Her main research concerns Eddy current, Acoustics, Artificial neural network, Eddy-current testing and Finite element method. Her Eddy current study incorporates themes from Image processing, Electrical impedance, Structural engineering and Optics. Her study in Acoustics is interdisciplinary in nature, drawing from both Perpendicular, Rivet, Magnetoresistance, Corrosion and Aluminium.
Her work carried out in the field of Artificial neural network brings together such families of science as Algorithm, Wavelet, Inverse problem and Signal processing. Lalita Udpa has researched Eddy-current testing in several fields, including Nuclear magnetic resonance and Electromagnetic coil. She works mostly in the field of Finite element method, limiting it down to concerns involving Computer simulation and, occasionally, Canalisation and Airframe.
Lalita Udpa focuses on Eddy current, Acoustics, Electronic engineering, Finite element method and Eddy-current testing. The various areas that Lalita Udpa examines in her Eddy current study include Rotating magnetic field, Boiler, Fastener and Electromagnetic coil. Her Acoustics research includes elements of Structural engineering, Signal, Excitation and Magnetic flux leakage.
Her research in Magnetic flux leakage intersects with topics in Artificial neural network, Magnetic flux, Pipeline and Wavelet. Her work in Electronic engineering addresses issues such as Signal processing, which are connected to fields such as Artificial intelligence. Her research integrates issues of Algorithm and Inverse problem in her study of Finite element method.
Her primary areas of investigation include Acoustics, Eddy current, Eddy-current testing, Composite material and Optics. Her studies in Acoustics integrate themes in fields like Sensitivity, Structural engineering, Signal, Electrical engineering and Electronic engineering. Her Eddy current study integrates concerns from other disciplines, such as Finite element method, Magnetoresistance, Excitation, Electromagnetic coil and Fastener.
Her research in Electromagnetic coil tackles topics such as Rotating magnetic field which are related to areas like Voltage and Nuclear magnetic resonance. The study incorporates disciplines such as Inverse problem, Geometry, Applied mathematics, Algorithm and Monotonic function in addition to Eddy-current testing. Her Optics research is multidisciplinary, relying on both Time reversal signal processing, Microwave imaging, Iterative reconstruction and Antenna.
Lalita Udpa mainly investigates Acoustics, Eddy current, Optics, Microwave imaging and Electronic engineering. Her biological study spans a wide range of topics, including Composite number, Structural engineering, Parametric statistics and Near and far field. The concepts of her Eddy current study are interwoven with issues in Shape optimization, Finite element method, Excitation, Electromagnetic coil and Fastener.
Within one scientific family, Lalita Udpa focuses on topics pertaining to Antenna under Optics, and may sometimes address concerns connected to Phase. Her Electronic engineering research includes themes of Time domain, Eddy-current testing, Waveform, Applied mathematics and Monotonic function. Her Eddy-current testing study combines topics in areas such as Iterative method, Mechanics, Linear combination and Exponential function.
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Electromagnetic NDE signal inversion by function-approximation neural networks
P. Ramuhalli;L. Udpa;S.S. Udpa.
IEEE Transactions on Magnetics (2002)
Pulsed Eddy-Current Based Giant Magnetoresistive System for the Inspection of Aircraft Structures
Guang Yang;A. Tamburrino;L. Udpa;S.S. Udpa.
IEEE Transactions on Magnetics (2010)
Adaptive Wavelets for Characterizing Magnetic Flux Leakage Signals From Pipeline Inspection
A.V. Joshi;L. Udpa;S. Udpa;A. Tamburrino.
ieee international magnetics conference (2006)
Frequency invariant classification of ultrasonic weld inspection signals
R. Polikar;L. Udpa;S.S. Udpa;T. Taylor.
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (1998)
Three-dimensional defect reconstruction from eddy-current NDE signals using a genetic local search algorithm
Yue Li;L. Udpa;S.S. Udpa.
IEEE Transactions on Magnetics (2004)
Eddy current defect characterization using neural networks
L. Udpa;S. S. Udpa.
Materials evaluation (1990)
Invariance transformations for magnetic flux leakage signals
S. Mandayam;L. Udpa;S.S. Udpa;W. Lord.
IEEE Transactions on Magnetics (1996)
Characterization of gas pipeline inspection signals using wavelet basis function neural networks
K. Hwang;S. Mandayam;S.S. Udpa;L. Udpa.
Ndt & E International (2000)
Neural networks for the classification of nondestructive evaluation signals
L. Udpa;S.S. Udpa.
IEE Proceedings F Radar and Signal Processing (1991)
Neural network-based inversion algorithms in magnetic flux leakage nondestructive evaluation
Pradeep Ramuhalli;Lalita Udpa;Satish S. Udpa.
Journal of Applied Physics (2003)
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