A Comprehensive Review on Passive RFID Sensors for Structural Health Monitoring: Developments, Challenges, and Opportunities
Available online 14 October 2025
In this paper, a detailed review of passive RFID sensors for structural health monitoring applications, i.e., crack quantification, strain deformation, and corrosion detection for metallic materials,...
Recent progress and challenges of key technologies in robotic assembly
January 2026
How to substitute the human operator with a robot in various assembly tasks has to be taken into full consideration in intelligent manufacturing. Autonomous robotic assembly not only brings with high...
A Review of Cyber-Physical Security for Intelligent Connected Vehicles
Available online 3 December 2025
Intelligent connected vehicles (ICVs) integrate advanced communication, sensing, and computing technologies to significantly enhance traffic efficiency, safety, and driving experience. However, its...
Review on Reliability Technology for High-end CNC Machine Tools: Overview and Prospect
Available online 29 November 2025
After several years of research on the reliability of CNC machine tools, many theories and technologies have been developed, which have improved the reliability level of economical CNC machine tools...
An integration of BCI and vision system for Robotics applications: a review
Available online 10 December 2025
With the rapid advancement of human–robot interaction technologies, the integration of electroencephalogram (EEG)–based brain–computer interface (BCI) systems with computer vision (CV) has become an...
Advanced forming technologies for integrated metal components with extreme size and structure: State-of-the-art and perspectives
January 2026
In aerospace, nuclear power, and new energy vehicles industries, utilizing integrated metal components with extreme sizes and/or structures is crucial for achieving significant weight-saving, performance-improvement,...
Autonomous driving scenario generation based on neural radiance fields or 3D Gaussian splatting: State-of-the-art investigations, reviews, and perspectives
January 2026
Reconstruction of autonomous driving scenarios plays a pivotal role in vehicle testing. In recent years, approaches based on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3D GS) have opened...
XJTU-DV: Open-source dynamic vision dataset for non-contact vibration measurement and fault diagnosis of mechanical systems
January 2026
Vibration measurement is of great importance for fault diagnosis and prognosis of mechanical systems in the literature. Non-contact vibration measurement methods have been attracting growing attention...
LMPHM: Fault Inference Diagnosis Based on Causal Network and Large Language Model-Enhanced Knowledge Graph Network
Available online 21 November 2025
Current research in mechanical fault inference diagnosis primarily relies on knowledge graph networks (KGN) for reasoning. Compared to traditional diagnostic methods, KGN offers advantages in knowledge...
Effect of alloying elements on the characteristics of metallic biodegradable materials: A review
January 2026
Biomedical applications necessitate natural or synthetic biomaterials that can maintain, improve, or even replace damaged tissue or a biological function, facilitating healing for people who have suffered...
Novel Bearing Fault Diagnosis Model for Wind Turbine: PSR-CNN-DLSTM Combined with Transfer Learning
Available online 20 December 2025
Wind turbine bearings operate in harsh environments, which can complicate fault diagnosis due to the strong nonlinearity of vibration signals and imbalance data. To tackle these challenges, we propose...
Knowledge extraction and retrieval-augmented generation for intelligent maintenance of wind power equipment based on graph attention networks
Available online 31 October 2025
The adoption of deep learning in intelligent operation and maintenance of wind turbines has improved fault detection and classification accuracy. However, most existing studies focus primarily on the...
Lithium-ion Battery Simulation Optimization and Lifetime Prediction
Available online 1 October 2025
The rapid development of battery technologies necessitates substantial time and effort to conduct experiments and obtain cell characteristics. To address this challenge, this paper develops an electrochemical-thermal...
Road Surface Status Recognition and Estimation: State-of-the-art Review and Research Perspectives
Available online 24 November 2025
Accurate recognition and estimation of road state in real-time is an important prerequisite for vehicle driving safety, transient handling stability, ride comfort, and other performance. In order to...
Digital twin‐based error motion monitoring and prediction method for aerostatic spindle
January 2026
The aerostatic spindle is a key component of ultra-precision machine tools, and its error motion is crucial to machining accuracy and reliability. Spindle error motion is unavoidable, and its online...
Embodied Digital Twin Driven Human-Centric Collaborative Robot Behavior: Cognitive Inference of Action Strategies
Available online 22 November 2025
Collaborative robot interacting autonomously with human operators through flexible behavioral strategies poses a significant challenge. The lack of sufficient attention to the status of human operators...
Modeling and simulation research on the semi elliptical grinding area and temperature field of rail abrasive belt grinding
January 2026
During the process of rail grinding, the local high temperature generated in the grinding contact area can affect the physical properties of the rail, thereby affecting its service performance. Therefore,...
A precise identification-based mode decomposition and its application in mechanical fault diagnosis
January 2026
Current improved Empirical Mode Decomposition (EMD) methods enhance the accurate identification of peak and valley points in mechanical signals through noise-assisted filtering techniques, thereby improving...
Optimization, Design and Experiment of Knee Joint Mechanism for Hydraulic Bipedal Robot
Available online 4 October 2025
Hydraulically actuated bipedal robots offer good dynamic locomotion capabilities but face critical challenges in knee joint design, requiring a careful balance between torque output, load-bearing capacity,...
Advancements and Theoretical Foundations of Cable-Driven Parallel Robots: A Comprehensive Overview
Available online 27 October 2025
Parallel robotic mechanisms using cables instead of rigid limbs are termed cable-driven parallel robots (CDPRs). Electric motors and pulley mechanisms actuate cables to provide motion for an end-effector...
Quasi-zero stiffness vibration isolator with variable stiffness and variable damping for ultralow-frequency vibration under variable mass load
Available online 9 November 2025
A quasi-zero-stiffness (QZS) vibration isolation system presents the characteristics of high-static-low-dynamic, which can effectively isolate ultralow-frequency vibrations. However, most QZS vibration...
Design and mechanical characterization of discretely assembled mechanical metamaterials for macroscale applications
January 2026
Manufacturing large-scale mechanical metamaterials (MMs) is extremely challenging owing to the limitations of machining technology and equipment. This study proposes a family of discretely assembled...
Dynamic behavior of track (rack)-bridge system under running vehicle and temperature load in rack railway
January 2026
Significant diurnal temperature variations in mountainous rack railways cause stiffness mismatches between the rack structure and simply supported bridges, leading to critical failures like bolt loosening...
Multi-agent systems for digital twin shop-floor resilient control
Available online 21 December 2025
Digital twin (DT) shop-floors represent a critical enabler for smart manufacturing. Leveraging the core mechanism of virtual-real interaction, DT shop-floors (DTS) demonstrate exceptional capabilities...
Carbon Footprint Estimation and Carbon Data Validation in the Manufacturing Phase of Electromechanical Products
Available online 11 November 2025
The credibility of product carbon footprint estimates is closely related to the validity of carbon data, both of which are essential for sustainable industrial manufacturing. To address the challenges...