论文降重
免费查重- 钛学术文献服务平台 \
- 学术期刊 \
- 综合期刊 \
- 其它期刊 \
- 仪器仪表学报：英文版期刊 \
Fault Detection Using Negative Selection and Genetic Algorithms
Fault Detection Using Negative Selection and Genetic Algorithms
基本信息来源于合作网站，原文需代理用户跳转至来源网站获取
摘要：
In this paper,negative selection and genetic algorithms are combined and an improved bi-objective optimization scheme is presented to achieve optimized negative selection algorithm detectors.The main aim of the optimal detector generation technique is maximal nonself space coverage with reduced number of diversified detectors.Conventionally,researchers opted clonal selection based optimization methods to achieve the maximal nonself coverage milestone;however,detectors cloning process results in generation of redundant similar detectors and inefficient detector distribution in nonself space.In approach proposed in the present paper,the maximal nonself space coverage is associated with bi-objective optimization criteria including minimization of the detector overlap and maximization of the diversity factor of the detectors.In the proposed methodology,a novel diversity factorbased approach is presented to obtain diversified detector distribution in the nonself space.The concept of diversified detector distribution is studied for detector coverage with 2-dimensional pentagram and spiral self-patterns.Furthermore,the feasibility of the developed fault detection methodology is tested the fault detection of induction motor inner race and outer race bearings.
推荐文章
Determination of brominated diphenyl ethers in atmospheric particulate matter using selective pressu
Brominated diphenyl ethers
Atmospheric particulate matters
Selective pressurised liquid extraction
Gas chromatography-mass spectrometry
Origin and genetic family of Huhehu oil in the Hailar Basin, northeast China
Hailar Basin
Huhehu Sag
Biomarkers
Chemometrics
Oil–oil and oil–source rock correlations
Shadow–highlight feature matching automatic small crater recognition using high-resolution digital o
Moon
Crater recognition
Image processing
Space exploration
内容分析
关键词云
关键词热度
相关文献总数
(/次)
(/年)
文献信息
| 篇名 | Fault Detection Using Negative Selection and Genetic Algorithms | ||
| 来源期刊 | 仪器仪表学报:英文版 | 学科 | 工学 |
| 关键词 | Detector Coverage Diversity Factor Fault Detection Genetic Algorithm Negative Selection Algorithm | ||
| 年，卷（期） | 2019,（3） | 所属期刊栏目 | |
| 研究方向 | 页码范围 | 39-51 | |
| 页数 | 13页 | 分类号 | TP18 |
| 字数 | 语种 | ||
| DOI | |||
五维指标
引文网络
引文网络
二级参考文献 (0)
共引文献 (0)
参考文献 (0)
节点文献
引证文献 (0)
同被引文献 (0)
二级引证文献 (0)
2019(0)
- 参考文献(0)
- 二级参考文献(0)
- 引证文献(0)
- 二级引证文献(0)
研究主题发展历程
节点文献
Detector
Coverage
Diversity
Factor
Fault
Detection
Genetic
Algorithm
Negative
Selection
Algorithm
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
仪器仪表学报：英文版
主办单位：
中国仪器仪表学会
科学普及出版社
出版周期：
季刊
ISSN：
2095-7521
CN：
10-1206/TH
开本：
出版地：
北京市
邮发代号：
创刊时间：
语种：
出版文献量（篇）
134
总下载数（次）
0
总被引数（次）
0
期刊文献
相关文献
推荐文献
