic Structures using Ultrasonic Guided Waves

Abbas

Shafiee

2018

Sensors

114

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“…Additionally, Carvalho et al. () used a probability‐of‐detection metric to assess the effectiveness of these sorts of acoustic‐based sensors. Regardless of the specific robot used, the significant amount of infrastructure required for beacon‐based navigation (Milne, ) hinders the widespread use of these robotic systems in large shipping ports.…”

Section: Related Workmentioning

confidence: 99%

“…Like the Lamp Ray, this system used a specifically-designed LBL acoustic beacon system for navigation around ship hulls and similar underwater structure. Additionally, Carvalho et al (2003) used a probability-of-detection metric to assess the effectiveness of these sorts of acoustic-based sensors. Regardless of the specific robot used, the significant amount of infrastructure required for beacon-based navigation (Milne, 1983) hinders the widespread use of these robotic systems in large shipping ports.…”

Section: Robotic Underwater Surveillancementioning

confidence: 99%

Long‐term Mapping Techniques for Ship Hull Inspection and Surveillance using an Autonomous Underwater Vehicle

Ozog

Carlevaris-Bianco

Kim

et al. 2015

Journal of Field Robotics

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This paper reports on a system for an autonomous underwater vehicle to perform in-situ, multiple session, hull inspection using long-term simultaneous localization and mapping (SLAM). Our method assumes very little a-priori knowledge, and does not require the aid of acoustic beacons for navigation, which is a typical mode of navigation in this type of application. Our system combines recent techniques in underwater saliency-informed visual SLAM and a method for representing the ship hull surface as a collection of many locally planar surface features. This methodology produces accurate maps that can be constructed in real-time on consumer-grade computing hardware. A single-session SLAM result is initially used as a prior map for later sessions, where the robot automatically merges the multiple surveys into a common hull-relative reference frame. To perform the re-localization step, we use a particle filter that leverages the locally planar representation of the ship hull surface, and a fast visual descriptor matching algorithm. Finally, we apply the recentlydeveloped graph sparsification tool, generic linear constraints (GLC), as a way to manage the computational complexity of the SLAM system as the robot accumulates information across multiple sessions. We show results for 20 SLAM sessions for two large vessels over the course of days, months, and even up to three years, with a total path length of approximately 10.2 km.

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“…The amplitude of the reflected echoes and the time of its occurrence are used to interrogate the internal states of the materials. In particular, this pulse-echo configuration is suitable for in-situ, intermediate, and overhaul maintenance via manual and automated procedures [7][8][9][10][11][12] and has become one of the most widely used configurations for product inspection, structural health monitoring, and safety assurance [13][14][15]. A phased array transducer has a group of individually controllable actuators, allowing for electronically steering the beam direction and adjusting the depth of the focus [16].…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic Flaw Recognition by Multi-Angle Phased Array Data Integration

Zhang

Wang

Guan

2020

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

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Abstract This study presents a method of ultrasonic flaw identification using phased array ultrasonic inspection data. Raw data from each individual channel of the phased array ultrasonic inspection are obtained. The data trimming and de-noising are employed to retain the data within the boundary of the inspected object and remove the speckle noise components from the raw data, respectively. The resulting data are passed into a sequence of signal processing operations to identify embedded flaws. A shape-based filtering method is proposed to reduce the intensity of geometric noise components due to the non-uniform microstructures introduced in the manufacturing process. The resulting data matrices are integrated to obtain the intensity matrix of the possible flaw regions. Thresholding is applied to the intensity matrix to obtain the potential flaw regions, followed by a connected component analysis to identify the flaws. The overall method is demonstrated and validated using realistic phased array experimental data.

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On the reliability of an automated ultrasonic system for hull inspection in ship-based oil production units

Cited by 25 publications

References 1 publication

Structural Health Monitoring (SHM) and Determination of Surface Defects in Large Metallic Structures using Ultrasonic Guided Waves

Structural Health Monitoring (SHM) and Determination of Surface Defects in Large Metallic Structures using Ultrasonic Guided Waves

Long‐term Mapping Techniques for Ship Hull Inspection and Surveillance using an Autonomous Underwater Vehicle

Ultrasonic Flaw Recognition by Multi-Angle Phased Array Data Integration

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