What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Mechanical engineering
Zhike Peng focuses on Algorithm, Vibration, Nonlinear system, Control theory and Electronic engineering.
His biological study spans a wide range of topics, including Instantaneous phase, Signal, Signal processing, Time–frequency analysis and Frequency domain.
His Vibration research incorporates elements of Structural engineering, Stiffness, Mechanics and Rotor.
His Nonlinear system study combines topics in areas such as Mechanical system, Instability, Transmissibility, Vibration isolation and Frequency response.
His Control theory study combines topics from a wide range of disciplines, such as Saddle point, Resonance and Mathematical analysis.
In his work, Daubechies wavelet, Stationary wavelet transform, Second-generation wavelet transform and Discrete wavelet transform is strongly intertwined with Filter, which is a subfield of Electronic engineering.
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)
- An improved Hilbert Huang transform and its application in vibration signal analysis (345 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Vibration, Nonlinear system, Control theory, Algorithm and Fault.
His studies deal with areas such as Structural engineering, Finite element method, Mechanics and Rotor as well as Vibration.
His Nonlinear system research integrates issues from Frequency response, Frequency domain, Vibration isolation and Applied mathematics.
He combines subjects such as Position and Fault detection and isolation with his study of Control theory.
His Algorithm research incorporates elements of Instantaneous phase, Signal, Signal processing, Time–frequency analysis and Chirp.
His biological study spans a wide range of topics, including Harmonics, Artificial intelligence, Bearing and Condition monitoring.
He most often published in these fields:
- Vibration (28.82%)
- Nonlinear system (25.69%)
- Control theory (24.31%)
What were the highlights of his more recent work (between 2019-2021)?
- Vibration (28.82%)
- Algorithm (19.79%)
- Acoustics (12.50%)
In recent papers he was focusing on the following fields of study:
His main research concerns Vibration, Algorithm, Acoustics, Fault and Signal.
His study in Vibration is interdisciplinary in nature, drawing from both Structural engineering, Resonator, Rotor and Time–frequency analysis.
His work carried out in the field of Algorithm brings together such families of science as Rolling-element bearing, Signal processing, Entropy, Instantaneous phase and Kurtosis.
The various areas that Zhike Peng examines in his Fault study include Noise, Frequency modulation, Condition monitoring, Artificial intelligence and Bearing.
The study incorporates disciplines such as Chirp, Pattern recognition and Nonlinear system in addition to Noise.
Zhike Peng interconnects Underwater acoustics, Envelope, Harmonics and Frequency domain in the investigation of issues within Signal.
Between 2019 and 2021, his most popular works were:
- The sum of weighted normalized square envelope: A unified framework for kurtosis, negative entropy, Gini index and smoothness index for machine health monitoring (21 citations)
- Fault diagnosis of planetary gearbox under variable-speed conditions using an improved adaptive chirp mode decomposition (13 citations)
- Rub-Impact Fault Diagnosis of Rotating Machinery Based on 1-D Convolutional Neural Networks (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Thermodynamics
Zhike Peng mainly focuses on Vibration, Algorithm, Wind power, Metamaterial and Vibration isolation.
His Vibration study incorporates themes from Fault, Fault detection and isolation and Convolutional neural network.
His work in the fields of Abstract machine overlaps with other areas such as Monitoring data.
His Wind power study also includes
- Marine engineering which intersects with area such as Natural frequency, Coupling, Foundation and Fiber Bragg grating,
- Aerodynamics together with Lift, Control theory, Rotor, Lift coefficient and Turbine.
He focuses mostly in the field of Metamaterial, narrowing it down to matters related to Resonator and, in some cases, Band gap, Bandwidth and Broadband.
He has researched Vibration isolation in several fields, including Linear system, Isolator and Torsion, Structural engineering, Stiffness.
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