As the core power equipment and primary load in power systems, electric motors are involved throughout the entire power generation, transmission, substation, and distribution processes. Their operational reliability directly determines the safety and stability of the power grid. This paper provides a systematic analysis of the current status and future trends in motor fault diagnosis. Specifically, it summarizes the three mainstream approaches currently used in motor fault diagnosis: model-based methods, signal processing-based methods, and artificial intelligence-based methods, while highlighting the respective advantages and application limitations of each approach. The analysis reveals th... More >

With the development of desktop robotic arms towards low cost, lightweight and intelligence, the embedded Arduino vision-based robotic arm grasping technology has become a research hotspot. This paper reviews the current research status of the robotic arm vision grasping technology and embedded SLAM navigation with Arduino as the lower computer. Firstly, the embedded Arduino vision-based robotic arm grasping is introduced, and the system architecture, mainstream kinematic modeling methods, visual calibration, pose estimation, dynamic analysis and stability, and trajectory planning processes are sorted out in sequence. Then, the shortcomings of the system in terms of adaptability to complex e... More >

Traditional teach-and-repeat robotic arms, which rely on pre-programmed trajectories and manual teaching, struggle to adapt to operational requirements in unstructured environments where the position, posture, or type of target objects may vary unpredictably. In contrast, robot control technology based on visual servoing empowers robotic arms with "visual perception" capabilities, enabling real-time environment sensing and dynamic action adjustment, which significantly enhances the flexibility and efficiency of sorting and assembly operations. This paper designs and implements a five-degree-of-freedom (5-DOF) vision-guided picking robotic arm system based on a distributed control architectur... More >

In the field of high-end precision manufacturing, quality control in production processes has long been challenged by both spatiotemporal data sparsity and error lag. Traditional offline sampling methods struggle to capture the dynamic fluctuations in production, while single-dimensional feedback controls fall short in addressing the nonlinear coupling between multi-dimensional process parameters and final product quality. To address these challenges, this paper proposes a production quality management system based on multi-dimensional data learning and an active error elimination method. First, to tackle the issue of sparse sampling, an Adaptive Gaussian Process Regression (AGPR) algorithm... More >

This paper establishes an analytical kinematic model for a three-degree-of-freedom planar manipulator with three serial links, and validates it through MATLAB numerical simulations and SolidWorks-ADAMS co-simulation. Based on the mechanism topology and the Denavit-Hartenberg (D-H) parameter method, coordinate frames are assigned, and homogeneous transformation modeling is performed, leading to a closed-form forward kinematics expression for the end-effector pose. By combining wrist-point decomposition, geometric approaches, and the law of cosines, an analytical inverse kinematics solution is derived, and the characteristics of multiple solution configurations are discussed. The simulation re... More >

Aiming at the problems of low efficiency, strong subjectivity in traditional bearing surface defect detection and insufficient dimensional measurement accuracy, this paper proposes an integrated detection scheme SimAM-YOLO that combines the improved YOLOv5 algorithm with size measurement technology. Based on YOLOv5, the scheme replaces the original C3 module with the C2F network structure and embeds the SimAM attention mechanism to enhance the model's ability to extract defect features. Combined with OpenCV, it realizes the real-time measurement of the key dimension of bearing radius and constructs a visual system for bearing size measurement. Experimental results show that the improved mode... More >

This inaugural editorial aims to provide a comprehensive and in-depth exposition of the profound historical context, core academic value, and long-term vision underlying the establishment of ICCK Transactions on Intelligent Cyber-Physical Systems (hereinafter referred to as “the Journal”). We are standing at the forefront of the Fourth Industrial Revolution, driven by the rapid advancement of cyber-physical integration technologies. As the central engine of this transformative wave, intelligent cyber-physical systems—through the deep and organic fusion of computing, communication, control technologies, and artificial intelligence-are fundamentally reshaping industrial infrastructures,... More >