王继新论文成果 - 半岛官网PG

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王继新

(教授)

学位：博士
性别：男
毕业院校：吉林大学
学历：博士研究生毕业
在职信息：在职
所在单位：机械与航空航天工程学院

论文成果

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Data-physics hybrid-driven external forces estimation method on excavators. Mechanical Systems and Signal Processing,223
Physics-informed neutral network with physically consistent and residual learning for excavator precision operation control. Applied Soft Computing,167
Bionic Multi-Legged Robots with Flexible Bodies: Design, Motion, and Control. Biomimetics,9 (10)
Data augmentation aided excavator activity recognition using deep convolutional conditional generative adversarial networks. Advanced Engineering Informatics,62
Privilege-guided knowledge distillation for edge deployment in excavator activity recognition. Automation in Construction,166
Rotating machinery fault diagnosis based on parameter-optimized variational mode decomposition. Digital Signal Processing: A Review Journal,153
Traversability Analysis and Path Planning for Autonomous Wheeled Vehicles on Rigid Terrains. Drones,8 (9)
Hybrid-driven autonomous excavator trajectory generation combining empirical driver skills and optimization. Automation in Construction,165
Optimization design of main hinge joint structure based on weld failure analysis. Engineering Failure Analysis,163
A novel multi-sensor hybrid fusion framework. Measurement Science and Technology,35 (8)
Exploring Antarctic subglacial lakes with RECoverable Autonomous Sonde (RECAS): Design and first field tests. Science China Technological Sciences,67 (6):1866 - 1878
A double load spectrum extrapolation for drill pipe of rotary drilling rig considering load sequence. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,238 (12)
Free-shape contour control for excavators based on cross-coupling and double error pre-compensation. Automation in Construction,160
Dual attention-based deep learning for construction equipment activity recognition considering transition activities and imbalanced dataset. Automation in Construction,160
An Improved Sparrow Search Algorithm for the Optimization of Variational Modal Decomposition Parameters. Applied Sciences (Switzerland),14 (5)
Task-unit based trajectory generation for excavators utilizing expert operator skills. Automation in Construction,158

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王继新

论文成果

Data-physics hybrid-driven external forces estimation method on excavators. Mechanical Systems and Signal Processing,223

Physics-informed neutral network with physically consistent and residual learning for excavator precision operation control. Applied Soft Computing,167

Bionic Multi-Legged Robots with Flexible Bodies: Design, Motion, and Control. Biomimetics,9 (10)

Data augmentation aided excavator activity recognition using deep convolutional conditional generative adversarial networks. Advanced Engineering Informatics,62

Privilege-guided knowledge distillation for edge deployment in excavator activity recognition. Automation in Construction,166

Rotating machinery fault diagnosis based on parameter-optimized variational mode decomposition. Digital Signal Processing: A Review Journal,153

Traversability Analysis and Path Planning for Autonomous Wheeled Vehicles on Rigid Terrains. Drones,8 (9)

Hybrid-driven autonomous excavator trajectory generation combining empirical driver skills and optimization. Automation in Construction,165

Optimization design of main hinge joint structure based on weld failure analysis. Engineering Failure Analysis,163

A novel multi-sensor hybrid fusion framework. Measurement Science and Technology,35 (8)

Exploring Antarctic subglacial lakes with RECoverable Autonomous Sonde (RECAS): Design and first field tests. Science China Technological Sciences,67 (6):1866 - 1878

A double load spectrum extrapolation for drill pipe of rotary drilling rig considering load sequence. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,238 (12)

Free-shape contour control for excavators based on cross-coupling and double error pre-compensation. Automation in Construction,160

Dual attention-based deep learning for construction equipment activity recognition considering transition activities and imbalanced dataset. Automation in Construction,160

An Improved Sparrow Search Algorithm for the Optimization of Variational Modal Decomposition Parameters. Applied Sciences (Switzerland),14 (5)

Task-unit based trajectory generation for excavators utilizing expert operator skills. Automation in Construction,158