Most Downloaded Articles

Open access

ISSN: 1000-9345
CN: 11-2737/TH
e-ISSN: 2192-8258

Large models for machinery fault diagnosis: Current advances and future directions

Machinery fault diagnosis (MFD) is critical for the intelligent operation and maintenance of advanced equipment, contributing to enhanced safety, improved efficiency and reduced operating costs. Early...

A review of cyber-physical security for intelligent connected vehicles

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

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...

Geomagnetic-field-based positioning and navigation technologies: A review of applications in intelligent and mechanical equipment

Geomagnetic field–based positioning and navigation technologies have gradually evolved into an important alternative to satellite navigation, particularly for mechanical equipment and engineering systems...

Recent progress and challenges of key technologies in robotic assembly

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...

Dynamic performance improvement of high-speed on/off valve based on pre-excitation bootstrap control

High-speed on/off valve (HSV) is the core control component of digital hydraulic system (DHS), its dynamic performance determines the response speed and control accuracy of DHS. Initial current and...

Development of a real-time posture feedback system with integrated human motion prediction for proactive intervention in work-related musculoskeletal disorders

With the advancement of human-centric smart manufacturing toward Industry 5.0, the assessment and mitigation of work-related musculoskeletal disorder (WMSD) risks have become a critical issue in industrial...

A Comprehensive Review on Passive RFID Sensors for Structural Health Monitoring: Developments, Challenges, and Opportunities

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,...

Knowledge extraction and retrieval-augmented generation for intelligent maintenance of wind power equipment based on graph attention networks

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...

Advancements and theoretical foundations of cable-driven parallel robots: A comprehensive overview

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...

Optimization of knowledge graph search methods enabled by large language models with applications to fault diagnosis of electromechanical systems

Under the trend of industrial intelligence upgrading, electromechanical systems serve as a crucial component for ensuring the normal operation of equipment. The accuracy of fault diagnosis directly...

An integration of BCI and vision system for Robotics applications: a review

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

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,...

Fault inference diagnosis based on causal network and large language model-enhanced knowledge graph network

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...

Design and meshing characteristics analysis of a harmonic drive three-dimensional tooth profile based on addendum modification

Existing research on harmonic drive gears mainly focuses on two-dimensional tooth profile design and simple modification along the tooth direction. Three-dimensional redesign of the tooth profile can...

Road surface status recognition and estimation: State-of-the-art review and research perspectives

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...

Embodied Digital Twin Driven Human-Centric Collaborative Robot Behavior: Cognitive Inference of Action Strategies

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...

XJTU-DV: Open-source dynamic vision dataset for non-contact vibration measurement and fault diagnosis of mechanical systems

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...

Effect of alloying elements on the characteristics of metallic biodegradable materials: A review

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...

Modeling the Dynamics of Material Removal in Chemical Mechanical Polishing: A Review

Chemical mechanical polishing (CMP) is a critical process in precision manufacturing, providing the planarization and defect control essential for applications in semiconductors, optics, advanced materials,...

Adaptive equidistant robot path planning on complex freeform surface based on 3D point cloud and least-squares conformal mapping

In complex freeform surface machining, such as aircraft skin grinding and engine blade processing, equidistant robot path planning is challenged by low efficiency and strong curvature influence on path...

An LLM-based framework for state of health estimation of lithium-ion batteries

Accurate state of health (SOH) estimation is essential for ensuring the reliability and safety of lithium-ion batteries. However, existing methods often suffer from complex modeling requirements and...

Autonomous driving scenario generation based on neural radiance fields or 3D Gaussian splatting: State-of-the-art investigations, reviews, and perspectives

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...

Opening torque of a butterfly vent valve considering pollution particle intrusion

A surge is an unstable flow characterized by airflow interruption in a compression system that seriously affects the performance of the entire compression system, including the compressor. A butterfly...

Numerical and experimental study on the influence of piston combined motion on churning losses in axial piston pumps

As the speed of the axial piston pump increases, the energy loss due to the fluid agitation by the piston increases sharply. This energy loss caused by fluid friction, called churning loss, impedes...

Stay Informed

Register your interest and receive email alerts tailored to your needs. Sign up below.