2018
DOI: 10.1007/s00170-018-1753-z
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Bi-eddy current sensor based automated scanning system for thickness measurement of thick metallic plates

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Cited by 9 publications
(4 citation statements)
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“…is research aims to realize the automation, remote, and intelligence of laboratory video surveillance system and equipment operation and maintenance management, use of Internet technology and multisensor technology, reduce the pressure of manual maintenance and management laboratory equipment and system, and improve the efficiency and level of maintenance and management [13,14].…”
Section: Methodsmentioning
confidence: 99%
“…is research aims to realize the automation, remote, and intelligence of laboratory video surveillance system and equipment operation and maintenance management, use of Internet technology and multisensor technology, reduce the pressure of manual maintenance and management laboratory equipment and system, and improve the efficiency and level of maintenance and management [13,14].…”
Section: Methodsmentioning
confidence: 99%
“…Detection of cracks and voids in, for example, welded joints are made possible by inducing eddy currents in the target area and then either measuring the leakage flux [6,7] or detecting local deviations in the thermal response [8][9][10]. Eddy current sensors have also been used in other applications, such as detecting defects buried inside parts made with additive manufacturing [11] and as a method for automated measurement of the thickness of metallic plates [12]. For grinding processes, Barkhausen noise has been used to monitor the process and detect thermal damage [13].…”
Section: Introductionmentioning
confidence: 99%
“…Increasing the detection speed under the premise of ensuring the detection accuracy is an inevitable development direction of eddy current detection. To increase the detection speed, multiple detection coils can be used instead [15][16][17]. Literature [18] proposed a new detection scheme based on the flexible array eddy current sensor (FAECS), which can perform fast and efficient automatic online detection of the surface quality of steel balls.…”
Section: Introductionmentioning
confidence: 99%