Battery pack rough solder joint detection method
Research on PCB solder joint defect detection method based on …
The basic principles of image processing-based and machine learning-based methods for defect detection are summarized and the advantages and disadvantages of both methods with relevant performance evaluation indicators are compared. Printed circuit boards (PCBs) are an essential component of electronic …
Intelligent Pseudo Solder Detection in PCB Using Laser-Pulsed …
Solder joints of printed circuit board provide the electrical and mechanical connections between electronic component and substrate. A pseudo solder inside the solder joint can reduce its electrical conductivity and often leads to crack initiation and propagation in service. The pseudo solder is a threat to the normal operation of the …
Robust vision detection of pipeline solder joints
Design/methodology/approach A robust visual detection method based on the characteristics of pipeline solder joints is proposed. With the improved hue, saturation and value (HSV) color space, the method uses a …
Solder Joint Defect Detection Based on Image Segmentation and …
Image feature extraction and machine learning methods are used to detect and identify PCB solder joints. The normal/abnormal classification of solder joints are realized. …
PCB plug-in solder joint defect detection method based on …
Scientific Reports - PCB plug-in solder joint defect detection method based on coordinated attention-guided information fusion ... Pack. Manuf. Technol. 8, 689–698 (2018). Article Google Scholar ...
Automatic compact camera module solder joint inspection method …
This paper proposes a CCM solder joint automatic detection method based on machine vision, which quickly completes the dynamic recognition of ROI based on invariant moment features and pyramid layering strategy, and …
Adaptive Multitimescale Joint Estimation Method for SOC and Capacity of Series Battery Pack
Aiming at the estimation timescale selection problem in the multistate joint estimation for the state of charge (SOC) and capacity at the cell level of the series battery pack, an adaptive multitimescale dynamic time-varying strategy (AMts-DtvS) is proposed. This strategy includes a triggered update strategy for the mean capacity of the battery pack, a time …
PCB plug‐in solder joint defect detection method based on …
Aiming at the problem that the existing PCB plug‐in solder defect detection algorithms cannot meet the requirements of high precision, low false alarm rate, and high speed at …
Multi-fault online detection method for series …
This paper discusses the research progress of battery system faults and diagnosis from sensors, battery and components, and actuators: (1) the causes and influences of sensor fault, actuator...
Research on PCB solder joint defect detection method based on …
Printed circuit boards (PCBs) are an essential component of electronic products, and detecting solder joint defects is critical in the PCB production process. Machine vision technology allows detection with high efficiency and cost-effectiveness. Therefore, this paper summarizes the basic principles of image processing-based and machine learning …
A Control-Chart Based Method for Solder Joint Crack Detection
A Control-Chart Based Method for Solder Joint Crack Detection Jianbiao Pan California Polytechnic State University, San Luis Obispo, CA 93407 The Shewhart control chart can be used to detect the assignable cause of variation from the chance cause of variation.
Detecting Anomalous Solder Joints in Multi-sliced PCB X-ray …
solder joints are very imbalanced, and there are likely novel types of defected solder joints in the incoming dataset that is unseen in the training dataset. In this paper, an outlier …
Spot Welding Vs Soldering Lithium Cells
Welded connections are plenty robust enough for building battery packs and their nature makes them ideal for compact battery construction. When comparing soldering vs spot welding lithium cells, …
Robust Automated Void Detection in Solder Balls and Joints
for balls that are highlighted in Figs. 2(a)-(d), respectively. The images in Figs. 2(e)-(h) are enhanced for visual clarity to show all possible voids inside the highlighted solder balls in Figs. 2(a)-(d). One of the methods used to locate voids inside solder balls is to use ...
An Improved YOLOv5 Model for Detecting Laser Welding Defects of Lithium Battery …
Appl. Sci. 2023, 13, 2402 3 of 15 2. Laser Welding Defect Detection Model for Lithium Battery Pole 2.1. YOLOv5 Algorithm The official YOLOv5 source code provides four network models with increasing network depth and feature map width, namely YOLOv5s
Anomaly Detection for Solder Joints Using $β$-VAE
Anomaly Detection for Solder Joints Using $β$-VAE 24 Apr 2021 · Furkan Ulger, Seniha Esen Yuksel, Atila Yilmaz · Edit social preview In the assembly process of printed circuit boards (PCB), most of the errors are caused by solder joints in Surface Mount ...
Internal short circuit detection method for battery pack based on …
Internal short circuit (ISCr) is one of the major obstacles to the improvement of the battery safety. The ISCr may lead to the battery thermal runaway and is hard to be detected in the early stage. In this work, a new ISCr detection method based on the symmetrical loop circuit topology (SLCT) is introduced. The SLCT ensures that every …
Solder Joint Recognition Using Mask R-CNN Method
The proposed method can classify and identify the position and segment of the solder joint defect simultaneously with very high recognition accuracy. This article …
Efficient Faster R-CNN: Used in PCB Solder Joint Defects and …
In this paper, an improved efficient Faster R-CNN algorithm used in PCB solder joint defects and components detection is proposed. The accurate detection of solder joint …
Soldering defect detection in automatic optical inspection
Section snippets Existing solder joint localization methods The existing solder joint localization methods are based on three groups of image processing algorithms using (1) template-matching, (2) image histogram, and (3) clustering of pixels. Template matching is an approach used in image processing for identifying small parts of …
An Implementation of Health Prediction in SMT Solder Joint via …
An approach based on machine learning is proposed in this paper to predict the health of solder joint and indicated that the proposed method is not only more efficient, but also provides a high improved rate of 88.8% in SMT process. The assembly process of printed circuit boards (PCBs) has widely adopted surface mount technology (SMT) in past …
Tutorial: Soldering Li-Ion Battery Cells (18650, 18500 …
14.2K Soldering Li-ion batteries, such as 18650 cells, can be dangerous. Overheating may cause the battery to catch fire and explode. If you decide to solder a battery, you do so at your own risk. Some of the links on this …
Multi-fault online detection method for series-connected battery packs …
PDF | On Oct 1, 2017, Yongzhe Kang and others published Multi-fault online detection method for series-connected battery ... consistently increased as the solder joints were degraded due to the ...
Soldering defect detection in automatic optical inspection
In terms of possible soldering defects, most of them happen after the reflowing stage, such as the defects at the IC package components (Pseudo joint, …
Applied Sciences | Free Full-Text | Solder Joint Defect …
The miniaturization and high integration of electronic products have higher and higher requirements for welding of internal components of electronic products. A welding quality detection method …
A Control-Chart Based Method for Solder Joint Crack Detection
In this study, the application of the control-chart based method for solder joint failure detection in a thermal fatigue study is presented. The time-to-failure data based on this method are compared with the failureto-failure data based on three other - …
Research on PCB solder joint defect detection method based on …
Abstract. Printed circuit boards (PCBs) are an essential component of electronic products, and detecting solder joint defects is critical in the PCB production process. Machine …
A Cascaded Zoom-In Method for Defect Detection of Solder Joints
Defect detection of solder joints plays an essential role in PCB quality control. Feature-Extraction based detection method is popular where color-histogram features and SIFT features are widely used. The histogram feature is simple but incapable of detecting all defect categories. The SIFT feature is invariant to scale and rotation and is able to detect …
ACR-Net: Attention Integrated and Cross-Spatial Feature Fused Rotation Network for Tubular Solder Joint Detection
Tubular solder joint detection is an important and challenging issue in the industry, due to the illegible objects, rarely collected datasets and requiring high-precision and real-time performance for positioning and angle estimation. In this article, we propose an Attention integrated and Cross-spatial feature fused Rotation Network (ACR-Net) for tubular solder …
Multi-scale Coefficients Fusion Strategy for Enhancement of SAM Image in Solder Joints Detection …
Defect inspection of IC devices is getting more challenging with the increase of package density. Scanning acoustic microscopy (SAM) is widely used in electronic industry. The detection resolution is, however, limited by the penetration depth of ultrasound. It is necessary to find a way to improve the resolution and accuracy. A new …
Robust automated void detection in solder balls and joints
Most of the existing void detection methods ignore processing solder balls that are occluded by board components because of the difficulties of extracting solder balls from connected areas. In our ...
PCB plug-in solder joint defect detection method based on …
Aiming at the problem that the existing PCB plug-in solder defect detection algorithms cannot meet the requirements of high precision, low false alarm rate, and high speed at the same time,...
How to Solder Lithium Ion Batteries and Cells
How to Solder Lithium Ion Batteries and Cells
Automatic Solder Defect Detection in Electronic Components …
In order to adapt to the high standard of defect detection in industrial production for electronic component soldering and to address the issues of unbalanced integrated circuit (IC) defect samples and the difficulty of defect detection and segmentation, this article proposes a model based on the Swin transformer architecture for automatic …
Visual Inspection for Laser Welding Joints of Electrodes in Lithium-Ion Battery …
Li-ion battery pack with a PCM and visual inspection system. … Our laser-welding joint inspection algorithm flow. … Tab image (Fig.5(b)) preprocessing using Log-Gabor filter with (a) σ 0 = 0. ...
Deep learning based solder joint defect detection on industrial …
The way to distinguish the solder joint of interest and the adjacent solder joint is the ROI mask, which is (channel_3) in the pre-processing method. The ROI …
Cold solder joints – Unraveling the hazards, causes, detection, …
6 · Imagine a world without technology, where wires hang loose and components fail to connect. The culprit? Cold solder joints—a notorious adversary for electronic enthusiasts and professionals alike. So, fasten your seatbelt and join us on this journey to uncover the secrets of cold solder joints!
[2020] How to Solder 18650, AA, 9v, or ANY Other Battery (To Make Battery Packs) | Safe & Quick
This very quick and informative guide will show you how to solder any battery (Including Li-poly & lead acid). This guide will be useful if you are planning ... This very quick and informative ...
Spot Welding for Lithium-Ion Battery Packs
In this article, we will show how to spot weld a battery pack made from 18650 more 21700 cells. This knowledge will help you build your own lithium-ion pack. The battery packs used in RC Toys, Laptops, …
Improved YOLOv3 detection method for PCB plug-in solder joint …
Traditional visual detection methods need artificial design features, so their detection accuracy is poor, and the rate of missed and false detection is high. To solve the above problems, this paper proposes an improved YOLOv3 (You Only Look Once) detection method for PCB plug-in solder spot defects based on the combination of the …
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