Intelligent prediction for digging load of hydraulic excavators based on RBF neural network

D Huo, J Chen, H Zhang, Y Shi, T Wang - Measurement, 2023 - Elsevier
Traditional modeling methods for digging load of excavators are often computationally
expensive and require prior knowledge of soil parameters, which severely limits their …

Digital twin-based excavation trajectory generation of Uncrewed excavators for autonomous mining

T Fu, T Zhang, Y Lv, X Song, G Li, H Yue - Automation in Construction, 2023 - Elsevier
As modern large-capacity excavators, cable shovels provide payload capacities of more
than 100-tons per scoop. The presence of a high dynamic payload combined with the self …

Shovel-loading cooperative control of loader under typical working conditions

B Cao, C Liu, W Chen, P Tan, J Yang - ISA transactions, 2023 - Elsevier
The difference in power demand and the driver's operation in various operation stages make
the loader have the problem of low energy utilization. Changeable operating objects and …

Chaos-based support vector regression for load power forecasting of excavators

D Huo, J Chen, T Wang - Expert Systems with Applications, 2024 - Elsevier
The accurate prediction of digging load serves as a fundamental cornerstone for advancing
the development of intelligent and unmanned excavators. Given the complex nonlinear …

Electrohydraulic proportional position and pressure loading control utilizing a state perception and processing method

J Gu, C Shen, C Zhang, H Wu, D Wei, L Si, Z Wang - ISA transactions, 2023 - Elsevier
A new multifunctional proportional control triaxial stress loading apparatus is presented in
this study, which can apply an output force on coal rock to simulate the conditions of triaxial …

Application of physics-informed machine learning for excavator working resistance modeling

S Li, S Wang, X Chen, G Zhou, B Wu, L Hou - Mechanical Systems and …, 2024 - Elsevier
Accurate measurement of the working resistance encountered during excavation plays a
vital role in improving production efficiency, reducing energy consumption, and enabling …

Numerical simulation of operations of hydraulic excavators for polydisperse bulk materials and different configurated buckets

B Liu, J Gan, J Xu, D Ellis, R Zou, A Yu… - Automation in Construction, 2024 - Elsevier
Excavators have been used in construction for a century, and simulation-based performance
prediction is cost-effective for equipment design. In practice, particle size varies, and it is of …

Enhancing Sustainable Afforestation through Innovative Earth Auger Design: A Simulation Study in Hilly Regions

G Wang, W Zhang, M Chen, M Ji, X Diao, H Miao - Sustainability, 2024 - mdpi.com
The objective of this study was to advance sustainable forestry development through the
creation of mechanical equipment, taking into account forestry operational methods. A …

Multi-sensor data fusion and deep learning-based prediction of excavator bucket fill rates

S Li, G Zhou, S Wang, X Jia, L Hou - Automation in Construction, 2025 - Elsevier
Accurately predicting the bucket fill rate of excavators is a challenging task due to factors
such as material flowability and the complex coupling interactions between the material and …

[HTML][HTML] Database-driven model predictive control system for online adaptation of an autonomous excavator to environmental conditions

T Okada, T Yamamoto, T Doi, K Koiwai… - Control Engineering …, 2024 - Elsevier
This paper presents the design of a database-driven model predictive control (DD-MPC)
system for the online adaptation of autonomous excavators to environmental conditions …