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Batteries | Free Full-Text | Multi-Cell Testing Topologies for Defect Detection …
Given the increasing use of lithium-ion batteries, which is driven in particular by electromobility, the characterization of cells in production and application plays a decisive role in quality assurance. The detection of defects particularly motivates the optimization and development of innovative characterization methods, with simultaneous …
Photometric Stereo-Based Defect Detection System for Steel …
This paper presents an automatic system for the quality control of metallic components using a photometric stereo-based sensor and a customized semantic segmentation network. This system is designed based on interoperable modules, and allows capturing the knowledge of the operators to apply it later in automatic defect …
Resolving data imbalance in alkaline battery defect detection: a …
A voting-based recognition algorithm containing three parts designed to provide fine-grained category representations for alkaline battery defect detection and a voting-based prediction approach is proposed to improve accuracy and obtain the final results. Alkaline battery defect detection is crucial for ensuring product quality and …
5. Wafer defect inspection system : Hitachi High-Tech …
The major role of a wafer defect inspection system is to detect defects on a wafer and find out their positions (position coordinates). On the other hand, systematic defects are caused by the conditions of the mask and …
An intelligent and automated 3D surface defect detection system for quantitative 3D estimation and feature classification of material surface ...
This research presents a high-precision 3D surface defect detection system, which can evaluate the defect of the detected object accurately and quantitatively. As shown in Fig. 1, the implementation logic of this proposed system is to first carry out system calibration, then to perform 3D reconstruction and point-image relationship …
Research progress, challenges and prospects of fault diagnosis …
The main purpose of this paper is to analyze the fault type of battery system and their influences, summarize the fault diagnosis method and current research …
Precision-concentrated Battery Defect Detection Method in Real …
Hundreds of electric vehicle (EV) battery thermal runaway accidents resulting from untreated defects restrict further development of EV industry. Battery defect detection based on the abnormality of external parameters is a promising way to reduce this kind of thermal runaway accidents and protect EV consumers from fire danger. However, …
Research papers Battery defect detection for real world vehicles …
Considering the influence of soc. on battery characteristics, we propose a AIEM-SOC to dynamically extract the effective soc. interval for battery defect detection. (2) GDP-DLCSS is proposed for battery defect detection, the parameters of which are driven by data to avoid the subjectivity of manually defined thresholds.
Surface Defect Detection: Dataset & Papers
📈 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance. Important critical papers from year 2017 have been collected and …
Lithium battery surface defect detection based on the YOLOv3 detection …
With the continuous development of science and technology, cylindrical lithium batteries, as new energy batteries, are widely used in many fields. In the production process of lithium batteries, various defects may occur. To detect the defects of lithium batteries, a detection algorithm based on convolutional neural networks is proposed in …
Nondestructive Defect Detection in Battery Pouch Cells: A …
This study compares two nondestructive testing methods for the 3D visualization of defects at different depths inside a pouch battery cell: scanning acoustic microscopy (SAM) and …
Evaluating fault detection strategies for lithium-ion batteries in …
A new method called local gravitation outlier detection spots tiny voltage dips in lithium-ion batteries, allowing for earlier fault detection in battery systems. The …
Defect Detection
For automatic detection of surface defects in various products Segmentation-Based Deep-Learning Approach for Surface-Defect Detection skokec/segdec-net-jim2019 • • 20 Mar 2019 This paper presents a segmentation-based deep ...
Precision-concentrated Battery Defect Detection Method in Real …
Battery defect detection based on the abnormality of external parameters is a promising way to reduce this kind of thermal runaway accidents and …
Deep-Learning-Based Lithium Battery Defect Detection via Cross …
Abstract: This research addresses the critical challenge of classifying surface defects in lithium electronic components, crucial for ensuring the reliability and safety of lithium batteries. With a scarcity of specific defect data, we introduce an innovative Cross …
Energies | Free Full-Text | A Review on the Fault and Defect Diagnosis of Lithium-Ion Battery …
The battery system, as the core energy storage device of new energy vehicles, faces increasing safety issues and threats. An accurate and robust fault diagnosis technique is crucial to guarantee the safe, reliable, and robust operation of lithium-ion batteries. However, in battery systems, various faults are difficult to diagnose and …
Rechargeable lithium-ion cell state of charge and …
The development of noninvasive methodology plays an important role in advancing lithium ion battery technology. Here the authors utilize the measurement of tiny magnetic field changes within a ...
Surface defect detection of cylindrical lithium-ion battery by …
In the proposed Lithium-ion battery Surface Defect Detection (LSDD) system, an augmented dataset of multi-scale patch samples generated from a small number of …
X-Ray Computed Tomography (CT) Technology for Detecting …
Additionally, industrial CT assists manufacturers in identifying and resolving potential safety risks associated with batteries by detecting issues like internal …
Review A review of automated solar photovoltaic defect detection systems…
In this paper, data analysis methods for solar cell defect detection are categorised into two forms: 1) IBTs, which depend on analysing the deviations of optical properties, thermal patterns, or other visual features in images, and 2) ETTs, which depend on comparing ...
A systematic review of ultrasonic techniques for defects detection …
1. Introduction Defects in construction and building materials, particularly in concrete, can have severe consequences on durability [1], especially in harsh environments [2], [3].One notable example is the corrosion of rebars within concrete [4], which can lead to a range of serious outcomes in civil engineering [5], these include the …
Progress and challenges in ultrasonic technology for state estimation and defect detection of lithium-ion batteries …
Due to the inability to directly measure the internal state of batteries, there are technical challenges in battery state estimation, defect detection, and fault diagnosis. Ultrasonic technology, as a non-invasive diagnostic …
Surface defect detection of cylindrical lithium-ion battery by …
In the proposed Lithium-ion battery Surface Defect Detection (LSDD) system, an augmented dataset of multi-scale patch samples generated from a small number of lithium-ion battery images is used in the learning process of a two-stage classification scheme
Surface Defects Detection and Identification of Lithium Battery …
In order to realize the automatic detection of surface defects of lithium battery pole piece, a method for detection and identification of surface defects of lithium battery pole piece based on multi-feature fusion and PSO-SVM was proposed in this paper. Firstly, image subtraction and contrast adjustment were used to preprocess the defect …
An analytical survey of textile fabric defect and shade variation detection system …
In modern days the detection of defects in textile industries using digital image processing techniques is an emerging area of research. The faulty fabric is subjected to several image processing techniques such as preprocessing, feature identification, segmentation and classification. The detection in the fabric are identified through manual …
Resolving data imbalance in alkaline battery defect detection: a …
DOI: 10.1784/insi.2024.66.5.305 Corpus ID: 269679222 Resolving data imbalance in alkaline battery defect detection: a voting-based deep learning approach @article{Xu2024ResolvingDI, title={Resolving data imbalance in alkaline battery defect detection: a voting-based deep learning approach}, author={Zhenying Xu and Bangguo …
Nondestructive Defect Detection in Battery Pouch Cells: A …
SAM using a 15 MHz transducer in reflection mode can detect defects at depths of up to four electrode sheets with a lateral resolution of 150 μm in 2 min. CT can locate defects on all eight stacked electrode sheets inside the pouch cell.
Sensors | Free Full-Text | Photometric-Stereo-Based Defect Detection System …
Automated inspection technology based on computer vision is now widely used in the manufacturing industry with high speed and accuracy. However, metal parts always appear in high gloss or shadow on the surface, resulting in the overexposure of the captured images. It is necessary to adjust the light direction and view to keep defects out …
A Real-Time Automated Defect Detection System for Ceramic …
Defect detection is a key element of quality control in today''s industries, and the process requires the incorporation of automated methods, including image sensors, to detect any potential defects that may occur during the manufacturing process. While there are various methods that can be used for inspecting surfaces, such as those of …
Sensors | Free Full-Text | Progress in Active Infrared Imaging for Defect Detection …
In recent years, infrared thermographic (IRT) technology has experienced notable advancements and found widespread applications in various fields, such as renewable industry, electronic industry, construction, aviation, and healthcare. IRT technology is used for defect detection due to its non-contact, efficient, and high …
Image-based defect detection in lithium-ion battery electrode …
Deep learning computer vision methods were used to evaluate the quality of lithium-ion battery electrode for automated detection of microstructural defects from light microscopy images of the sectioned cells, demonstrating that deep learning models are able to learn accurate representations of the microstructure images well enough to distinguish …
Rechargeable lithium-ion cell state of charge and …
Batteries are a crucial enabling technology in many important energy solutions and they are integral to advances in portable electronics, electric vehicles, and grid storage. Continued demand for ...
Rechargeable lithium-ion cell state of charge and defect detection …
Here the authors utilize the measurement of tiny magnetic field changes within a cell to assess the lithiation state of the active material, and detect defects. When …
YOLO-CEA: a real-time industrial defect detection method based …
This paper proposes a real-time industrial defect detection method based on context enhancement and attention to address the problem that current general-purpose target detectors can hardly achieve high detection accuracy and fast detection speed simultaneously. First, a modified MonileNetV3 is used as the backbone network to reduce …
An end-to-end Lithium Battery Defect Detection Method Based on …
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 …
Powering Up Battery Manufacturing with High-Speed Defect Detection
For high volume operations, automated systems are also available that enable 100% inspection of battery cells, ensuring both safety and optimal performance. SAM can detect defects in batteries as miniscule as 50-microns. OKOS Scanning Acoustic
AUTOMATED DEFECT DETECTION IN BATTERY LINE …
this purpose, we propose an in-situ system that automates the quality control process and per ... defect detection in battery assembly lines. 2 METHODOLOGY This section provides a comprehensive account of the implementation procedure, which focuses on ...