What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Machine learning
His scientific interests lie mostly in Laser scanning vibrometry, Curvature, Cantilever, Wavelet transform and Structural engineering.
Geometry and Acoustics are fields of study that intersect with his Laser scanning vibrometry research.
His work is dedicated to discovering how Geometry, Differential operator are connected with Multiresolution analysis and other disciplines.
His Cantilever research incorporates themes from Normal mode, Vibration and Fractal dimension.
His studies in Normal mode integrate themes in fields like Fractal analysis, Focus, Optics and Sensitivity.
He combines subjects such as Dimension, Fractal, Structural health monitoring and Piezoelectric sensor with his study of Vibration.
His most cited work include:
- Identification of multiple damage in beams based on robust curvature mode shapes (89 citations)
- Identification of multiple damage in beams based on robust curvature mode shapes (89 citations)
- Damage identification for beams in noisy conditions based on Teager energy operator-wavelet transform modal curvature (79 citations)
What are the main themes of his work throughout his whole career to date?
Maosen Cao focuses on Acoustics, Vibration, Structural engineering, Laser scanning vibrometry and Normal mode.
His research in Vibration intersects with topics in Fractal dimension, Composite laminates, Deflection and Frequency domain.
His work in Structural engineering tackles topics such as Fractal which are related to areas like Piezoelectric sensor.
His Laser scanning vibrometry study overlaps with Curvature, Wavelet transform, Optics, Sensitivity and Wavelet.
His research integrates issues of Differential operator, Noise and Laplace operator in his study of Curvature.
His Normal mode study combines topics from a wide range of disciplines, such as Cantilever, Natural frequency, Delamination and Laser.
He most often published in these fields:
- Acoustics (32.54%)
- Vibration (42.06%)
- Structural engineering (37.30%)
What were the highlights of his more recent work (between 2019-2021)?
- Acoustics (32.54%)
- Delamination (15.87%)
- Vibration (42.06%)
In recent papers he was focusing on the following fields of study:
Maosen Cao spends much of his time researching Acoustics, Delamination, Vibration, Identification and Nonlinear system.
His Vibration study integrates concerns from other disciplines, such as Tension and Composite laminates, Finite element method.
His biological study spans a wide range of topics, including Variety, Engineering structures and Algorithm.
The Nonlinear system study combines topics in areas such as Beam and Fictitious force.
His Beam research incorporates elements of Cantilever and Position.
His Actuator study which covers Characterization that intersects with Normal mode.
Between 2019 and 2021, his most popular works were:
- Multiple damage detection in laminated composite beams by data fusion of Teager energy operator-wavelet transform mode shapes (13 citations)
- Singular energy component for identification of initial delamination in CFRP laminates through piezoelectric actuation and non-contact measurement (8 citations)
- Singular energy component for identification of initial delamination in CFRP laminates through piezoelectric actuation and non-contact measurement (8 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Machine learning
His primary areas of investigation include Delamination, Composite material, Normal mode, Vibration and Laser scanning vibrometry.
Maosen Cao focuses mostly in the field of Delamination, narrowing it down to topics relating to Actuator and, in certain cases, Carbon fiber reinforced polymer, Transducer, Curvature, Honeycomb and Sandwich panel.
His Composite material study combines topics in areas such as Non contact measurement and Identification.
His studies deal with areas such as Wavelet transform, Sensor fusion and Sensitivity as well as Normal mode.
His Vibration research is multidisciplinary, incorporating perspectives in Characterization, Structural engineering, Tension, Composite laminates and Noise.
His study looks at the intersection of Robustness and topics like Structural health monitoring with Feature, Wavelet packet decomposition and Benchmark.
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