Intelligent detection technology of flip chip based on H-SVM algorithm

2022 ◽  
pp. 106032
Author(s):  
Yuhua Sha ◽  
Zhenzhi He ◽  
Jiawei Du ◽  
Zeyingzi Zhu ◽  
Xiangning Lu
Keyword(s):  
Flip Chip ◽  
Detection Technology ◽  
Svm Algorithm ◽  
Intelligent Detection

scholarly journals Research on latent defect detection technology of high voltage cable

2021 ◽  
Vol 2113 (1) ◽  
pp. 012051
Author(s):  
Sanwei Liu ◽  
Chao Qiu ◽  
Yi Xie ◽  
Jianjia Duan ◽  
Fuyong Huang ◽  
...  
Keyword(s):  
Buffer Layer ◽  
High Voltage ◽  
Power Cables ◽  
X Ray ◽  
Depth Processing ◽  
Modern Development ◽  
Detection And Identification ◽  
Detection Technology ◽  
Intelligent Detection ◽  
The Internet Of Things

Abstract As a component of the Internet of things, high-voltage cables are the power supply infrastructure for the modern development of cities. The operation experience shows that the high-voltage cable has been broken down many times, due to the defective operation. At present, due to the limitation of detection technology, the research on detection and identification of defects in high-voltage cables is progressing slowly. Therefore, a new DR technology based on X-ray digital imaging is proposed in this paper to realize real-time detection of defects in the semi-conductive buffer layer of high-voltage cables, and intelligent detection of DR images of high-voltage cables by using image depth processing technology to realize intelligent identification of defects in the buffer layer of power cables. The results show that using the new DR technique proposed in this paper, the accurate and intuitive DR image of high-voltage cable can be obtained quickly, and the intelligent identification of defects can be realized.

scholarly journals Research on SQL injection detection technology based on SVM

2018 ◽  
Vol 173 ◽  
pp. 01004 ◽  
Author(s):  
Zhuang Chen ◽  
Min Guo ◽  
Lin zhou
Keyword(s):  
Hot Spot ◽  
Web Security ◽  
Classification Model ◽  
Matching Method ◽  
Text Data ◽  
Sql Injection ◽  
Detection Technology ◽  
Svm Algorithm ◽  
Fast Variation

SQL injection, which has the characteristics of great harm and fast variation, has always ranked the top of the OWASP TOP 10, which has always been a hot spot in the research of web security. In view of the difficulty of detecting unknown attacks by the existing rule matching method, a method of SQL injection detection based on machine learning is proposed. And the author analyses the method of SQL injection feature extraction, f Finally, the word2vec method is selected to process the text data of the HTTP request, which can effectively represent the SQL injection features containing the attack payload. Training and classification of processed samples with SVM algorithm, The experiment shows that this method effectively solves the problem of SQL injection to the mutation and the high leakage rate of the rule matching. By comparing with the classification results of statistical features, this SQL injection classification model has a higher detection rate.

scholarly journals Frequency Feature Learning from Vibration Information of GIS for Mechanical Fault Detection

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1949 ◽  
Author(s):  
Yang Yuan ◽  
Suliang Ma ◽  
Jianwen Wu ◽  
Bowen Jia ◽  
Weixin Li ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Extraction Method ◽  
Support Vector ◽  
Mechanical State ◽  
Vibration Signals ◽  
Feature Extraction Method ◽  
Detection Technology ◽  
Intelligent Detection ◽  
Diagnosis Method ◽  
Frequency Feature

The reliability of gas insulated switchgear (GIS) is very important for the safe operation of power systems. However, the research on potential faults of GIS is mainly focused on partial discharge, and the research on the intelligent detection technology of the mechanical state of GIS is very scarce. Based on the abnormal vibration signals generated by a GIS fault, a fault diagnosis method consisting of a frequency feature extraction method based on coherent function (CF) and a multi-layer classifier was developed in this paper. First, the Fourier transform was used to analyze the differences and consistency in the frequency spectrum of signals. Secondly, the frequency domain commonalities of the vibration signals were extracted by using CF, and the vibration characteristics were screened twice by using the correlation threshold and frequency threshold to further select the vibration features for diagnosis. Then, a multi-layer classifier composed of two one-class support vector machines (OCSVMs) and one support vector machine (SVM) was designed to classify the faults of GIS. Finally, the feasibility of the feature extraction method was verified by experiments, and compared with other classification methods, the stability and reliability of the proposed classifier were verified, which indicates that the fault diagnosis method promotes the development of an intelligent detection technology of the mechanical state in GIS.

scholarly journals Research and analysis on defect detection of semi-conductive layer of high voltage cable

2020 ◽  
Vol 185 ◽  
pp. 01057
Author(s):  
Sanwei Liu ◽  
Jun Zhang ◽  
Yi Xie ◽  
Jianjia Duan ◽  
Fuyong Huang ◽  
...  
Keyword(s):  
Buffer Layer ◽  
High Voltage ◽  
Power Cables ◽  
X Ray ◽  
Depth Processing ◽  
Modern Development ◽  
Detection And Identification ◽  
Detection Technology ◽  
Intelligent Detection ◽  
The Internet Of Things

As a component of the Internet of things, high-voltage cables are the power supply infrastructure for the modern development of cities. The operation experience shows that the high-voltage cable has been broken down many times due to the defective operation. At present, due to the limitation of detection technology, the research on detection and identification of defects in high-voltage cables is progressing slowly. Therefore, a new DR technology based on X-ray digital imaging is proposed in this paper to realize real-time detection of defects in the semi-conductive buffer layer of high-voltage cables, and intelligent detection of DR images of high-voltage cables by using image depth processing technology to realize intelligent identification of defects in the buffer layer of power cables. The results show that using the new DR technique proposed in this paper, the accurate and intuitive DR image of high-voltage cable can be obtained quickly, and the intelligent identification of defects can be realized.

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