What is he best known for?
The fields of study he is best known for:
- Mechanical engineering
- Structural engineering
- Electrical engineering
His main research concerns Structural engineering, Vibration, Stiffness, Condition monitoring and Finite element method.
Yimin Shao interconnects Impulse, Dynamic simulation and Impulse response in the investigation of issues within Structural engineering.
His Vibration study integrates concerns from other disciplines, such as Turbine, Non-circular gear, Ball bearing and Roller bearing.
He works mostly in the field of Stiffness, limiting it down to topics relating to Spur gear and, in certain cases, Fault.
In his study, Control engineering, Displacement and Rigid rotor is inextricably linked to Bearing, which falls within the broad field of Condition monitoring.
Yimin Shao has included themes like Cantilever, Curvature and Wavelet in his Finite element method study.
His most cited work include:
- Dynamic simulation of spur gear with tooth root crack propagating along tooth width and crack depth (246 citations)
- Mesh stiffness calculation of a spur gear pair with tooth profile modification and tooth root crack (205 citations)
- Dynamic modeling for rigid rotor bearing systems with a localized defect considering additional deformations at the sharp edges (132 citations)
What are the main themes of his work throughout his whole career to date?
Yimin Shao mainly investigates Structural engineering, Vibration, Fault, Stiffness and Bearing.
His studies deal with areas such as Dynamic simulation and Roller bearing as well as Structural engineering.
The concepts of his Vibration study are interwoven with issues in Ball, Mechanics, Excitation and Control theory.
His research in Fault intersects with topics in Electronic engineering, Signal, Noise and Feature extraction.
As a part of the same scientific study, Yimin Shao usually deals with the Stiffness, concentrating on Deformation and frequently concerns with Flexibility.
His Bearing study combines topics from a wide range of disciplines, such as Identification, Condition monitoring and Contact force.
He most often published in these fields:
- Structural engineering (53.55%)
- Vibration (51.61%)
- Fault (29.68%)
What were the highlights of his more recent work (between 2019-2021)?
- Fault (29.68%)
- Structural engineering (53.55%)
- Vibration (51.61%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Fault, Structural engineering, Vibration, Bearing and Artificial intelligence.
His work deals with themes such as Signal, Time–frequency analysis, Feature extraction and Identification, which intersect with Fault.
His work on Stiffness and Spur gear as part of general Structural engineering research is frequently linked to Surface, thereby connecting diverse disciplines of science.
The Stiffness study combines topics in areas such as Finite element method, Transmission system, Amplitude, Compression and Gear system.
His study in Vibration is interdisciplinary in nature, drawing from both Time domain, Control theory and Numerical analysis.
His Bearing research is multidisciplinary, relying on both Tracking and Computer vision.
Between 2019 and 2021, his most popular works were:
- Fault feature extraction of rotating machinery using a reweighted complete ensemble empirical mode decomposition with adaptive noise and demodulation analysis (37 citations)
- Multi-Scale Demodulation for Fault Diagnosis Based on a Weighted-EMD De-Noising Technique and Time–Frequency Envelope Analysis (6 citations)
- Planetary Gear Fault Diagnosis Based on An Instantaneous Angular Speed Measurement System with a Dual Detector Setup (3 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Electrical engineering
- Artificial intelligence
Yimin Shao mainly focuses on Fault, Feature extraction, Time–frequency analysis, Artificial intelligence and Pattern recognition.
His Fault research is multidisciplinary, incorporating elements of Acoustics, Dual detector and Finite element method.
His Feature extraction research incorporates elements of Bearing and Identification.
His Bearing research focuses on Cluster analysis and how it connects with Nonlinear dimensionality reduction.
His biological study spans a wide range of topics, including Demodulation and Feature.
His study in Process intersects with areas of studies such as Structural engineering, Root mean square, Signal, Compression and Stiffness.
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