Electromagnetic Nondestructive Testing

• Format: eBook Book
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2024
• Subjects: aircraft long truss structure; aluminum pipe; applications; Applied mathematics; artificial neural network; battery-less; blowout preventer; brazing defect; carbon fiber-reinforced composites; compressed sensing; corrosion defect; crack detection; deep learning; defect; defect echo; differential eddy current probe; eddy current testing (ECT); eddy currents; excitation frequency; finite element analysis; finite element simulation; gasket ring groove; grinding burn; guided wave; hardened layer depth; hidden flaws detection; high speed; induction hardened layer; inverse problem; k-Nearest Neighbors (k-NN) algorithm; liftoff; magnetic Barkhausen noise; magnetic dipole model; magnetizer; Mathematics; Mathematics and Science; MFL; multifrequency excitation and spectrogram eddy current testing; NDT; near-field radiofrequency imaging; non-destructive testing; nondestructive evaluation (NDE); nondestructive testing; nondestructive testing (NDT); numerical simulations; pipe bend; PPM EMAT; pulsed eddy current; radio frequency identification; ram blowout preventer; remote field eddy current; sealing performance; sensor; sensor tags; stainless steel core panel; structural echo; structural health monitoring; structural health prognostics; top seal; ultrasonic phased array detection; wear defect
• ISBN: 9783725807741; 3725807736; 9783725807734; 3725807744
• DOI: 10.3390/books978-3-7258-0774-1

This reprint focuses on the latest electromagnetic nondestructive testing technology and its applications, including magnetic flux leakage testing, eddy current testing, remote field eddy current testing, pulsed eddy currents, magnetic Barkhausen noise testing, electromagnetic acoustic transducer testing, etc. With the development of electromagnetic nondestructive testing, defect quantification and 3D imaging have become possible. The subject of detection has been extended from macroscopic defects to microscopic stresses, covering the whole course of a failure. Special attention is given to the fusion of multiple methods, new feature extraction methods, and new signal processing methods with artificial intelligence.