What is he best known for?
The fields of study he is best known for:
- Mechanical engineering
- Artificial intelligence
- Electrical engineering
His scientific interests lie mostly in Vibration, Signal processing, Algorithm, Wavelet and Wavelet transform.
His study in Vibration is interdisciplinary in nature, drawing from both Mathematical analysis, Boundary value problem, Control theory, Shell and Mechanics.
His work deals with themes such as Energy and Artificial intelligence, which intersect with Signal processing.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Fault, Genetic algorithm and Particle swarm optimization.
His study explores the link between Algorithm and topics such as Electronic engineering that cross with problems in Filter, Instantaneous phase and Time–frequency analysis.
His Wavelet study improves the overall literature in Pattern recognition.
His most cited work include:
- Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography (850 citations)
- A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing (582 citations)
- Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples (475 citations)
What are the main themes of his work throughout his whole career to date?
Vibration, Structural engineering, Mechanics, Fault and Rotor are his primary areas of study.
His Vibration research incorporates elements of Boundary value problem and Control theory, Condition monitoring, Nonlinear system.
While the research belongs to areas of Mechanics, Fulei Chu spends his time largely on the problem of Shell, intersecting his research to questions surrounding Rotation.
His research integrates issues of Turbine, Pattern recognition, Bearing and Artificial intelligence in his study of Fault.
His Artificial intelligence study frequently draws parallels with other fields, such as Signal processing.
His Rotor study integrates concerns from other disciplines, such as Harmonic balance, Rubbing, Stator and Eccentricity.
He most often published in these fields:
- Vibration (34.28%)
- Structural engineering (27.56%)
- Mechanics (19.79%)
What were the highlights of his more recent work (between 2018-2021)?
- Vibration (34.28%)
- Fault (19.08%)
- Mechanics (19.79%)
In recent papers he was focusing on the following fields of study:
Fulei Chu mainly focuses on Vibration, Fault, Mechanics, Bearing and Composite material.
His biological study spans a wide range of topics, including Reduction, Boundary value problem, Nonlinear system, Equations of motion and Magnetostriction.
His Fault research includes themes of Demodulation, Sparse approximation, Artificial intelligence and Data mining.
His Mechanics research includes themes of Equivalent circuit, Harmonics, Stator, Fluid bearing and Raceway.
His Stator research is multidisciplinary, incorporating elements of Air gap, Spall, Electric motor and Helicopter rotor, Rotor.
His work carried out in the field of Bearing brings together such families of science as Ball, Phase noise, Convolutional neural network, Kurtosis and Condition monitoring.
Between 2018 and 2021, his most popular works were:
- Free vibration analysis of rotating functionally graded CNT reinforced composite cylindrical shells with arbitrary boundary conditions (110 citations)
- Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review (102 citations)
- HVSRMS localization formula and localization law: Localization diagnosis of a ball bearing outer ring fault (67 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Artificial intelligence
- Electrical engineering
Fulei Chu focuses on Nanocomposite, Composite material, Carbon nanotube, Boundary value problem and Vibration.
Fulei Chu has included themes like Heat transfer, Engineering physics and Thermoelastic damping in his Nanocomposite study.
His study looks at the intersection of Boundary value problem and topics like Shell with Mechanics, Rotation, Stiffness, Boundary and Equations of motion.
His Stiffness study combines topics from a wide range of disciplines, such as Displacement and Mathematical analysis, Orthogonal polynomials.
His Vibration study deals with Hilbert transform intersecting with Fault.
He combines subjects such as Deep belief network, Deep learning, Data mining and Rotor with his study of Fault.
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