PAUT-based defect detection method for submarine pressure hulls

Jung, Min-jae; Park, Byeong-Cheol; Bae, Ji‐Hoon; Shin, Sung‐Chul

doi:10.1016/j.ijnaoe.2017.06.002

Cited by 18 publications

(8 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The phased array sectorial scan makes it possible to scan areas with restricted access and also enables angles to be changed according to the geometry of the weld under inspection. Phased array systems allow inspection angles to be adjusted accurately and modified easily so as to obtain better response from defects [7].…”

Section: Previous Workmentioning

confidence: 99%

Characterization of Welding Discontinuities by Combined Phased Array Ultrasonic and Artificial Neural Network

Mazloum

Mahrous

Sadek

et al. 2019

Engineering Research Journal

View full text Add to dashboard Cite

Section: Previous Workmentioning

confidence: 99%

Characterization of Welding Discontinuities by Combined Phased Array Ultrasonic and Artificial Neural Network

Mazloum

Mahrous

Sadek

et al. 2019

Engineering Research Journal

View full text Add to dashboard Cite

Section: Previous Workmentioning

confidence: 99%

The Effect of Phased Array Parameters on the Detecting Accuracy of Welding Discontinuities and 3D Measurement

Mazloum

Mahrous

Sadek

et al. 2019

Engineering Research Journal

View full text Add to dashboard Cite

“…AUVs are developed to operate under extreme conditions, managing trajectories by themselves through the use of sensors and advanced algorithms [3,4]. Underwater operations are designed to survey large areas of the seafloor [5,6] and, therefore, accurate management of the operational parameters is essential to ensure a reliable measurement process and increase the efficiency of data analysis [7,8].…”

Section: Introductionmentioning

confidence: 99%

Autonomous Underwater Vehicles and Field of View in Underwater Operations

Ramírez

Sánchez

Papaelias

et al. 2021

JMSE

View full text Add to dashboard Cite

Submarine inspections and surveys require underwater vehicles to operate in deep waters efficiently, safely and reliably. Autonomous Underwater Vehicles employing advanced navigation and control systems present several advantages. Robust control algorithms and novel improvements in positioning and navigation are needed to optimize underwater operations. This paper proposes a new general formulation of this problem together with a basic approach for the management of deep underwater operations. This approach considers the field of view and the operational requirements as a fundamental input in the development of the trajectory in the autonomous guidance system. The constraints and involved variables are also defined, providing more accurate modelling compared with traditional formulations of the positioning system. Different case studies are presented based on commercial underwater cameras/sonars, analysing the influence of the main variables in the measurement process to obtain optimal resolution results. The application of this approach in autonomous underwater operations ensures suitable data acquisition processes according to the payload installed onboard.

show abstract

PAUT-based defect detection method for submarine pressure hulls

Cited by 18 publications

References 0 publications

Characterization of Welding Discontinuities by Combined Phased Array Ultrasonic and Artificial Neural Network

Characterization of Welding Discontinuities by Combined Phased Array Ultrasonic and Artificial Neural Network

The Effect of Phased Array Parameters on the Detecting Accuracy of Welding Discontinuities and 3D Measurement

Autonomous Underwater Vehicles and Field of View in Underwater Operations

Contact Info

Product

Resources

About