Ultrasonic Non-Destructive Testing (NDT) Using Wireless Sensor Networks

Kouche, Ahmad El; Hassanein, Hossam S.

doi:10.1016/j.procs.2012.06.021

Cited by 30 publications

(10 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The conventional monitoring system incorporates sensors settled on the pipes and communicated through copper or fiber optical cables to central control with limited advantages [ 193 ]. Later, RFID (radio of requests) [ 194 , 195 ] and portable robot methods were implemented together with existing wireless applications [ 196 ]. The continuous advancement of Internet of Things (IoT) innovations can likewise help achieve completely effective management, where new IoT gadgets will collaborate to more readily handle the status of the appropriation organization [ 197 ].…”

Section: Data Managementmentioning

confidence: 99%

Pipeline In-Line Inspection Method, Instrumentation and Data Management

Qiu

Tian

Zeng

et al. 2021

Sensors

108

View full text Add to dashboard Cite

Pipelines play an important role in the national/international transportation of natural gas, petroleum products, and other energy resources. Pipelines are set up in different environments and consequently suffer various damage challenges, such as environmental electrochemical reaction, welding defects, and external force damage, etc. Defects like metal loss, pitting, and cracks destroy the pipeline’s integrity and cause serious safety issues. This should be prevented before it occurs to ensure the safe operation of the pipeline. In recent years, different non-destructive testing (NDT) methods have been developed for in-line pipeline inspection. These are magnetic flux leakage (MFL) testing, ultrasonic testing (UT), electromagnetic acoustic technology (EMAT), eddy current testing (EC). Single modality or different kinds of integrated NDT system named Pipeline Inspection Gauge (PIG) or un-piggable robotic inspection systems have been developed. Moreover, data management in conjunction with historic data for condition-based pipeline maintenance becomes important as well. In this study, various inspection methods in association with non-destructive testing are investigated. The state of the art of PIGs, un-piggable robots, as well as instrumental applications, are systematically compared. Furthermore, data models and management are utilized for defect quantification, classification, failure prediction and maintenance. Finally, the challenges, problems, and development trends of pipeline inspection as well as data management are derived and discussed.

show abstract

Section: Data Managementmentioning

confidence: 99%

Pipeline In-Line Inspection Method, Instrumentation and Data Management

Qiu

Tian

Zeng

et al. 2021

Sensors

108

View full text Add to dashboard Cite

show abstract

“…For a thorough description of the ultrasound sensor module system, please refer to [9]. Locating a fallen shovel-tooth in the field, prior to reaching crushers, is of utmost importance to the continuous mining operation.…”

Section: Low Power Ultrasound Sensor Modulementioning

confidence: 99%

Monitoring operational mining equipment using Sprouts Wireless Sensor Network platform

Kouche

Alma'aitah

Hassanein

et al. 2013

2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)

View full text Add to dashboard Cite

This paper discusses the application use of our WSN platform called Sprouts to monitor the current erosion conditions and retrieval of lost shovel-teeth in the Oil Sands mining operations of Ft. McMurray, Alberta, Canada. The modular architecture design of Sprouts allows us to customize the platform to monitor the thickness of shovel teeth and localize their position upon detachment. Utilizing our Sprouts plug-andplay protocol, we implement three sensor modules to monitor the thickness of the shovel tooth in operation using ultrasound waves, detect the event of a fallen shovel-tooth, and aid the retrieval of fallen shovel teeth using trilateration localization before they cause damage to crushers.

show abstract

“…The prospects of using wireless communication for technical diagnostics with known NDT methods are considered in [2][3]. Such communication finds many applications in industry, for example, monitoring products during their manufacture [4], a system for detecting and locating insulation damage of a power transformer [5].…”

Section: Introductionmentioning

confidence: 99%

Smartphone-Based Automated Non-Destructive Testing Devices

Petryk

Protasov

Galagan

et al. 2020

Prib. metody izmer.

View full text Add to dashboard Cite

Currently, non-destructive testing is an interdisciplinary field of science and technology that serves to ensure the safe functioning of complex technical systems in the face of multifactorial risks. In this regard, there is a need to consider new information technologies based on intellectual perception, recognition technology, and general network integration. The purpose of this work was to develop an ultrasonic flaw detector, which uses a smartphone to process the test results, as well as transfer them directly to an powerful information processing center, or to a cloud storage to share operational information with specialists from anywhere in the world.The proposed flaw detector consists of a sensor unit and a smartphone. The exchange of information between the sensor and the smartphone takes place using wireless networks that use "bluetooth" technology. To ensure the operation of the smartphone in the ultrasonic flaw detector mode, the smartphone has software installed that runs in the Android operating system and implements the proposed algorithm of the device, and can serve as a repeater for processing data over a considerable distance (up to hundreds and thousands of kilometers) if it necessary.The experimental data comparative analysis of the developed device with the Einstein-II flaw detector from Modsonic (India) and the TS-2028H+ flaw detector from Tru-Test (New Zealand) showed that the proposed device is not inferior to them in terms of such characteristics as the range of measured thicknesses, the relative error in determining the depth defect and the object thickness. When measuring small thicknesses from 5 to 10 mm, the proposed device even surpasses them, providing a relative measurement error of the order of 1 %, while analogues give this error within 2–3 %.

show abstract

Ultrasonic Non-Destructive Testing (NDT) Using Wireless Sensor Networks

Cited by 30 publications

References 4 publications

Pipeline In-Line Inspection Method, Instrumentation and Data Management

Pipeline In-Line Inspection Method, Instrumentation and Data Management

Monitoring operational mining equipment using Sprouts Wireless Sensor Network platform

Smartphone-Based Automated Non-Destructive Testing Devices

Contact Info

Product

Resources

About