Machine vision systems for automatic defect detection commonly adopt 2D image-based systems or 3D laser triangulation systems. 2D and 3D systems present opposite advantages and disadvantages ...
In this study, we aimed to address the primary challenges encountered in industrial integrated circuit (IC) surface defect detection, particularly focusing on the imbalance in information density arising from difficulties in data sample collection. To this end, we have developed a new hybrid architecture model for IC surface defect detection (SDDM), based on …
In this context, energy storage systems such as battery cells are becoming increasingly relevant. High-quality cells at the lowest possible cost represent one of the central challenges of battery cell production. ... surrogate trained, models for defect detection in a battery production line is demonstrated and is expected to reduce the ramp-up ...
The 3D point cloud-based defect detection of lithium batteries used feature-based techniques to downscale the point clouds to reduce the computational cost, extracting the normals of the points and calculating their differences to detect the defects of the battery which assure the quality of the product.
The root causes of BESS fires and explosions can be attributed to a variety of factors, such as: Improper design is often a significant issue, where systems may not be sufficiently engineered to withstand operational stresses or may lack essential safety measures.; Manufacturing defects can also play a critical role, as flaws in the production process may lead …
Seismic Imaging System in Watery Goaf Detection Hao Qiu, Yi Mu, Hui Xu et al. ... defect detection of lithium-ion battery using industrial CT detection technology has many advantages, including ...
Keywords: lithium-ion battery, ultrasonic, non-destructive testing, material property, battery defect, battery safety. Citation: Yi M, Jiang F, Lu L, Hou S, Ren J, Han X and Huang L (2021) Ultrasonic Tomography Study of …
Drawbacks: Depending on the battery system''s design and requirements, some of the advantages of pouch battery geometries can also be detrimental. While the lack of casing might reduce manufacturing costs and weight and improve energy density, pouch cells can swell up to 10% in volume after a certain number of charge cycles.
Download figure: Standard image High-resolution image Therefore, defects detection is necessary before the use of thermal batteries. Traditional detection methods mainly focus on electrochemical performance testing or detection of the structure and morphology of substances inside batteries, which can cause damage to the battery as it is a one-time use item.
This systematic review aims to explore and synthesize the existing literature on defect detection methods in lithium batteries. With the increasing demand for reliable and efficient lithium ...
The future trend in global automobile development is electrification, and the current collector is an essential component of the battery in new energy vehicles. Aiming at the misjudgment and omission caused by the confusing distribution, a wide range of sizes and types, and ambiguity of target defects in current collectors, an improved target detection model DCS …
Structured light illumination technology is widely used in visual measurement and inspection. Based on laser structured light vision, Li et al. [] developed an inspection system for weld bead profile monitoring, measuring, and defect detection with scale calibration ing triangulation with line-scan cameras in a 2D plane, Lilienblum and Al-Hamadi [] presented a …
Compared with the traditional detection technology, the defect detection of lithium-ion battery using industrial CT detection technology has many advantages, including component measurement of ...
3 · Despite the growth in anomaly detection algorithms and datasets, resources for battery defect detection remain scarce. To address this gap, we have meticulously developed the BSA …
The study demonstrates the core value of the vision detection system in ensuring quality control in battery manufacturing. The integration of VisionMaster with …
This capability is of critical importance for the identification of defects that could lead to battery failure or safety issues, and guide the optimization of LIBs with better safety and …
In this study, an automatic defect detection method is proposed for screen printing in battery manufacturing. It is based on stationary velocity field (SVF) neural network template matching and the Lucas-Kanade (L-K) optical flow algorithm. The new method can recognize and classify different defects …
Deep Learning-Based Defect Detection System Combining … 433. At present, non-Lambertian photometric stereo research has made some progress, ... In this paper, we combine the advantages of photometric stereo and object detec-tion models to explore their capabilities for application in the defect detection field. First, we build a photometric ...
This paper presents a novel fault diagnosis method for battery systems in electric vehicles based on big data statistical methods. According to machine learning algorithm and …
Accurate evaluation of Li-ion battery (LiB) safety conditions can reduce unexpected cell failures, facilitate battery deployment, and promote low-carbon economies.
cerned with two research streams: surface defect detection approach and 3D point data processing method. In this sec-tion, we try to summarize the relevant literatures. 2.1 Surface defect detection approach For surface defect detection approach, many researchers had worked on the problem and proposed dierent solutions for the last decades.
For surface defect detection in a cylindrical battery case, because annealed SPCE nickel-plated steel has a smooth surface with severe reflections, as well as small and complex surface defects, a random distribution, a small wall thickness at the end of the battery case, and noise, this paper uses traditional image processing combined with YOLOv7 to propose a prescription that is …
4. Real-time Packaging Defect Detection System 4.1. The proposed system for detecting packaging defects in real-time In this section, we present the architecture, components, and functions of the YOLO-based real-time packaging defect detection system. The architecture consists of four main components and as shown in Figure 2.
The study demonstrates the core value of the vision detection system in ensuring quality control in battery manufacturing. The integration of VisionMaster with advanced vision algorithms is shown to significantly enhance the accuracy and reliability of defect detection, thereby improving overall production quality.
The system structure of the battery surface and edge defect inspection based on sub-regional Gaussian and moving average filtering mainly include linear array charge-coupled device (CCD)
The proposed technique offers the following advantages: (1) the development of a fully noncontact and nondestructive laser ultrasonic inspection system for inspecting the weld condition of a cylindrical lithium-ion battery cap; (2) the detection of invisible weld defects inside the battery cap by inspecting the exposed surface of the cap; (3 ...
Electric vehicles are developing prosperously in recent years. Lithium-ion batteries have become the dominant energy storage device in electric vehicle application because of its advantages such as high power density and long cycle life. To ensure safe and efficient battery operations and to enable timely battery system maintenance, accurate and reliable …
The DETR model is often affected by noise information such as complex backgrounds in the application of defect detection tasks, resulting in detection of some targets is ignored. In this paper, AIA DETR model is proposed by adding AIA (attention in attention) module into transformer encoder part, which makes the model pay more attention to correct defect …
While electron- and neutron-based imaging techniques offer specific advantages and can be used ... for Li-ion battery systems. ... based defect detection in lithium-ion battery electrode using ...
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