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 …
This paper presents an automatic flaw inspection scheme for online real-time detection of the defects on the surface of lithium-ion battery electrode (LIBE) in actual industrial production. Firstly, based on the conventional methods of region extraction, ROI (region of LIBE) could be extracted from the captured LIBE original image. Secondly, in order to …
Custom image processing algorithms are developed to be used with pulse thermography, leading to automated detection, classification, and quantification of defects on electrode films. Imperfections such as gradients, bubbles, streaks, and mixing issues are efficiently identified on lab-created and simulated electrode films.
Wall defect detection is an important research problem in automatic housing decoration. In recent years, deep learning (DL) is widely used in computer vision [1 – 3], and the current mainstream object detection methods [] based on deep learning can be divided into two-stage detection and one-stage detection. ...
The increasing global demand for high‐quality and low‐cost battery electrodes poses major challenges for battery cell production. As mechanical defects on …
The increasing global demand for high-quality and low-cost battery electrodes poses major challenges for battery cell production. As mechanical defects on the electrode sheets …
Realising an ideal lithium-ion battery (LIB) cell characterised by entirely homogeneous physical properties poses a significant, if not an impossible, challenge in LIB production. Even the slightest deviation in a process parameter in its production leads to inhomogeneities and causes a deviation in performance parameters of LIBs within the …
DOI: 10.1109/ISAS49493.2020.9378852 Corpus ID: 232371939 An Automatic Defects Detection Scheme for Lithium-ion Battery Electrode Surface @article{Liu2020AnAD, title={An Automatic Defects Detection Scheme for Lithium-ion Battery Electrode Surface}, author={Yu Liu and Yang Chen and Jiaming Xu}, …
As depicted in Fig. 2, the production of PCBs involves a variety of intricate procedures, including drilling, cutting, resistance welding, testing, and more.Thus, the PCB defect inspection system are quite stringent, due …
To enable automatic detection of visually detectable defects on electrode sheets passing through the process steps at a speed of 9 m s−1, a You‐Only‐Look‐Once architecture …
Development of an Autonomous Unmanned Aerial Vehicle 97 Fig. 2. Procedure of multi-image processing for crack detection (Afzal et al. 2023). 3 Results and Discussion A preliminary result is reported in the present paper. This includes the design, develop-ment
A review on modern defect detection models using DCNNs
Abstract: This paper presents an automatic flaw inspection scheme for online real-time detection of the defects on the surface of lithium-ion battery electrode (LIBE) in actual …
The Government of the Autonomous Republic of Abkhazia [a] is an administration established by Georgia as the legal and only government of Abkhazia.Abkhazia has been de facto independent from Georgia – though with limited international recognition – …
Abstract. The increasing global demand for high-quality and low-cost battery electrodes poses major challenges for battery cell production. As mechanical defects on the electrode sheets have an impact on the cell performance and their …
AbstractCurrent pavement condition–assessment procedures are extensively time consuming and laborious; in addition, these approaches pose safety threats to the personnel involved in the process. In this study, a …
Correlation of detected defects with process parameters provides the basis for optimization of the production process and thus enables long-term reduction of reject rates, shortening …
Automated Defect-Detection System for Water Pipelines Based on CCTV Inspection Videos of Autonomous Robotic Platforms September 2023 IEEE/ASME Transactions on Mechatronics PP(99) DOI:10.1109/TMECH ...
The management of product quality is a crucial process in factory manufacturing. However, this approach still has some limitations, e.g., depending on the expertise of the engineer in evaluating products and being time consuming. Various approaches using deep learning in automatic defect detection and classification during …
IET Intelligent Transport Systems is an interdisciplinary journal publishing research on the practical applications of intelligent transport systems and infrastructure. Abstract To find the most-likely-failure scenarios given a certain operation domain, a critical-scenario-based test is supposed as an effective method.
The increasing global demand for high-quality and low-cost battery electrodes poses major challenges for battery cell production. As mechanical defects on the electrode sheets have an impact on the cell performance and their lifetime, inline quality control during electrode production is of high importance. Correlation of detected defects …
Download Citation | On May 9, 2023, Haochen Wang and others published Autonomous and Cost-effective Defect Detection System for Molded Pulp Products | Find, read and cite ...
To enable automatic detection of visually detectable defects on electrode sheets passing through the process steps at a speed of 9 m s−1, a …
Water is an essential element for the survival of human beings and a nation. Nowadays, water utilities perform regular inspections of the internal conditions of the pipelines via autonomous robotic platforms. The human operator then analyzes the recording of the platforms to identify the defects inside the water pipelines. This manual …
In this paper, we present an autonomous defect detection system for such products. In the system design, we face four challenges: first, molded pulp products come in various forms and sizes; second, defects are typically small and appear in different forms; third, detection must be fast enough to achieve desired high production rates; …
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-Domain Generalization (CDG) approach, incorporating Cross-domain Augmentation, Multi-task Learning, and …
The ability of the quality assurance (QA) system developed here to detect mechanical defects in real time is validated by an exemplary integration of the …