Large models for machinery fault diagnosis: Current advances and future directions
December 2026
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...
Case-driven fault diagnosis with advanced hallucination mitigation in large language models: A way towards practical applications
December 2026
The integration of large model paradigms into industrial PHM fault diagnosis offers new potential for multi-source knowledge fusion and complex reasoning. However, hallucinations, including logical...
A review of cyber-physical security for intelligent connected vehicles
December 2026
Intelligent connected vehicles (ICVs) integrate advanced communication, sensing, and computing technologies to significantly enhance traffic efficiency, safety, and driving experience. However, its...
A comprehensive review of passive RFID sensors for structural health monitoring: Developments, challenges, and opportunities
December 2026
In this paper, a detailed review of passive RFID sensors for structural health monitoring applications—specifically, crack quantification, strain deformation, and corrosion detection in metallic materials—is...
Review on reliability technology for high-end CNC machine tools: Overview and prospect
December 2026
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
Available online 4 February 2026
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
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...
Advancements and theoretical foundations of cable-driven parallel robots: A comprehensive overview
December 2026
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...
Fault inference diagnosis based on causal network and large language model-enhanced knowledge graph network
December 2026
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...
Development of a real-time posture feedback system with integrated human motion prediction for proactive intervention in work-related musculoskeletal disorders
January 2026
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...
Modeling the dynamics of material removal in chemical mechanical polishing: A review
December 2026
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,...
Design and meshing characteristics analysis of a harmonic drive three-dimensional tooth profile based on addendum modification
December 2026
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...
Knowledge extraction and retrieval-augmented generation for intelligent maintenance of wind power equipment based on graph attention networks
December 2026
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...
Embodied Digital Twin driven human-centric collaborative robot behavior: Cognitive inference of action strategies
December 2026
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...
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,...
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...
Comprehensive Review of Experimental, Numerical, and Data Driven Algorithms for Hole Expansion Prediction in Advanced Metallic Materials
Available online 10 July 2026
The Hole Expansion Test (HET) and the associated Hole Expansion Ratio (HER) are widely used benchmarks for evaluating edge formability in sheet metal forming, particularly in applications involving...
Exploring prior-structured low-rank adaptation for predictive maintenance based on time series foundation model
December 2026
Predictive maintenance for industrial equipment is hampered by nonstationary dynamics and the scarcity of labeled data. In contrast, large foundation models offer the potential for universal sequence...
FM-LLM: A Lightweight Multimodal LLM with Simulation-Augmented Data for Mechanical Fault Diagnosis
Available online 2 June 2026
Industrial fault diagnosis is a key component of intelligent manufacturing systems. Diagnostic accuracy directly influences the safety of production systems and the efficiency of equipment operation...
Dynamic performance improvement of high-speed on/off valve based on pre-excitation bootstrap control
January 2026
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...
An integration of BCI and vision system for robotics applications: A review
December 2026
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...
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...
Joint optimization of production scheduling and predictive maintenance of multi-station manufacturing systems considering operational robustness
Available online 10 August 2026
Intelligent maintenance and health management of manufacturing production lines require the tight integration of production scheduling and predictive maintenance to ensure robust and reliable operation....
A Review of Research on Wear and Intelligent Health Management of the Axial Piston Pump
Available online 10 May 2026
The axial piston pump is widely used in aerospace and other industrial fields due to its high pressure, high efficiency, and flexible flow regulation. Due to the long-term high-speed, high-pressure...
Internal processing or outsourcing? An asynchronous meta-heuristic for dual-resource flexible job shop scheduling with multiple outsourcing centers
Available online 29 June 2026
Modern discrete manufacturing systems typically require comprehensive scheduling of equipment and human resources in the internal workshop, while the service time window imposed by the outsourcing workshop...