What is he best known for?
The fields of study he is best known for:
- Mechanical engineering
- Artificial intelligence
- Statistics
Xinping Yan focuses on Fault detection and isolation, Operations research, Transport engineering, Fault and Collision.
The Fault detection and isolation study combines topics in areas such as Independent component analysis, Feature vector, Diesel engine, Simulation and Electronic engineering.
His Operations research study incorporates themes from Port, Accident, Bayesian network and Process.
His research integrates issues of Control and Risk assessment in his study of Transport engineering.
Xinping Yan combines subjects such as Control engineering, Noise, Vibration and Blind signal separation with his study of Fault.
His research investigates the connection between Wavelet and topics such as Tribology that intersect with issues in Lubrication.
His most cited work include:
- Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River (140 citations)
- Fault Detection in a Diesel Engine by Analysing the Instantaneous Angular Speed (112 citations)
- Virtual prototype and experimental research on gear multi-fault diagnosis using wavelet-autoregressive model and principal component analysis method (103 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Marine engineering, Transport engineering, Automotive engineering, Operations research and Vibration.
His Marine engineering study combines topics from a wide range of disciplines, such as Propulsion, Efficient energy use and Finite element method.
He does research in Transport engineering, focusing on Traffic flow specifically.
As part of his studies on Operations research, he often connects relevant subjects like Bayesian network.
His work carried out in the field of Vibration brings together such families of science as Propeller and Structural engineering.
His Structural engineering research also works with subjects such as
- Thrust which intersects with area such as Lubrication,
- Composite material most often made with reference to Bearing.
He most often published in these fields:
- Marine engineering (14.33%)
- Transport engineering (9.92%)
- Automotive engineering (9.09%)
What were the highlights of his more recent work (between 2017-2021)?
- Bayesian network (5.23%)
- Composite material (7.71%)
- Collision (4.41%)
In recent papers he was focusing on the following fields of study:
Xinping Yan mostly deals with Bayesian network, Composite material, Collision, Mechanics and Lubrication.
Xinping Yan interconnects Risk analysis and Operations research in the investigation of issues within Bayesian network.
His Operations research research integrates issues from Mutual information, Kernel and Risk assessment.
His research in Composite material is mostly focused on Tribology.
His Collision risk study in the realm of Collision connects with subjects such as Yangtze river.
His Lubrication research is multidisciplinary, relying on both Thrust bearing and Bearing.
Between 2017 and 2021, his most popular works were:
- Resilience in transportation systems: a systematic review and future directions (70 citations)
- Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters (68 citations)
- Incorporating evidential reasoning and TOPSIS into group decision-making under uncertainty for handling ship without command (58 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Artificial intelligence
- Statistics
His primary areas of investigation include Operations research, Efficient energy use, Collision, Collision risk and Fuzzy logic.
He has included themes like Preference, Kernel and Risk assessment in his Operations research study.
His Efficient energy use research includes elements of Energy conservation, Marine engineering, Hull, Wind speed and Particle swarm optimization.
His research in Marine engineering tackles topics such as Tribology which are related to areas like Diesel engine.
His Collision risk research incorporates themes from Fuzzy set, Sea ice, Control engineering, Decision support system and Trajectory.
Xinping Yan has researched Fuzzy logic in several fields, including Decision tree, Representation and Bayesian network.
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